Diego Pavia and Paul Finebaum are this week’s Netflix Sports Club guests. Paul Finebaum, the voice of the SEC, drops a bold national championship prediction that might give the Big Tenners pause, and he reveals which SEC quarterback has him starstruck. Vanderbilt quarterback, Diego Pavia, gives a standout performance on and off the field in SEC Football: Any Given Saturday. He relives that improbable ‘Bama victory, including pre-game routine and why he thinks this victory changed the conversation about Vandy football - sorry Nick Saban. Paul Fineman and Diego Pavia gaze into the crystal ball of the 2025 season, and what do they see? Heisman Trophies, making Auburn pay, and LSU’s chances for glory. In this interview, Vandy QB, Diego Pavia: 🟥 Details the 2024 Vandy vs. ‘Bama Buildup 🟥 Discusses playing for Coach Lea and with his bestie 🟥 Reveals his true height In this interview, SEC Expert, Paul Finebaum answers: 🟥 Why the SEC’s staying power is unrivaled? 🟥 Who’s almost a bigger star than Taylor Swift? 🟥 Which team will win the 2025 National Championship? 00:00 Intro 01:24 Vandy QB Diego Pavia Is a Star 01:37 Beating Bama 03:19 Choosing Vandy And Coach Lea 04:58 Give Me The Ball 06:20 Dude Put In The Work 07:38 Nick Saban Said What?? 08:20 Underdogs 10:22 Watch Out Auburn 12:33 Recruits: Come To Vandy! 13:29 Kay and Dani Talk SEC 15:54 Paul Finebaum’s SEC Picks 16:40 All About Arch Manning 17:23 SEC: The Only Game In Town 18:25 South Carolina Should Be In The Playoffs 19:40 Shane Beamer Bounce Back? 20:14 Arch Manning Is No Taylor Swift 21:42 The Weight of Being a Manning 22:31 Finebaum: “Best Player Since Tim Tebow” 23:20 LSU QB1 + Championship Or Bust 25:39 Post Saban Alabama 27:42 Is Vanderbilt Legit? 28:44 Can Mississippi State Survive? 29:49 The Vols “Will Struggle This Year” 31:44 SEC: Natty. Little Tenners: Nothing 33:09 Outro 34:28 Up Next - America’s Team: The Gambler And His Cowboys 🏈 Diego Pavia Instagram - https://bit.ly/45uLND4 TikTok - http://bit.ly/4fsLY5p X - https://bit.ly/4ldwx2j 🏈 Vanderbilt Instagram - http://bit.ly/4lfo8eu X - http://bit.ly/4mCiaWt YouTube - @vucommodores 🏈 Paul Finebaum Instagram - https://bit.ly/45kVtPv X - https://bit.ly/46JQFWc 🎙️ Kay Adams Instagram - http://bit.ly/3GYp4Go TikTok - http://bit.ly/4m7KmR9 X - http://bit.ly/45nI2Ou 🎙️ Dani Klupenger Instagram - https://bit.ly/3HeGGxx TikTok - https://bit.ly/4lQSBkl X - https://bit.ly/4lWpufr 🟥 Netflix Sports Instagram - http://bit.ly/45CPAhL TikTok - http://bit.ly/4mti6Ia X - http://bit.ly/4mseqGH Facebook - http://bit.ly/45o5xqK YouTube - @NetflixSports We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, and wherever you get your podcasts. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports Universe. Join Kay as she speaks with athletes, coaches, and top sports correspondents to break down the latest Netflix Sports series. Expect bold opinions, insightful analysis, and candid conversations you won’t find anywhere else.…
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محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Transforming the C-Suite: Why Every Leader Needs a Sales-Driven Mindset
Manage episode 474691241 series 3499431
محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Interested in being a guest? Email us at admin@evankirstel.com
Doug from CEO Sales Strategies takes us on a remarkable journey through the evolution of sales leadership, beginning with his first entrepreneurial venture at just six years old in his father's industrial machinery business. That early lesson—realizing he could earn $10 in eight minutes selling a part versus working 40 hours for the same amount—sparked a lifelong passion for sales efficiency that led him to build 36 businesses throughout his career.
The conversation dives deep into why a sales-driven mindset must originate at the C-suite level to effectively permeate an organization. Today's flattened competitive landscape means every department—from operations to customer service—needs to approach their role with revenue generation in mind. "If it's not at the C-suite level, it's not likely to trickle down through the other parts of the organization," Doug emphasizes, sharing how one company reversed a dangerous revenue decline by implementing rigorous training and accountability structures.
Perhaps most compelling is Doug's systematic approach to building elite sales teams. Rather than chasing unicorn performers, he advocates clearly defining success criteria and focusing on elevating your bottom performers. This strategy often reveals hidden stars—illustrated dramatically by one salesperson who went from earning $140,000 to $2.1 million in commissions within a single year through proper training and accountability. "These elite performers will continue to compete," Doug notes, explaining how raising the floor creates healthy competition that lifts the entire organization.
The discussion explores eight critical metrics every sales leader should track, from initial attempts through repeat business, providing a comprehensive framework for measuring and optimizing sales performance. Doug also addresses the essential role of technology in modern sales, warning that companies not embracing automation and AI tools risk being outpaced by more innovative competitors. Finally, he shares insights on cultivating strong sales cultures through consistent training and accountability, lamenting the decline of comprehensive sales training programs as "lazy application of principles."
Want to transform your organization's sales performance? Subscribe now and check out Doug's upcoming masterclasses on predictable revenue generation and effective follow-up systems—two critical areas where most companies leave substantial money on the table.
More at https://linktr.ee/EvanKirstel
فصل ها
1. Transforming the C-Suite: Why Every Leader Needs a Sales-Driven Mindset (00:00:00)
2. [Ad] Digital Disruption with Geoff Nielson (00:14:44)
3. (Cont.) Transforming the C-Suite: Why Every Leader Needs a Sales-Driven Mindset (00:15:21)
477 قسمت
اشتراک گذاریManage episode 474691241 series 3499431
محتوای ارائه شده توسط Evan Kirstel. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Evan Kirstel یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Interested in being a guest? Email us at admin@evankirstel.com
Doug from CEO Sales Strategies takes us on a remarkable journey through the evolution of sales leadership, beginning with his first entrepreneurial venture at just six years old in his father's industrial machinery business. That early lesson—realizing he could earn $10 in eight minutes selling a part versus working 40 hours for the same amount—sparked a lifelong passion for sales efficiency that led him to build 36 businesses throughout his career.
The conversation dives deep into why a sales-driven mindset must originate at the C-suite level to effectively permeate an organization. Today's flattened competitive landscape means every department—from operations to customer service—needs to approach their role with revenue generation in mind. "If it's not at the C-suite level, it's not likely to trickle down through the other parts of the organization," Doug emphasizes, sharing how one company reversed a dangerous revenue decline by implementing rigorous training and accountability structures.
Perhaps most compelling is Doug's systematic approach to building elite sales teams. Rather than chasing unicorn performers, he advocates clearly defining success criteria and focusing on elevating your bottom performers. This strategy often reveals hidden stars—illustrated dramatically by one salesperson who went from earning $140,000 to $2.1 million in commissions within a single year through proper training and accountability. "These elite performers will continue to compete," Doug notes, explaining how raising the floor creates healthy competition that lifts the entire organization.
The discussion explores eight critical metrics every sales leader should track, from initial attempts through repeat business, providing a comprehensive framework for measuring and optimizing sales performance. Doug also addresses the essential role of technology in modern sales, warning that companies not embracing automation and AI tools risk being outpaced by more innovative competitors. Finally, he shares insights on cultivating strong sales cultures through consistent training and accountability, lamenting the decline of comprehensive sales training programs as "lazy application of principles."
Want to transform your organization's sales performance? Subscribe now and check out Doug's upcoming masterclasses on predictable revenue generation and effective follow-up systems—two critical areas where most companies leave substantial money on the table.
More at https://linktr.ee/EvanKirstel
فصل ها
1. Transforming the C-Suite: Why Every Leader Needs a Sales-Driven Mindset (00:00:00)
2. [Ad] Digital Disruption with Geoff Nielson (00:14:44)
3. (Cont.) Transforming the C-Suite: Why Every Leader Needs a Sales-Driven Mindset (00:15:21)
477 قسمت
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Interested in being a guest? Email us at admin@evankirstel.com What happens when we take cancer care out of the sterile hospital environment and bring it into the comfort of patients' homes? Dan Nardi, CEO of Reimagined Care, is pioneering this transformative approach through a powerful combination of technology, AI, and human expertise. Cancer patients spend roughly 98% of their treatment journey outside clinical settings, often feeling isolated and unsupported between appointments. Many "suffer in silence" rather than "bothering" their busy oncology teams with questions and concerns, while healthcare providers struggle with overwhelming workloads that extend well into their personal time. Reimagined Care bridges this gap by becoming a seamless extension of oncology clinics nationwide, from academic medical centers to community hospitals. The magic happens through Remy, their AI-powered text messaging system that provides instant support without requiring patients to download yet another healthcare app. By designing for accessibility rather than complexity, they've achieved remarkable engagement across all age groups - with seniors surprisingly among their most active users. When issues require human expertise, Remy intelligently escalates to their virtual care center staffed by oncology-trained nurses, ensuring patients get the right level of care within minutes instead of days. The results speak for themselves: a 30% overall reduction in emergency department visits, with seniors experiencing a stunning 64% decrease. By intercepting concerns when they're mild rather than crisis-level, they're not just improving quality of life but potentially saving lives. Meanwhile, oncologists report reclaiming precious hours previously spent answering portal messages, with some finally able to have dinner with their families "for the first time" since starting their positions. As cancer treatments become increasingly personalized and home-based, this human-AI partnership model represents the future of care. Ready to reimagine what cancer treatment could look like? Visit ReimaginedCare.com or connect with Dan directly on LinkedIn to learn how you can be part of this healthcare revolution. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com When a technology has been around for over three decades, you might assume its most exciting days are behind it. But as SUSE CEO Dirk-Peter van Leeuwen aka DP reveals, Linux and open source are actually at the center of today's most transformative technologies - from AI to edge computing to digital sovereignty. The conversation begins with a passionate reminder of why open source matters: it creates exponential innovation through collaboration. "None of this would have been possible if it wasn't for people sharing their ideas and allowing other people to build on it," explains DP. This philosophy has fueled everything from the internet to cloud computing to today's AI revolution. As Europe grapples with digital sovereignty concerns, SUSE's European heritage provides unique advantages. Unlike proprietary solutions, open source inherently transcends borders while offering the transparency organizations need for security and control. DP positions SUSE as a champion of customer choice in the enterprise Linux market, supporting multiple distributions (including competitors') often beyond their official end-of-life dates. This flexibility allows organizations to maintain legacy systems while focusing resources on innovation. Perhaps most fascinating is SUSE's approach to AI adoption. Rather than prescribing specific models or frameworks, they've built a platform that allows enterprises to choose any LLM while protecting their most valuable asset: data. Their private AI solution prevents confidential information from leaving company environments - addressing a critical concern as employees rush to experiment with generative AI tools. Looking toward the future, SUSE's technology already powers everything from satellites to autonomous vehicles to 5G networks. Their K3S micro-Kubernetes solution is revolutionizing edge computing by enabling containerized workloads on devices as small as Raspberry Pi. It's a reminder that while Linux may operate invisibly beneath the surface, it remains the foundation upon which tomorrow's innovations are built. Want to explore how open source can power your organization's future while maintaining control, security, and flexibility? Discover why after 33 years, SUSE remains at the cutting edge of enterprise technology. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Data protection in the legal world is evolving rapidly, and the stakes couldn't be higher. When it comes to safeguarding critical case files and client information, law firms face unique challenges that extend far beyond typical enterprise concerns. The sheer volume of data maintained by legal organizations creates formidable technical and financial hurdles. As Will from Helient explains in this eye-opening conversation from ILTACON 2025, law firms must navigate exceptionally long retention requirements while ensuring data remains secure across multiple locations and storage media. This isn't just about good business practice—it's about preparing for what Will calls "the when, not if scenario" of data recovery. Perhaps most concerning is the widespread misconception about cloud-based SaaS solutions like Microsoft 365. Many firms falsely assume their data is fully protected simply because it resides in Microsoft's infrastructure. The reality? While Microsoft maintains the platform, customers remain responsible for protecting their own data. This critical gap in understanding leaves many legal organizations vulnerable to data loss despite their cloud migration efforts. Beyond data protection, the legal technology landscape continues to evolve rapidly. Artificial intelligence dominated conversations at ILTACON, though as Will aptly observes: "Everybody wants it. Nobody knows what to do with it." Meanwhile, the post-pandemic era has accelerated the exodus from traditional data centers as firms seek more flexible, OpEx-based cloud solutions that align with their increasingly distributed operations. Want to understand how leading legal organizations are addressing these challenges? Listen now to discover the strategies and solutions that are transforming data protection in the legal sector. Then share your own experiences with cloud migration and data security—we'd love to hear what's working for your organization. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com From zero to everywhere in just one year—that's the meteoric rise of agentic AI in the enterprise space. But beneath the buzzwords and hype, who's actually delivering real value with this technology? At AI4 in Las Vegas, Cognigy's Alan Ranger cuts through the noise to explain what truly differentiates agentic AI from traditional automation. Unlike the deterministic bots of yesterday, today's AI agents possess human-like reasoning capabilities—they understand everything, make decisions autonomously, and complete complex tasks while connected to enterprise systems at scale. The transformation is already happening. Greyhound rebuilt their entire customer service AI using Cognigy's agentic platform in just two days, enabling it to handle unpredictable scenarios like helping customers whose friends lost their phones but needed their tickets. This level of reasoning wasn't explicitly programmed—it emerged from the AI's ability to think through problems like a human would. What makes this revolution particularly exciting is how it's reshaping the role of human agents. Rather than replacement, we're seeing augmentation. Contact center professionals are evolving into brand ambassadors, freed from repetitive tasks to focus on complex problems and meaningful customer connections. As one TripAdvisor advisor put it: "I love AI. I hated doing all the demeaning tasks. It has just given me so much future as a brand ambassador." Looking ahead, Ranger envisions agentic AI expanding beyond reactive customer service into proactive engagement. Imagine scanning a QR code on a shampoo bottle that left your hair frizzy and immediately connecting with an AI that understands your specific situation and can recommend solutions—establishing a direct, personalized relationship between brands and millions of consumers simultaneously. Ready to transform your customer experience with agentic AI? Start with a concrete use case that demonstrates clear ROI, and build your expertise through programs like Cognigy Academy. The future of customer interaction isn't just coming—it's here, and it's more human than ever. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Data protection sits at the crossroads of legal technology's most pressing challenges. As law firms rapidly migrate to cloud services, a dangerous gap has emerged between adopting SaaS applications and properly securing their critical data. During our live conversation at ILTACON with Andy Fernandez, Senior Director of Product Marketing at HYCU, we dive into the startling reality that the average law firm now uses 99 different SaaS applications - each containing sensitive client information requiring ironclad protection. Andy reveals the launch of HYCU's groundbreaking enterprise backup and recovery integration for iManage Cloud, the first solution of its kind specifically designed for legal organizations. The discussion exposes a critical misconception in legal IT: the belief that cloud providers fully protect customer data. Andy clarifies the shared responsibility model that leaves firms vulnerable to data loss through user error, deletions, and tenant-level issues. While SaaS platforms offer high availability, they don't eliminate the need for comprehensive backup strategies under the customer's control. With ransomware demands jumping 30% and AI making social engineering attacks increasingly sophisticated, the stakes couldn't be higher. Andy offers practical guidance on building resilience against both direct attacks and supply chain compromises that might affect critical vendors. We explore how automation and policy-driven protection can eliminate complexity without requiring additional headcount - a crucial consideration for legal IT teams already stretched thin. The conversation concludes with a look at the evolving regulatory landscape, where emerging requirements like DORA and NIS2 will soon mandate comprehensive SaaS backup capabilities. For forward-thinking legal organizations, the message is clear: the time to implement universal data protection is now, before compliance deadlines approach and threats materialize. Listen now to understand how your firm can close the protection gap across your entire technology stack and maintain complete control of your most sensitive information. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Ever wondered what happens when artificial intelligence becomes more than just a feature but the very essence of your business? Eric Vaughan CEO of IgniteTech, Khorus, and GFI Software, has moved beyond the familiar "AI-first" terminology to something more profound – what he calls "AI DNA." His organization has transformed to the point where 75% of employees integrate AI into their daily work, regardless of their role. The conversation reveals fascinating insights into IgniteTech's recent acquisition of Khorus, bringing community forum environments and social media management solutions under their umbrella. Rather than replacing humans, Eric emphasizes their focus on augmentation – making people more productive through intelligent AI integration. This philosophy extends to their hiring practices, where every employee carries the title "AI Innovation Specialist" in their respective field, and candidates are evaluated based on their AI tool familiarity and application expertise. Vaughan delivers a sobering warning for businesses hesitant about AI adoption, describing it as an "existential threat" that could eliminate laggards within a year or two. "If you think you're behind and feel anxious about it, great. If you don't feel that anxiety, you're really in trouble," he cautions. The responsibility falls on CEOs to lead this transformation rather than delegate it. Meanwhile, IgniteTech continues developing groundbreaking solutions like MyPersonas, which creates AI clones with human backup capabilities, and the newly revealed Evoke AI designed to revolutionize website management with the bold promise to "fire your web guy" by allowing anyone to make website changes through simple conversational commands. Want to see how enterprise-grade AI differs from the flashy startups flooding the market? Curious about why AI agents need to keep humans central to decision-making? Watch our full interview with Eric and discover how established software companies are bringing decades of enterprise experience to the AI revolution. Don't forget to check out Tech Impact TV on Bloomberg and Fox Business for more transformative technology insights. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Ever wonder why your AI tools aren't delivering the results you need? The answer might surprise you. Tech futurist Shelly Palmer reveals that older professionals often outperform their younger counterparts with AI tools—not because of technical prowess, but because they know exactly what questions to ask. This counterintuitive insight is just one of many game-changing perspectives shared in our conversation about how artificial intelligence is reshaping our world. Palmer takes us behind the corporate curtain, explaining how enterprises have shifted from experimental AI adoption to full-scale operationalization in 2025. He offers practical advice that you can implement immediately, including his "95% clarity" technique that dramatically improves AI responses. For business leaders, his recommendation to create dedicated, paid AI learning time for employees could be the difference between successful implementation and costly failure. The discussion ventures beyond traditional AI applications into territory that keeps Palmer "up at night"—the militarization of autonomous systems, the emergence of consciousness-decoupled intelligence, and the fundamental behavioral changes these technologies are driving in society. When we're sharing the planet with non-human intelligence for the first time in history, what does that mean for our future? For content creators feeling overwhelmed by the digital landscape, Palmer offers refreshingly optimistic perspective. Despite the steep pyramid of success where figures like Mr. Beast dominate, today's environment presents unprecedented opportunities through its meritocratic nature. The gatekeepers have fallen, and success now depends primarily on storytelling ability and finding your unique audience. Subscribe to learn how these technological shifts will impact your work, business, and daily life—and discover strategies to stay ahead of the curve in this rapidly evolving landscape. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The last frontier of cloud computing is finally giving way as ERP systems—the mission-critical applications that businesses depend on—migrate to cloud environments. In this revealing conversation, Kevin Beasley, CIO of VAI, takes us behind the scenes of this significant shift in enterprise technology. With 47 years of experience as an ERP software vendor, VAI has witnessed the transformation firsthand since launching their cloud offerings in 2009. Kevin explains why ERP systems were traditionally the most resistant to cloud migration: "ERP runs everybody's businesses. It's the heart and brains of everything." This critical role made organizations exceptionally cautious about making changes, but that resistance is now dissolving as cloud platforms prove their reliability, security, and value. What's particularly fascinating is how the motivation for cloud migration has evolved. While early adoption was primarily cost-driven, today's businesses are moving to the cloud for enhanced security capabilities, greater availability, and seamless integration with other systems. Kevin describes sophisticated security measures like quantum-safe encryption and the operational advantages of cloud-native architectures that would be prohibitively expensive for individual companies to implement independently. The conversation doesn't shy away from challenges. Kevin emphasizes that human factors—realistic expectations, comprehensive planning, and clear responsibilities—remain the biggest potential obstacles to successful migration. He also offers a crucial reminder that cloud adoption doesn't eliminate security concerns but transforms them: "Just because you move to the cloud doesn't mean your local network security goes away." Looking toward the future, Kevin provides balanced insights on how AI is influencing cloud operations and the IT workforce. Rather than eliminating jobs, he sees AI as an enhancement that will transform roles while creating new opportunities—much like earlier technological revolutions. His perspective offers valuable guidance for organizations navigating these parallel transformations in how enterprise software is deployed and operated. Whether you're considering your own cloud migration strategy or simply interested in how technology continues to reshape business operations, this episode delivers essential insights from someone who's been at the forefront of the evolution. Subscribe now and join the conversation about the future of enterprise technology. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The race to 5G Advanced is accelerating, and the stakes couldn't be higher for telecom operators worldwide. This transformative technology represents the third wave of 5G deployment, moving beyond enhanced speeds to turn networks into programmable revenue engines capable of monetizing quality of service, implementing dynamic network slices, and enabling edge computing solutions. Stephen Douglas Head of Market Strategy @ Spirent —a leader in test automation and assurance for the communications industry—walks us through what makes 5G Advanced revolutionary. While most consumers currently experience non-standalone 5G with its faster mobile broadband, and only 78 operators globally have deployed standalone 5G architecture, nine major operators are already implementing 5G Advanced with remarkable results. These early adopters are seeing significant cost savings and new revenue streams that positively impact their bottom line, creating a widening competitive advantage as they secure enterprise contracts before rivals can develop similar capabilities. The complexity of 5G Advanced brings unique challenges in testing and deployment. The most successful implementations rely on sophisticated methodologies including digital twins for realistic network emulation, automated continuous testing across multiple vendor releases, and over-the-air testing to validate real-world performance. These approaches are critical for complex scenarios like satellite connectivity, railway communications, and mission-critical applications where device behavior is paramount. Meanwhile, operators are leveraging artificial intelligence both internally for optimization and externally as a service offering—creating entirely new revenue opportunities by providing GPU resources, inferencing capabilities, and specialized edge solutions that capitalize on their distributed infrastructure and connectivity expertise. Curious about how your organization can leverage these transformative technologies? Explore Spirent's comprehensive e-book on the top features of 5G Advanced and learn how leading operators are turning technological innovation into competitive advantage. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com The SaaS landscape is experiencing a seismic shift, with artificial intelligence accelerating at a pace unlike any previous technological wave. For companies under $100 million in revenue, this represents both an extraordinary opportunity and a critical inflection point. As Jason Masciarelli from Launchpad.io explains, these businesses now face a rapidly closing window to pivot toward AI-native solutions or risk obsolescence in an increasingly competitive market. Most mid-sized SaaS companies find themselves in a challenging position - trapped between maintaining their existing product backlog and the urgent need to incorporate AI capabilities. They've worked hard to build valuable customer relationships but struggle with how to leverage AI effectively without massive engineering investments. Through Launchpad's platform, these companies can rapidly develop AI-powered workflow solutions that complement their existing applications or create entirely new offerings to expand their market presence. What truly stands out is the fundamental shift in customer expectations. Gone are the days when businesses were satisfied with SaaS products that merely tracked information and generated reports. Today's clients demand solutions that actively orchestrate processes, deliver tangible outcomes, and leverage AI to transform how work gets done. By focusing on your unique industry expertise and customer relationships rather than rebuilding technical infrastructure, you can create differentiated AI solutions that address specific market needs. As one founder demonstrated - building on Launchpad to exceed $50M ARR and secure $300M in funding - success comes not from code itself but from delivering transformative value to customers. Ready to see how quickly you can bring your AI-powered SaaS vision to life? Visit Launchpad.io and transform your idea into a working prototype within minutes. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Autonomous AI agents represent one of the most transformative technologies for enterprise operations, but deploying them without proper orchestration creates substantial risks. In this thought-provoking conversation with Sagi Eliyahu Co-Founder and CEO Tonkean as we unpack the critical relationship between AI agents, orchestration, and governance in modern enterprises. What makes AI agents fundamentally different from traditional automation is their autonomous nature—their ability to use tools and make decisions in ways that might be unexpected. As Sagi explains, "No one is going to hire someone to an organization and give them access to everything in the company." The same principle applies to AI agents. Proper orchestration provides the technical framework that defines what agents can access, how they interact with other systems and humans, and what guardrails constrain their actions. The value proposition for enterprise AI extends far beyond efficiency. While completing tasks faster is certainly important, the true transformation comes from elevating human work, enabling people to focus on strategic thinking rather than routine tasks. Perhaps most surprising is how well-orchestrated AI agents can improve quality by combining the consistency of automation with the flexibility to handle exceptions and contextual nuances. For organizations implementing AI agents, Sagi recommends focusing on use cases where the tasks are "hard to do but easy to review"—like contract analysis, compliance checks, or code refactoring. These applications deliver immediate value while maintaining appropriate human oversight. The most successful implementations start with specific departmental processes rather than attempting organization-wide transformation. The future of enterprise AI isn't about removing humans from processes but enhancing their capabilities with intelligent, well-governed systems. By applying thoughtful orchestration principles, organizations can safely harness the power of autonomous agents to transform how they operate. How will your organization build its AI workforce? The time to establish your orchestration strategy is now. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The digital infrastructure powering our modern world faces unprecedented challenges – from AI's insatiable power demands to increasingly unpredictable weather events threatening uptime. How do data centers adapt and survive? Dave Schaible, Chief Operating Officer at Radix IoT, pulls back the curtain on the sophisticated monitoring systems keeping critical facilities operational 24/7. Their cloud-native Mango platform collects second-by-second data from infrastructure components across four continents, providing the real-time intelligence needed to prevent costly outages and optimize performance. The conversation explores the three pillars keeping data center operators awake at night: capacity constraints, reliability concerns, and environmental monitoring. With AI applications demanding up to thousands of kilowatts per rack, many facilities face difficult retrofitting decisions or must build entirely new infrastructure. Real-time visibility allows strategic workload balancing during extreme weather, potentially shifting processing power from storm-threatened regions to safer locations. We also delve into the expanding edge of data center geography – from remote mountaintops to the Australian outback – and how cellular and satellite connections enable monitoring of these distant facilities. Dave explains how regulatory compliance, customer data sharing, and sustainability reporting have evolved from nice-to-have features to essential requirements for competitive operations. Whether you manage critical infrastructure or simply depend on digital services, this conversation reveals the invisible systems and strategies ensuring our digital world keeps running even as technological demands intensify. Subscribe to learn more about the technological foundations supporting our increasingly digital lives. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com What happens when ad tech meets automation and first-party data strategy? Something revolutionary. Jay Kulkarni Founder & CEO of Theorem Inc takes us on a fascinating journey through the evolving advertising technology landscape, revealing how content and commerce companies are navigating an increasingly competitive marketplace. Since 2002, Theorem has been helping major players like iHeart, Roku, and SiriusXM streamline their campaign setup and revenue recognition processes – critical capabilities as retail media networks join traditional publishers in the battle for advertising dollars. The conversation explores Theorem's groundbreaking work in video commerce, enabling brands to host live shopping experiences directly on their websites. This approach gives brands complete control over their messaging and customer relationships at a time when privacy regulations are eliminating third-party cookies. Through strategic partnerships with technology providers like Klaviyo and Firework, Theorem is creating seamless integrations that put brands back in control of their data destiny. Perhaps most compelling is Theorem's development of Upward, a solution addressing the persistent friction points in advertising workflows. By leveraging robotic process automation and machine learning to analyze historical campaign data and streamline operations, companies are seeing 30-40% efficiency gains. As the economics of automation become increasingly favorable compared to human labor, the industry stands at an inflection point between legacy systems and innovative solutions. Ready to discover how your organization can take back control of customer relationships while streamlining operations? Listen now to understand why the future belongs to brands that establish direct connections with their audiences rather than relying on intermediary platforms. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The invisible layers of software beneath our applications harbor unseen risks that could compromise entire organizations. Nick Mistry CISO from Lineaje Inc pulls back the curtain on why software supply chain attacks like SolarWinds and Log4j caught so many companies unprepared—despite having robust security programs in place. Software today can contain dependencies that run 60 layers deep, creating a perfect hiding place for malicious code or vulnerabilities. As Nick explains, "Open source people who develop open source are in it to drive innovation. They're not necessarily in it to maintain that software over time." This fundamental tension sets the stage for the security challenges we're witnessing. What makes Lineaje approach different is their comprehensive scanning of both source code and compiled binaries to detect tampering, combined with their "Gold Open Source" program that provides pre-vetted, secure components. Most exciting is their "agentic AI" technology that automatically remediates vulnerabilities without breaking applications—completing in minutes what would take developers weeks to accomplish manually, all while keeping sensitive code within your environment. The conversation takes a fascinating turn when Nick discusses how AI is transforming the threat landscape itself. "The old world of prioritizing vulnerabilities based on exploitability is quickly becoming outdated," he warns. "Threat actors can now use AI to get any vulnerability, whether it has an exploit or not, and create an exploit almost overnight with very little skill." This reality demands a fundamental shift in how we approach software security. Want to take immediate action? Start by creating a comprehensive Software Bill of Materials (SBOM) for your applications. Join us at the Lineaje Software Supply Chain Summit on August 4th at #BlackHat to learn more about using AI for security and securing AI itself. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com The manufacturing floor and warehouse operations of tomorrow won't simply be automated—they'll be intelligent, adaptive, and collaborative. This fascinating conversation with Andy Zosel, Senior Vice President of Intelligent Automation at Zebra Technologies, takes us deep into the evolution happening at the intersection of AI and physical operations. Andy reveals how Zebra's journey in machine vision and computer vision laid the groundwork for today's AI revolution, creating systems that don't just capture data but derive meaningful insights from physical environments. We explore the critical balance between human capability and machine precision, with Andy sharing a surprising revelation: "The more we attempt to automate processes historically done by people, the more impressed we are with human capabilities." The discussion illuminates practical approaches to automation implementation, including the critical "crawl, walk, run" methodology. Rather than making dramatic leaps, Andy advocates for visibility-first strategies that identify high-impact opportunities before deploying solutions. This measured approach helps organizations overcome the common challenge of knowing where to begin their automation journey. We also explore fascinating technological convergences, including multimodal capabilities that fuse RFID with machine vision and 3D sensing to create unprecedented operational visibility. These integrated approaches are particularly valuable as organizations shift from traditional high-volume, low-mix manufacturing to more agile environments requiring high-mix, variable production. Whether you're just starting to explore automation possibilities or looking to enhance existing systems with the latest AI capabilities, this conversation provides a practical roadmap for creating collaborative environments where humans and technology amplify each other's strengths. The future of work isn't about replacing people—it's about creating intelligent partnerships that leverage the best of both worlds. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The digital landscape is undergoing a revolutionary transformation as artificial intelligence reshapes how search engines connect users with information. In this riveting conversation, mathematician-coder Andreas from artios.io shares his unique perspective on the future of SEO in an AI-driven world, drawing from his experience building his first large language model five years ago. Andreas cuts through industry confusion with a striking analogy: many SEO professionals are like pilots flying planes while the flight controls have switched from English to hieroglyphics – yet they insist nothing has fundamentally changed. This disconnect stems from a lack of understanding about how AI actually processes and evaluates web content. "The content bar has risen dramatically," Andreas explains, challenging the notion that traditional keyword-targeted articles can succeed in the AI era. Where optimization once meant producing industrial-scale content targeting search phrases, AI demands genuinely valuable insights that actual professionals would want to share with peers. "A technology leader doesn't need to read 'what is ransomware recovery' – they want to learn from others who've navigated that challenge." Perhaps most revealing is the paradigm shift in audience targeting. Rather than relying on keyword metrics (which Andreas calls "fictitious" and designed to maximize ad revenue), forward-thinking companies are data-mining conversations of their target buyers to understand what they truly care about. This approach creates content with proprietary value that AI recognizes as worth recommending. For businesses watching their search traffic dwindle, Andreas offers both caution and hope. Those continuing with traditional tactics face increasing irrelevance, while those who understand AI's evaluation mechanisms are finding tremendous new opportunities. As search evolves from keyword snippets to conversational paragraphs, the companies that adapt their content strategy accordingly will thrive in this new paradigm. Ready to transform your approach to visibility in the AI search era? Start by focusing on original insights your specific audience truly values, not just information they can find anywhere else. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Nick Kathmann, CISO at LogicGate, brings over 25 years of cybersecurity experience to tackle the paradox at the heart of modern risk management: security teams drowning in data while GRC teams are starving for it. This fundamental disconnect has long hindered effective enterprise risk management—until now. AI is emerging as the bridge between these two worlds, combing through massive datasets to identify patterns and relationships that humans might miss. Drawing from his extensive background in highly regulated environments, Kathmann explains how AI can transform incident data, near misses, and control failures into actionable intelligence that helps organizations calibrate their risk tolerance and prevent threats before they materialize. The conversation explores how cyber insurance is evolving through AI-powered underwriting that evaluates security control effectiveness with unprecedented precision. We also examine the governance challenges organizations face when SaaS providers unexpectedly enable AI features without proper opt-in procedures, creating what Kathman colorfully describes as product teams "running with scissors" to meet market demands. Perhaps most valuable is Kathmann's practical framework for implementing AI governance—understanding that different AI use cases require different risk evaluations. Whether you're enabling AI in an SAP instance, using GitHub Copilot for engineering, or building custom LLMs, each scenario demands consideration of data sensitivity, potential biases, and intellectual property implications unique to that implementation. Looking ahead, Kathmann offers an optimistic view of AI's impact on GRC professionals. Rather than replacing compliance officers, AI will likely increase demand for human expertise by making risk data more accessible and actionable. The technology will serve as a co-pilot, handling routine tasks while enabling humans to make better-informed decisions about high-impact risks. For organizations ready to transform their approach to risk management, the journey begins with mapping connections between processes, controls, and risks—then implementing modern platforms capable of turning this complex web of relationships into strategic advantage. Which aspects of your risk management program would benefit most from AI enhancement? The future of GRC is here—are you equipped to leverage it? Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The world of artificial intelligence is evolving at breakneck speed, and nowhere is this more evident than in the emergence of agentic AI - autonomous systems capable of taking independent action on our behalf. From booking travel arrangements to conducting complex research that would take teams of humans weeks to complete, these technologies promise to transform how we work and live. Dave Nicholson, CTO advisor and industry analyst at Futurum Research, brings decades of technology leadership experience to unpack this trend. Having served in executive roles at EMC, Oracle, and Dell before joining the analyst world, Dave offers a uniquely practical perspective on AI's real-world implementation. His current work teaching in the CTO accreditation and AI programs at Wharton puts him at the intersection of academic research and business application. The conversation traces AI's evolution from simple prompt-response mechanisms to research-capable systems and now to truly autonomous agents. While the technology's potential is enormous, Dave cautions that most current implementations labeled "agentic" are actually sophisticated versions of robotic process automation rather than truly autonomous systems. The real winners in this space will be organizations with well-organized data and the ability to extract business value from rapidly evolving technology. For business leaders looking to capitalize on agentic AI, Dave recommends a two-pronged approach: personal experimentation with AI tools to understand their capabilities, combined with systematic efforts to prepare organizational data for AI applications. The executives who dismiss AI as something they "don't need to understand" risk falling behind much like those who once claimed they would never need email. Perhaps most profound are the questions agentic AI raises about work and society. While these technologies promise unprecedented productivity gains, we have yet to determine how those benefits will be distributed. Will employees who become dramatically more productive through AI assistance receive better compensation, more time off, or simply face higher expectations? As Dave puts it, "We have a tiger by the tail," and anyone claiming to have all the answers about how this will unfold is being disingenuous. Ready to explore how agentic AI might transform your organization? Start experimenting with these tools today while preparing your data infrastructure for the autonomous future that's rapidly approaching. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The strategic evolution of Global Business Services marks a revolutionary shift in enterprise operations. No longer just cost-cutting centers, GBS functions are becoming powerful growth engines through the integration of agentic AI and unified data platforms. Behind this transformation lies a fundamental change in approach. While early GBS focused on moving simple tasks offshore, today's advanced operations are handling core business processes and contributing to strategic outcomes. As our expert guests reveal, this shift is enabling unprecedented efficiency – with automation rates soaring from 40% to 80% through AI implementation. What makes this possible? The emergence of agentic AI stands at the forefront. Unlike traditional automation that follows rigid rules, agentic systems can evaluate multiple scenarios, communicate across specialized sub-agents, and make context-aware decisions. We explore real-world applications already delivering remarkable results: autonomous procurement systems handling millions in transactions, perpetual KYC processes in banking, and dramatic reductions in process turnaround times. The data challenge remains critical. Enterprises struggle with fragmented systems and siloed information, but leading organizations are tackling this through configurable pipelines that harmonize data from diverse sources. Rather than attempting total standardization, they're creating purpose-built connections that power specific AI use cases. Perhaps most importantly, this revolution isn't replacing humans but empowering them. By handling routine tasks and providing AI-driven recommendations, these systems free people to focus on higher-value activities like relationship building and exception handling. The workforce is evolving from task executors to AI trainers and process partners. Ready to transform your operations? Discover how building a next-generation GBS hub with the right technology platform can position your organization at the forefront of this enterprise revolution. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The trillion-dollar investment in global mobile networks is finally opening up to developers through standardized APIs, and Aduna Global is leading the charge. Anthony Bartolo, a 35-year telecom veteran, reveals how this platform is uniting telecommunications giants worldwide to provide developers with unprecedented access to network capabilities through a single, consistent interface. "Nobody understands data sovereignty, privacy, and regulations better than an incumbent carrier group inside a particular country," Anthony explains, highlighting how Aduna leverages the deep expertise of telecom partners representing over 1.3 million employees globally. Rather than forcing developers to navigate complex integrations with hundreds of different networks, Aduna centralizes this complexity and exposes only what truly matters through standardized Camara APIs. These network capabilities go far beyond basic connectivity, offering ultra-low latency connections, edge computing integration, and real-time network intelligence that developers can incorporate into their applications. Financial services companies are already using these APIs for fraud prevention through SIM swap detection and number verification, while other enterprises are exploring how network data can enhance AI systems for anomaly detection and predictive automation. The transformation represents a fundamental shift in how telecom operators view their role in the digital ecosystem. Rather than building services independently, they're becoming platform businesses that empower external innovation while creating new revenue streams. As Anthony puts it: "When you see the lights go on, when developers share ideas you never contemplated before but you're making sure they have access to... that's when it really gets exciting." Ready to access the power of global telecom networks through a single platform? Explore how Aduna's standardized APIs can eliminate integration complexity and accelerate your development timeline while ensuring regulatory compliance across markets worldwide. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Tired of inaccurate sales forecasts and revenue surprises? You're not alone. Revenue Operations has emerged as the science behind modern selling, and it's transforming how leading companies predict and deliver their numbers. Kevin Knieriem of Clari takes us on a fascinating journey through the evolution of RevOps, explaining why it's become one of the fastest-growing job categories on LinkedIn. "Selling is really the only discipline within an organization that didn't have defined processes, that didn't have automation the way that accounts payable or supply chain might," he explains, highlighting why companies struggled with reliable forecasting for decades. The conversation explores how artificial intelligence is revolutionizing revenue management without replacing the human element. From helping sales reps focus on the right accounts to enabling managers to oversee larger teams effectively, AI serves as an amplifier rather than a replacement. Kevin shares concrete benefits seen by Clari's customers: reduced deal slippage, increased win rates, and dramatically improved forecast accuracy across all levels of the organization. Perhaps most compelling is how proper RevOps transforms the dreaded sales review from an interrogation into a coaching opportunity. "We can go from interrogation to coaching. We know exactly where we need to focus," Kevin explains. By creating a shared view of revenue data and establishing consistent processes, teams spend less time debating reality and more time taking action to improve results. Looking ahead, Kevin envisions every sales professional having access to a "virtual CRO" that answers questions about territory management and suggests which accounts deserve immediate attention. The future belongs to revenue teams that embrace both technology and human expertise to drive predictable growth. Catch more insights on business technology on our new TV show, Tech Impact TV, now available on Bloomberg and Fox Business. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The connected world of IoT devices brings incredible benefits—from smart manufacturing to intelligent agriculture—but also creates unprecedented security challenges. When billions of devices collect and transmit sensitive data in real-time, how do we ensure they're properly protected? Rodrigo Ferreira, Senior Vice President of Sales at Thales Mobile Connectivity Solutions, reveals the uncomfortable truth about IoT security: most devices lack built-in protection from the start. "Security isn't by design," he explains, leaving critical vulnerabilities that attackers can easily exploit. Among the biggest concerns is weak authentication—devices using simple login credentials that can be compromised, potentially allowing attackers to impersonate legitimate devices or even take over entire systems. When those systems control power grids or medical equipment, the consequences could be devastating. Secure device identity becomes the foundation for trust in our connected ecosystem. But authentication is just the beginning—data encryption throughout the collection, transmission, and storage journey is equally crucial. As Ferreira states, "It's not a matter of if you get hacked, it's a matter of when." Without proper encryption, compromised data can be easily exploited. The industry faces additional challenges with firmware updates (many devices simply can't be updated) and fragmented regulations across regions, making global IoT deployments particularly complex. Despite these challenges, innovation continues with promising developments like the GSM-SGP32 specification, which simplifies secure connectivity across multiple carriers without complex integrations. Ultimately, IoT security requires collaboration across the entire ecosystem—no single player can solve it alone. As we build our connected future, the responsibility falls on all participants to prioritize security at every layer, from device to network to cloud. Learn more about Thales' approach to IoT security at upcoming industry events including Mobile World Congress Americas. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Imagine a world where AI can detect serious eye disease in just 60 seconds—not in a specialist's office after months of waiting, but right at your primary care visit. That's the reality Digital Diagnostics has created with their groundbreaking autonomous AI system for diabetic retinopathy detection. In this eye-opening conversation, Mark Daly reveals how their FDA-cleared technology is transforming diabetes care by addressing a critical healthcare bottleneck. "There's a huge lack of access to care because there just aren't enough ophthalmologists," he explains. Their solution? Bringing specialist-level diagnostic capability directly to primary care settings where patients already receive regular care. What makes this approach remarkable isn't just the technology—it's the immediate impact on patient outcomes. When patients receive their diagnostic results within a minute of their scan, something remarkable happens: they follow through on treatment recommendations at significantly higher rates. Some even begin addressing their underlying diabetes management. This immediate feedback creates a powerful moment for engagement that traditional weeks-long referral processes simply cannot match. The conversation explores Digital Diagnostics' ethical framework for AI development—what they call "AI the right way"—which considers fairness and equity from data collection through post-market surveillance. Mark shares fascinating insights about their global deployment challenges, future applications beyond eye disease, and how they successfully navigated the complex landscapes of FDA clearance and insurance reimbursement. Perhaps most compelling is their vision for AI's role in healthcare: not replacing physicians, but freeing them to focus on what matters most. "Our goal is to help doctors spend more time with patients, not less," Mark emphasizes. "The real value for the ophthalmologist is to sit there with the patient, talk to them, look at their eye, and explain what's going to happen—not sitting in the back office looking at a computer screen." Want to learn more about how AI is transforming healthcare access? Visit digitaldiagnostics.com or connect with them on LinkedIn to follow their journey. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Imagine a world where engineers no longer waste hours on mundane translation tasks after designing a product. That's exactly what Ross Meyercord, CEO of Propel Software, is helping create through cloud-native solutions that are revolutionizing manufacturing. Manufacturing software has been built on the same stack for 30-40 years, but Propel's cloud approach creates what Ross calls "almost an unfair advantage" - they can deploy innovations before competitors even finish planning. This speed is powering real-world AI applications that solve tangible problems for engineers and product developers. Most engineers feel their job is done once they've created a CAD file, but the rest of the company can't work with that format. Propel's AI agents now automatically handle part numbering, bill of material structuring, and change order analysis, freeing up valuable engineering time. For highly-compensated professionals, these time savings translate directly to bottom-line benefits. The transformation extends beyond design efficiency. By building on the Salesforce platform, Propel creates a closed-loop system connecting product data with real-world performance metrics. When quality issues arise, manufacturers can quickly trace problems to specific factories, revisions, or serial numbers. This visibility accelerates fixes and improves future designs. Despite these advances, many manufacturers still struggle with digital transformation. The majority of manufacturing data remains trapped in on-premises systems, making AI implementation challenging. Moving to the cloud is just the first step – companies must then ensure data quality and integration to realize the full benefits. As Ross advises, manufacturers should start by assessing what data truly matters before selecting a modern platform that can leverage emerging AI capabilities. Ready to transform your manufacturing processes with AI? Visit Propel in Redwood City, California to see firsthand how cloud-native solutions are creating the future of product development. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com The evolution of Python from scientific computing tool to AI powerhouse forms the fascinating backdrop of our conversation with Peter Wang from Anaconda. What began in 2012 as a bet that Python would transform business data analytics has blossomed into something far more profound, with Anaconda now at the forefront of enterprise AI implementation. Peter shares the origin story of Anaconda, founded when he and co-founder recognized that Python's scientific tools were ready to cross into mainstream business applications. While they correctly predicted Python would become essential for data science and machine learning, they couldn't have foreseen how it would eventually power today's AI revolution through transformers and diffusion models. The conversation explores Anaconda's new AI platform, which bridges the gap between practitioner freedom and enterprise governance. This balance is increasingly crucial as security threats against open source ecosystems grow more sophisticated and regulators demand greater accountability. For AI systems specifically, proper security isn't optional — it's fundamental given their potential impact and vulnerability to attacks like prompt injection. We also examine how enterprise AI implementation has matured beyond chasing the latest techniques (from massive context windows to RAG to agentic workflows). Organizations now understand that successful deployment requires meticulous attention to evaluation frameworks and domain-specific considerations. As Peter notes, "There's an easy mode to deceiving yourself that you're doing something interesting. To do actually something correct is not going to be an easy mode." The discussion concludes with a compelling argument that while closed source AI models may currently dominate headlines, the fundamentals of AI technology point toward an inevitable shift to greater transparency. With AI increasingly embedded in critical systems from healthcare to autonomous vehicles, the need for accountability will drive adoption of more open approaches that can demonstrate safety and establish clear liability chains. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The analyst world has long been dominated by commercial giants with rigid publishing schedules and predetermined agendas, but FourCasters is breaking that mold. This groundbreaking platform, launched in March 2023, provides independent analysts and boutique firms a dedicated space to share their unfiltered, future-focused insights without commercial constraints. Roberta Gamble, drawing on her impressive 25-year tenure at Frost Sullivan, explains that FourCasters fills a critical void in the B2B technology landscape. While LinkedIn and personal websites serve their purpose, independent voices often lack visibility despite their deep expertise. Four Casters solves this by creating a professional, curated environment where forward-thinking content can thrive without pushing product recommendations or sponsor-driven narratives. The platform's name—FourCasters—reflects its multidimensional approach to content through focus, region, industry, and analyst perspective. Content spans diverse timeframes, from immediate forecasts to long-term predictions addressing challenges like the approaching "2038 problem" (a Y2K-like issue many organizations are underprepared for). Quality remains paramount, with an editorial board ensuring all submissions maintain professional standards while staying future-oriented. What truly distinguishes FourCasters is its commitment to authentic human insight in an increasingly AI-saturated content environment. As Gamble notes, the platform prioritizes genuine expertise over the volume-for-volume's sake approach that plagues both technology solutions and marketing content today. Currently strong in enterprise communications and cybersecurity, Four Casters plans to expand into healthcare and financial technologies while enhancing its multimedia capabilities. Curious about where B2B technology is heading? Explore Four Casters to discover authentic, forward-thinking perspectives from the independent analysts who are reshaping how we understand and prepare for our technological future. Their unfiltered insights might be exactly what your organization needs to navigate tomorrow's challenges. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The race to develop life-saving medications has always been constrained by time, cost, and the challenge of gathering enough patient data. But what if we could create AI-powered replicas of trial participants that accurately predict how they would respond to treatment? Chief Executive Officer Steve Herne from Unlearn.AI joins us to reveal how digital twins technology is revolutionizing clinical trials by creating virtual patient forecasts that run alongside actual participants. This breakthrough approach enables researchers to compare observed versus predicted outcomes, dramatically reducing statistical noise and allowing true treatment signals to emerge more clearly. The results are nothing short of remarkable—Alzheimer's trials with 33% smaller sample sizes while boosting statistical power by 10%, Parkinson's disease studies completed nearly 10 months faster than traditional methods, and rare disease research accelerated by months rather than years. We dive deep into how regulatory bodies like the FDA are adapting to this AI revolution, with new frameworks ensuring these approaches meet rigorous scientific standards. Steve shares fascinating insights into how pharmaceutical companies are transitioning from reluctance to enthusiasm, increasingly reaching out to Unlearnat the earliest stages of protocol development. The vision? Making digital twins standard practice across all therapeutic areas, accelerating the "miracle of medicine" to patients worldwide. Whether you're a healthcare professional, technology enthusiast, or simply curious about how AI is transforming medicine, this episode offers a fascinating glimpse into a future where digital innovation and clinical research converge to create better outcomes for patients. Subscribe now and join the conversation about technology's profound impact on healthcare's most challenging problems. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Cybersecurity for business-critical applications represents one of the most significant blind spots in enterprise security today. As Mariano Nunez, CEO and co-founder of Onapsis reveals, sophisticated attackers are now targeting the crown jewels of organizations – their SAP, Oracle, and other mission-critical systems – with unprecedented success. What makes these attacks particularly alarming is how they bypass traditional security controls. While most organizations focus on user access controls and segregation of duties, today's threat actors exploit vulnerabilities at the application layer without requiring any user credentials. As Mariano explains, "Attackers are exploiting and attacking the systems even without a user to begin with. It's a different paradigm." This fundamental shift coincides with the migration of formerly protected internal systems to cloud environments where they're increasingly exposed to external interfaces, AI integrations, and new business models. The most sobering revelation comes from Mariano's disclosure of an unprecedented cyber campaign that began in January 2023. Chinese threat actors developed zero-day exploits for SAP systems, silently compromising hundreds of organizations worldwide, including critical infrastructure and government entities. Even after patches were released, many organizations found themselves in a troubling position: "It's almost as if you would unlock your front door and change the front door lock, but the thief is already in the basement." This represents the worst attack campaign against business applications in 15 years, highlighting the urgent need for specialized security approaches. Onapsis differentiates itself by providing purpose-built protection for these critical systems, working in close partnership with vendors like SAP and Oracle while helping security teams manage risk even when immediate patching isn't possible due to downtime constraints. For organizations navigating digital transformation, the message is clear: generic security tools provide a dangerous false sense of security when it comes to your most valuable business applications. Want to learn how your organization can protect its business-critical applications from sophisticated attacks? Listen to the full conversation and discover why traditional security approaches are failing to address these emerging threats. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com What happens when artificial intelligence meets higher education? The answer might surprise you. It's not just about new technology—it's about a complete cultural transformation. Professor Angela Virtu from American University's Kogod School of Business reveals how their Institute for Applied Artificial Intelligence is reimagining business education from the ground up. Their revolutionary approach? Infusing AI into every single course while simultaneously strengthening the human skills that machines struggle to replicate. "Knowledge has become a commodity," she explains. "The differentiator now is critical thinking and communication." The university's strategy goes beyond simply teaching students to use AI tools. They've created a community-driven learning environment where faculty receive extensive training first—bringing in industry experts to show professors exactly how AI is transforming their respective fields. This "train the trainer" approach has been crucial for faculty buy-in, especially when redesigning courses they may have taught for decades. As entry-level jobs disappear and middle management structures face potential collapse, American University is preparing students for a radically different professional landscape. Their focus remains on developing capabilities that AI currently struggles with: handling ambiguity, navigating chaos, and facilitating cross-functional collaboration. While many universities still debate whether AI use constitutes cheating, American University has moved forward with partnerships like Perplexity that give every business student access to enterprise-level AI tools. Want to understand how education is evolving in the age of artificial intelligence? This conversation provides a fascinating glimpse into the future of learning—where the most valuable skills might not be what you expect. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Experian's dramatic evolution from traditional credit bureau to technology innovator takes center stage in this fascinating conversation with Kathleen Peters Chief Innovation Officer who leads Experian's Innovation Lab. She reveals how the 15-year-old lab has become the beating heart of technological advancement at the company, bringing together PhD-level scientists, engineers, and data experts to tackle the financial industry's most challenging problems. The discussion unveils Experian's surprisingly deep history with artificial intelligence – their teams have been developing machine learning models and neural networks for over a decade, long before generative AI captured public attention. This foundation gave them a significant advantage when implementing cutting-edge solutions like their Experian Assistant, an agentic AI tool that can autonomously complete complex tasks for business users without requiring specialized data science knowledge. What makes Experian's approach particularly noteworthy is their dual commitment to pushing technological boundaries while maintaining rigorous data protection standards. As Kathleen explains, being responsible stewards of sensitive consumer information is embedded in the company's DNA. Their AI Risk Council and dedicated compliance frameworks ensure innovations remain ethical and unbiased, especially crucial when developing credit risk assessment tools that impact consumers' financial lives. Looking toward the future, Kathleen shares exciting developments in human-AI collaboration, energy-efficient computing approaches, and even quantum computing research that could revolutionize encryption technology. The conversation challenges the common misconception that established financial companies can't lead in technological innovation – Experian proves legacy organizations can transform themselves into digital pioneers while leveraging their unique data assets and global reach. Curious about how AI is reshaping financial services or how established companies can successfully navigate digital transformation? This episode provides invaluable insights from one of the companies at the forefront of this revolution. Subscribe now to hear more conversations with technology leaders who are building tomorrow's financial ecosystem. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com What if your meetings could remember everything so you don't have to? That's the promise behind Granola AI, the innovative note-taking tool designed to augment human capabilities rather than replace them. In this revealing conversation with founder Christopher Pedregal, we explore how Granola differentiates itself in the crowded AI productivity space by focusing on what truly matters - fitting seamlessly into users' workflows and addressing the small "paper cuts" that plague our daily meeting routines. Unlike other solutions that deploy bots to meetings (creating what Chris calls an "uncanny valley" effect), Granola uses your device's microphone to work consistently across all meeting formats without storing potentially sensitive audio or video recordings. The philosophy behind Granola stands apart in today's AI ecosystem. Chris articulates two competing visions for AI products: those that replace human capabilities versus those that augment them. Granola firmly commits to the augmentation path, giving users what he calls a "steering wheel for AI" - meaningful control over how the technology serves them. This approach recognizes that outsourcing busy work is valuable, but outsourcing thinking itself leads down a problematic path. Most fascinating is Granola's evolution beyond mere note-taking. With their 2.0 release introducing team features, Granola is positioning itself as a comprehensive AI-powered workspace that understands your context and helps you work more effectively. As Chris explains, this puts them on a trajectory to compete not with other note-takers but with foundational AI providers like Anthropic and OpenAI. For anyone interested in how AI is transforming productivity tools or entrepreneurs looking to build in this space, this conversation offers invaluable insights from someone at the forefront of reimagining how we work. Ready to let AI remember your meetings so you can focus on what truly matters? Granola might just be your answer. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com "AI is an enabler, an augmenter, not a replacement." These words from Navneet Singh, a marketing leader at Palo Alto Networks with nearly a decade of experience, set the tone for our exploration into the transformative relationship between artificial intelligence and marketing. During our conversation, Nav shattered common misconceptions about AI's role in marketing by demonstrating how human creativity and AI efficiency can form a powerful partnership. He shared a compelling example from Palo Alto Networks' recent product launch, where an AI-powered contest among product marketers generated 56 creative entries in a single weekend - compressing what would have been weeks of agency work into just one business day. This force-multiplier effect showcases AI's true potential when guided by human expertise and strategic vision. What makes Nav's perspective particularly valuable is his practical approach to AI adoption. He described how Palo Alto Networks created an "AI-first" culture through leadership summits, expert consultations, and establishing clear guidelines for responsible use. The company developed internal tools like Panda AI for employee assistance while implementing Google Gemini and Flow for marketing content creation - all supported by a balanced system of education and technological guardrails. But perhaps his most powerful insight was a simple question he's instilled in his team: "Every time your hands are on the keyboard, ask yourself why this shouldn't be done by AI." Looking toward the future, Nav envisions marketing shifting from targeting segments to personalizing for individuals at unprecedented scale, with company websites transforming into AI-driven digital storefronts handling the entire customer journey. For those concerned about their marketing careers in an AI world, his message is clear: don't fear replacement - embrace experimentation. The greatest opportunities belong to those who view AI as a collaborative partner rather than a threat. Ready to transform your marketing approach with artificial intelligence? Subscribe now and join us on this journey into marketing's AI-powered future. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The technology in your pocket—sensors in your everyday smartphone—is quietly revolutionizing road safety in ways most of us never realize. In this eye-opening conversation, MIT professor Hari Balakrishnan shares the remarkable journey of Cambridge Mobile Telematics (CMT) from university research project to global safety leader. What began as a simple idea to use mobile device sensors to measure driving quality has evolved into technology that's prevented over 90,000 crashes and saved 50,000 lives worldwide. Balakrishnan reveals how CMT's DriveWell platform fuses data from phones, windshield-mounted tags, connected vehicles, and dash cams to create a comprehensive picture of driving behavior that's transforming the insurance industry. The implications are profound. For the first time in insurance history, companies can price policies based on how people actually drive rather than demographic assumptions. Young drivers no longer automatically face punishing premiums—they can earn discounts through demonstrably safe driving. This creates a virtuous cycle where better driving leads to lower costs, fewer crashes, and ultimately, lives saved. Perhaps most fascinating is CMT's breakthrough in real-time crash detection—something once deemed impossible using only smartphone sensors. Unlike solutions that focus only on catastrophic accidents, CMT's technology works across all crash severities, providing immediate assistance when needed most. Looking toward the future, Balakrishnan shares his vision of data-driven road infrastructure improvements and the gradual integration of autonomous vehicles. All while maintaining a refreshingly human-centered approach to privacy: "Don't do anything with the data that you wouldn't want done with your own." If you're interested in how technology can create safer roads while giving people more control over their driving costs and safety, this episode offers an inspiring glimpse into that future—one that's already arriving on roads worldwide. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Trust remains the central challenge for enterprise AI adoption, as revealed in ModelOp's comprehensive AI Governance benchmark report. CTO Jim Olsen explains why so many generative AI projects remain stuck in development limbo, with 56% taking 16-18 months to reach production. The disconnect stems from AI's non-deterministic nature - unlike traditional software, models can't be fully predicted or verified in the same ways. "One bad recommendation is harder to overcome than a thousand correct ones," Olsen notes, highlighting how organizations struggle to build confidence in systems that sound convincingly authentic even when delivering incorrect information. This challenge becomes particularly acute in regulated industries where the stakes are highest. Financial services companies have developed the most mature governance practices out of necessity, having faced multi-billion dollar fines for improper model management. However, healthcare faces even greater complexity with "life or death" decisions and patchwork regulations across different jurisdictions. In both cases, fragmentation within enterprises compounds governance challenges, with different teams pursuing siloed approaches that prevent organizations from learning collectively. ModelOp addresses these challenges through centralized model lifecycle management that provides visibility, consistency, and automated governance. Their "minimal viable governance" approach enables organizations to start with essential controls and iterate, rather than waiting for perfect solutions. As AI evolves toward autonomous agents with decision-making authority, governance becomes even more critical. Ready to accelerate your AI implementation without compromising on trust or compliance? Discover how leading organizations are cutting deployment times in half while building stronger governance foundations. The key isn't waiting for perfect solutions, but starting the governance journey now before complexity overwhelms your AI initiatives. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Cloud security is facing a fundamental paradigm shift that most organizations haven't fully recognized. According to Aviatrix CEO Doug Merritt, we're overlooking a staggering 50-80% of our attack surface by failing to properly secure cloud workload communications. The problem stems from three critical changes in how computing works today. First, the internet has essentially become our enterprise network – when your application calls an S3 bucket, that communication happens over the internet, not a controlled private network. Second, the traditional security perimeter hasn't disappeared; it's atomized from a handful of entry points to thousands or even hundreds of thousands of mini-perimeters. Every VPC, Kubernetes cluster, and API endpoint now requires its own security strategy. Third, modern workloads are largely ephemeral rather than long-lived, making them harder to secure with traditional approaches. This security challenge is further complicated by multi-cloud environments, where security policies must consistently follow workloads across cloud boundaries. Meanwhile, the rise of generative AI creates both defensive opportunities and heightened risks, as attackers leverage these same technologies to map enterprise environments and find vulnerabilities with unprecedented speed and effectiveness. As Merritt explains, "Attackers think in graphs" – constructing comprehensive maps of your organization's resources to identify any possible entry point. The solution requires a paradigm shift in how we approach cloud security. Aviatrix advocates for a "cloud native security fabric" built on zero trust principles specifically designed for cloud workloads. This approach focuses on four critical elements: controlling egress to prevent command-and-control communications, implementing east-west macro-segmentation to block lateral movement, applying micro-segmentation for granular control, and ensuring comprehensive encryption to protect data even if network infrastructure is compromised. Ready to rethink your cloud security approach? Discover how zero trust principles can be applied to your cloud workloads to close critical security gaps and protect your most valuable digital assets. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com The quiet revolution happening in enterprise AI isn't about flashy robots or sci-fi scenarios—it's about solving a $200 billion problem hiding in plain sight. Outdated, manual data pipelines are costing businesses astronomical amounts and keeping your smartest people stuck doing digital busywork. Emergence AI's CRAFT platform stands at the forefront of this revolution with its "agents creating agents" approach. The concept sounds deceptively simple: AI systems that can dynamically create specialized AI tools to handle specific tasks. But the implications are profound. Data scientists spend up to 90% of their time wrangling data rather than analyzing it. CRAFT flips that equation, cutting analysis time from days to minutes through intelligent automation that requires only natural language commands. What makes this particularly powerful is CARFT's self-improvement capabilities. The platform continuously learns through three dimensions: knowledge acquisition (gaining domain expertise), skill acquisition (optimizing workflows), and agent acquisition (building new capabilities). Like a new employee gaining experience, the system becomes increasingly valuable over time, adapting specifically to your business context. Real-world results already demonstrate the impact. Semiconductor manufacturers using CARFT identify yield issues in minutes instead of days, potentially saving millions weekly. Telecommunications companies report 70% reductions in data governance tasks. An online forum reduced unsafe image postings by 60 million monthly. The platform balances this power with built-in governance features, ensuring human oversight remains for critical decisions while shifting roles toward strategic direction rather than execution. Available now in private preview and launching broadly this summer, CARFT represents a fundamental shift in how enterprises handle data. The question isn't whether AI will transform your business operations—it's whether you'll be among the first to capitalize on this transformation or watch competitors race ahead while you're still stuck with yesterday's manual workflows. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com From cutting-edge experimentation to business-critical infrastructure, the AI landscape has undergone a dramatic transformation. Ron from KungFu.ai shares an insider's perspective on this evolution, drawing from his experience dating back to AI research in the 1990s. The conversation reveals the pivotal factors driving AI's enterprise breakthrough: exponentially increased computing power, unprecedented data availability, and the democratizing effect of open-source libraries. These elements have converged to create capabilities early researchers could scarcely imagine, requiring millions of times more resources than initially anticipated. What distinguishes KungFu's approach is their unwavering focus on production-grade AI systems that deliver tangible business value rather than impressive but unreliable demos. Ron shares a striking success story of a financial services client whose AI implementation reduced loan decisioning time from 48 hours to just 9 seconds while simultaneously reducing fraud rates – all without eliminating human jobs but rather redirecting human attention to the complex cases requiring judgment. The discussion tackles the profound challenges enterprises face during implementation. AI systems differ fundamentally from traditional software in their probabilistic nature, making human-like mistakes that can be difficult to predict or debug. Data quality emerges as the critical determinant of success – "garbage in, garbage out" applies more powerfully to AI than to any previous technology. Ethical considerations, especially regarding bias and explainability in regulated environments, demand sophisticated approaches that go far beyond typical software development concerns. Looking ahead, Ron provides a sobering yet optimistic assessment of agentic AI systems, suggesting that failure rates may exceed Gartner's 40% prediction while maintaining that these technologies will ultimately revolutionize business faster than most anticipate. For companies navigating this complex landscape, the talent equation remains daunting – building effective AI systems requires a blend of mathematical expertise, domain knowledge, and hard-won intuition that remains in critically short supply. Ready to transform your business with AI that delivers real results rather than just impressive demos? Connect with Ron at ronallen@kungfuai.com or explore their "Hidden Layers" podcast for deeper technical insights into the future of enterprise AI. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com What if you never had to share your social security number or personal details again? What if there was a way to verify your identity and background just once, then reuse that credential securely for life? Trust might be the new digital currency, and Trua is building the exchange. The digital world demands proof of who we are at every turn, but our current verification systems create massive security risks. Each time we provide our personal information for a background check, membership sign-up, or service enrollment, we're creating another vulnerable data honeypot. With data breaches costing companies an average of $4.5 million and affecting millions of consumers, it's clear our approach to identity verification is fundamentally broken. Raj Ananthanpillai Founder & CEO shares his vision for a revolutionary Trust Bureau that gives individuals agency over their personal data while providing high-assurance verification to businesses and organizations. Drawing inspiration from post-9/11 security initiatives and addressing the shortcomings of using Social Security Numbers as universal identifiers, Trua has developed a blockchain-based system that could eliminate 70-80% of data breaches by preventing unnecessary PII proliferation. The implications are enormous. From streamlining pre-employment screening and preventing North Korean infiltration of tech companies to simplifying verification for gig economy workers, Trua's approach puts individuals at the center of the verification process while reducing regulatory burden and security costs for businesses. By tokenizing identity attributes and using zero-knowledge proofs, verification can happen without exposing underlying personal data. Ready to reclaim ownership of your digital identity? Discover how trust is becoming the new digital currency, and why the future of verification might look a lot like having a mobile driver's license in your digital wallet—secure, user-controlled, and universally accepted. Support the show More at https://linktr.ee/EvanKirstel…
Interested in being a guest? Email us at admin@evankirstel.com Dr. Kapoor takes us on a fascinating journey from the COVID pandemic's testing challenges to his groundbreaking work at BioAero, where AI meets genomics to revolutionize healthcare delivery. What began as an effort to speed up COVID test results evolved into a mission to solve a critical healthcare bottleneck: the months-long wait for genomic sequencing data that makes personalized medicine nearly impossible to deliver at the point of care. "There's a secret key all of us are born with—a blueprint of our life," Dr. Kapoor explains, describing how our genetic code holds crucial information about disease risks and medication responses that remain largely untapped in current medical practice. The implications are staggering: many patients receive medications that won't work for their genetic makeup, suffering unnecessary side effects while missing potential benefits from treatments better suited to their unique biology. The conversation explores how healthcare is evolving from its traditional reactive model toward "Healthcare 3.0"—where imaging, blood tests, and genomics create a comprehensive picture of a patient's health, enabling truly personalized treatment plans. Dr. Kapoor illustrates this with compelling examples: every seventh person doesn't respond to aspirin after a heart attack, many Asians experience side effects from high-dose statins, and diet recommendations like "Mediterranean diet" may benefit some genetic profiles more than others. With BioAero's technology, doctors can move beyond population-based averages to treatments tailored for individual genetic makeup. Beyond clinical applications, Dr. Kapoor shares his vision for decentralized health data that empowers patients to control their own information, potentially transforming clinical trials by making them more inclusive of diverse populations. Looking ahead, he predicts healthcare increasingly delivered at home, with less reliance on hospitals except for acute care and special procedures. Countries worldwide are already implementing nationwide genomic programs, recognizing that the future of medicine lies in understanding and applying the genetic blueprint we all carry. Want to explore your own genetic makeup? Visit BioAero's website to access a range of testing services, from gut microbiome analysis to whole genome sequencing—all delivered with a commitment to privacy and personalized healthcare that truly works for you. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Every chip in every device around you has at least one identity associated with it. Machine identities now outnumber human ones online. AI can replicate your face and voice with frightening accuracy. Welcome to the brave new world of identity security. Jeff Reich, Executive Director of the Identity Defined Security Alliance (IDSA), brings over 45 years of security experience to this fascinating discussion about why identity has become ground zero in today's cybersecurity battles. The perimeter has shifted dramatically — from physical computer rooms to worldwide networks, and now to every connected device. With this expansion, traditional approaches to security have become dangerously inadequate. Through vendor-neutral research and collaboration, IDSA is addressing critical gaps in our identity security practices. Their findings are sobering: 98% of organizations experienced identity-related security incidents. While most organizations have implemented basic protections like strong passwords, sophisticated threats like ransomware, identity theft, and deepfakes continue to evolve faster than our defenses. Reich offers practical wisdom for security leaders navigating this landscape. He distinguishes between mere compliance and actual security, noting that "every major credit card breach occurred at organizations that were PCI compliant until the moment the breach occurred." For overwhelmed CISOs, he suggests focusing on communicating in executive language rather than technical terms, and accepting that sometimes the role functions as "Chief Scapegoat Officer" — concentrating on doing what's right rather than just protecting one's position. As technology advances faster than our ability to adapt to it, non-human identities and AI-driven threats will dominate security concerns in the coming months. Organizations must look beyond checkbox compliance toward substantive, thoughtful approaches to identity security that can withstand the complex threats of tomorrow's digital landscape. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Unified visibility has transformed from a luxury into a business-critical imperative for enterprises navigating today's complex IT landscape. In this revealing conversation with Sunitha Rao, who leads Hitachi Vantara's hybrid cloud business unit, we explore why this shift has occurred and how their newly launched VSP360 platform delivers game-changing capabilities. The driving forces behind unified visibility's rise are compelling - AI's acceleration, evolving regulatory landscapes across regions, and the pressing need for financial agility as we approach 2025. Organizations struggling with fragmented visibility across hybrid environments can no longer afford the inefficiencies of siloed approaches. As Sunitha explains, "You really have the AI that's allowing you to have data insights that are explainable, that allow you to give a cross-domain visibility across the board." VSP360's visibility-driven architecture represents a fundamental rethinking of enterprise storage management. Rather than bolting on capabilities, Hitachi has built a unified control plane that provides intelligent insights through what Sunitha calls a "single pane of smart glass." The platform leverages AI-powered observability to deliver real-time performance telemetry, predictive analytics, and automated recommendations that help organizations optimize their entire storage fleet - whether on-premises, in the cloud, or at the edge. Perhaps most impressive is how VSP360 addresses the ever-present challenge of shadow IT and cloud sprawl. Through comprehensive visibility and AI-driven recommendations, organizations gain the ability to detect idle resources, misaligned storage tiers, and potential cost optimizations. One beta customer reported freeing up 60% of their IT team's efforts by leveraging these capabilities - allowing valuable technical talent to focus on high-value strategic initiatives rather than routine management tasks. For CIOs embarking on this journey toward unified visibility, Sunita offers practical advice: start by acknowledging fragmentation as both a technical and business requirement, conduct a comprehensive asset assessment, and seek platforms that provide unified control with built-in governance. As she notes, "Your visibility is basically building efficiency, and efficiency is basically building you to transform the way you manage your data environments." Curious about how unified visibility could transform your organization's approach to data management? Explore how Hitachi's visibility-driven architecture might help you gain control of your diverse IT landscape while preparing for the AI-driven future. Support the show More at https://linktr.ee/EvanKirstel…
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Interested in being a guest? Email us at admin@evankirstel.com Telecom procurement has remained stubbornly rooted in spreadsheets, emails, and manual workflows – even as enterprises spend millions on critical network infrastructure. But what happens when modern AI technology meets this arcane industry? Dennis Thankachan founder and CEO of Lightyear, takes us on a fascinating journey from hedge fund investing to building what he calls "the telecom operating system for the enterprise." After becoming obsessed with the telecom sector's untapped potential, Dennis discovered large companies were managing tens or hundreds of millions in annual telecom spend with painfully outdated tools and processes. This revelation sparked the creation of Lightyear – a platform that digitizes and automates the entire telecom lifecycle. The conversation explores how Lightyear's proprietary dataset, built from thousands of telecom RFPs, provides unprecedented visibility into market trends like bandwidth price inflation and the FCC-mandated replacement of traditional copper phone lines. We discuss the profound impact of AI on enterprise networking needs and management approaches, with Dennis revealing how Lightyear helps customers save over 20% on costs and 70% on time spent managing telecom services. What makes this discussion particularly valuable is the rare window it provides into an industry that touches everything yet remains mysterious to most. Whether you're managing enterprise infrastructure, interested in AI's practical business applications, or simply curious about how the digital backbone of commerce is evolving, you'll come away with fresh insights into telecom's hidden complexities and emerging solutions. Check out Lightyear's State of Connectivity 2025 report on their website to learn more about the trends shaping enterprise networking. Support the show More at https://linktr.ee/EvanKirstel…
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