PE Digital Playbook in the Crisis

Digital Value Creation

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محتوای ارائه شده توسط Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi 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

All About Change

1
Tiffany Yu — Smashing Stereotypes and Building a Disability-Inclusive World 30:23

16 روز پیش30:23

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

30:23

Tiffany Yu is the CEO & Founder of Diversability, an award-winning social enterprise to elevate disability pride; the Founder of the Awesome Foundation Disability Chapter, a monthly micro-grant that has awarded $92.5k to 93 disability projects in 11 countries; and the author of The Anti-Ableist Manifesto: Smashing Stereotypes, Forging Change, and Building a Disability-Inclusive World. As a person with visible and invisible disabilities stemming from a car crash, Tiffany has built a career on disability solidarity. Now that she has found success, she works to expand a network of people with disabilities and their allies to decrease stigmas around disability and create opportunities for disabled people in America. Episode Chapters 0:00 Intro 1:26 When do we choose to share our disability stories? 4:12 Jay’s disability story 8:35 Visible and invisible disabilities 13:10 What does an ally to the disability community look like? 16:34 NoBodyIsDisposable and 14(c) 21:26 How does Tiffany’s investment banking background shape her advocacy? 27:47 Goodbye and outro For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…

۵ سال پیش 4:37

MP3•خانه قسمت

In the last few weeks, I noticed that the private equity digital playbook is changing, What initiatives are given priority in a crisis?

When I started with private equity value creation it was 2009, the height of the last recession. This was the time when private equity firms got more hands on with their portfolio companies to help them through disruption. For most firms, this was the first time they formed an operating team focusing on cross-portfolio initiatives and hired their first IT operating partners. In my experience, PE firms always had an effective playbook for managing through business disruption and in 2009 they added some digital strategies to the mix. In those days it was spend analytics and e-sourcing to help companies reduce cost and maverick spend. It was also the time firms started using sales analytics and e-commerce as core elements of a crisis management playbook.

88 قسمت

#Tech #Tamas Hevizi

PE Digital Playbook in the Crisis

Digital Value Creation

published ۵ سال پیش

اشتراک گذاری

MP3•خانه قسمت

In the last few weeks, I noticed that the private equity digital playbook is changing, What initiatives are given priority in a crisis?

88 قسمت

#Tech #Tamas Hevizi

Toate episoadele

1
Ep106 - Working with AI Agents 25:52

14 weeks پیش25:52

25:52

In this episode, Tamas and Arpad explore the concept of AI agents, defining their characteristics and discussing the implications of their autonomy in various contexts. They look into the complexities of integrating AI agents into existing workflows, the cultural shifts required for collaboration between humans and AI, and the current state of AI adoption in businesses. The conversation also touches on the trust issues surrounding AI agents and the expectations placed on them compared to human workers. The episode concludes with thoughts on the future of AI agents and their realistic potential to enhance productivity. TAKEAWAYS AI agents are defined by their autonomy and proactivity. The definition of AI agents varies widely across the industry. AI washing refers to mislabeling non-agentic systems as agents. Cultural implications arise when integrating AI agents into the workforce. Managing AI agents at scale presents unique challenges. Trust in AI agents is a growing concern among users. Expectations for AI performance are often higher than for humans. AI agents can potentially outperform humans in specific tasks. The current state of AI adoption is still in early stages. Future discussions will focus on specific use cases for AI agents. CHAPTERS 0:00 - Introduction to AI Agents 03:05 - Defining AI Agents 06:01 - The Complexity of Autonomous Agents 08:50 - Cultural and Ethical Implications of AI Agents 11:52 - Managing AI Agents at Scale 15:02 - Current State of AI Agent Adoption 18:03 - Trust and Expectations in AI Agents 21:01 - Closing Thoughts on AI Agents…

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15 weeks پیش26:48

26:48

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EP 104 - Future Proof Your Career in 2025 27:30

30 weeks پیش27:30

27:30

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Ep.103 - From AI Hype to Business Impact 22:12

31 weeks پیش22:12

22:12

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Ep. 102 - How we use AI 20:08

35 weeks پیش20:08

20:08

In this episode, we reflect on our journey with AI over the past year, sharing how we use AI in both our personal and professional lives. Broadcasting from the Bay Area this time, we explore practical, day-to-day applications of AI tools, discussing how we've evolved from experimenting to leveraging AI for true productivity gains. We share personal insights, like using Perplexity for deeper research, creating custom GPTs to better communicate with diverse work teams, and even translating a family novel with AI from Hungarian into an English audiobook for future generations. The conversation covers AI use cases across different tools—Claude, Gemini, GPT, and more—and includes practical tips for integrating AI into workflows while staying compliant with corporate policies. Tune in to hear about: The impact of voice interfaces and custom GPT personas on daily productivity. Lessons learned from hosting an AI innovation tournament with over 200 teams. Best practices for balancing AI-driven convenience with data security and compliance. Examples of using AI for translations, personalized research, and ideation across multiple business functions. Join us as we dive into real-world AI strategies and share insights on staying productive and focused in a rapidly changing tech landscape. As always, we want to hear your own daily AI applications in the comments!…

1
AI Fatigue 21:25

47 weeks پیش21:25

21:25

In this episode we dive into the growing phenomenon of AI fatigue, a sentiment increasingly felt by companies as they navigate the overwhelming number of AI technologies and startups in the market. We discuss the complexities of the AI gold rush, where massive investments and high expectations are met with varying degrees of success and skepticism. The conversation highlights the challenges buyers face in making informed decisions amidst the AI hype and the critical need for selecting the right use cases and vendors to drive real value. We also emphasize the importance of AI literacy and education within organizations to bridge the gap between potential and actual productivity gains. The episode further explores the economic implications of AI investments, particularly the significant role of AI hardware and chip makers, and the pressure on companies to justify the high costs associated with AI development. As we review strategies for surviving the AI hype cycle, we advocate for a use case-centric approach, urging companies to focus on real business problems rather than pursuing AI for the sake of it. We conclude by reflecting on the balance between innovation and process efficiency, encouraging you to be disciplined in their AI endeavors while remaining open to transformative ideas that could reshape their businesses.…

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Imagine 2024 - 3 Takeaways 8:13

1 year پیش8:13

8:13

🌟 Insights from IMAGINE 2024: Navigating the Realities of Gen-AI Implementations 🚀 In this episode, we share our learnings from a recent customer event in Austin, Texas, where we had the opportunity to connect with fellow executives and discuss the realities of Gen-AI implementations. 🤠 We explore three key takeaways from the event: To overcome the experimentation cycle, companies should pick a direction, identify an impactful area for their business, and experiment on the "how" rather than the "what." 🎯 We discuss the pros and cons of applying generative AI to core vs. non-core business areas, considering factors such as industry competition and potential disruption. 🧩 The conversation also touched on the potential game-changers in AI, with multimodal AI and agency being identified as critical for scaling up to enterprise-grade solutions. 🚀 Throughout the video, we emphasize the importance of continuous education in the rapidly evolving field of AI. As models and use cases keep advancing, it's crucial to maintain a modest and open-minded approach to learning. 📚 Join us in this engaging discussion as we navigate the exciting world of AI together! 💡 Don't forget to share your thoughts, reactions, and resources in the comments below. 📝 #IMAGINE2024 #AI #GenAI #BusinessStrategy #ContinuousLearning #AustinTX…

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AI Stories with Kuai Kuai 26:59

1 year پیش26:59

26:59

In this episode, we discuss the latest trends and insights in the AI space based on our recent experiences at various tech events. We start by sharing a fascinating Taiwanese tradition of using Kuai Kuai chips to ensure smooth operation of electronics. The conversation then moves to the impact of AI on corporate strategy, the shift towards smaller, more efficient AI models, and the current state of generative AI adoption in companies. We emphasize the growing importance of AI skills for job seekers and discuss how AI can be leveraged to upskill and accelerate impact. We also explore the rise of lightweight AI models and their significance in making AI more accessible globally. The challenges of trusting AI systems, including interpretability and tolerance for mistakes, are discussed, along with suggestions for creating a trusted AI workflow. The video concludes with a unique Kuai Kuai song composed using AI tools, showcasing the creative possibilities enabled by artificial intelligence. Chapter Headings: 00:00 - Introduction: AI Trends and Kuai Kuai Chips 00:35 - Kuai Kuai Chips: A Taiwanese Tradition for Smooth Tech Operation 03:19 - World Economic Forum: AI's Impact on Corporate Strategy 05:30 - Microsoft Build: Focus Shifts to Smaller, More Efficient AI Models 07:30 - Generative AI Adoption: Experimentation vs. Scaling 11:18 - The Importance of AI Skills for Job Seekers 14:00 - Upskill and Accelerate Impact - You can not be satisfied with ‘average’ 16:55 - AI on the Edge - Democratize access, lower energy cost, reduce environmental impact 19:18 - Challenges in Trusting AI: How to select ‘fault tolerant’ use cases and improve guardrails 24:40 - Conclusion and Kuai Kuai Song #AI #MachineLearning #TechTrends #Innovation #Upskilling #KwaiKwai References: BCG Study: https://www.bcg.com/publications/2024/from-potential-to-profit-with-genai Deloitte Study: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-report-q2.pdf Microsoft / LinkedIn Study: https://www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-part WSJ: https://www.wsj.com/articles/tech-job-seekers-without-ai-skills-face-a-new-reality-lower-salaries-and-fewer-roles-db63f6e0 Ethan Mollick’s Blog: https://www.oneusefulthing.org…

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AI Journey: Increase Impact Part 2 19:38

1 year پیش19:38

19:38

In our latest episode of Digital Value Creation, my brother and I continued our discussion on the personal AI journey from entertainment through education to efficiency and effectiveness. We started with a manifesto: don't roll your own large language model (LLM)! With over 500,000 open-source LLMs available, we believe most businesses don't have problems complex enough to require developing a brand new model from scratch. Instead, companies should invest their time and resources into fine-tuning existing models and optimizing prompts, search, and other parts of the AI pipeline. We emphasized that the real edge for businesses is figuring out how to integrate AI outputs into their unique workflows and processes through the use of agents. Rather than just talking to us, AI needs to actively help accomplish tasks and solve real business problems in an economical way. This requires carefully considering the cost-benefit tradeoffs in terms of compute resources, context window sizes, precision, and more. Usability and seamless integration are key - adding friction defeats the purpose of AI automation. We discussed the fast-moving legal landscape around AI and how some companies are proactively addressing it, such as Adobe training on licensed images. The battle between AI companies and content owners is quickly evolving into a licensing model. Finally, I shared results from a poll showing nearly 30% of respondents are already using AI for business effectiveness, with coding as the top use case. While there are open questions around IP protection, AI is proving valuable for internal code refactoring, testing, and documentation. Exciting new innovations like AI software agents show the potential for AI to resolve real-world coding issues at increasing rates. The AI journey is evolving rapidly, and we'll continue to discuss the latest developments. Please subscribe, like, and reach out with your own thoughts and experiences!…

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AI Journey - Increase Impact and Value 23:01

1 year پیش23:01

23:01

In this episode we explore the recent developments in Generative AI and the 4E Model of AI Mastery: Entertainment, Education, Efficiency, and Effectiveness. We discuss Microsoft's acquisition of Inflection's Pi chatbot, the monetization concerns surrounding AI systems, and the strategies employed by big tech companies like Microsoft, AWS, Google, and Adobe in the AI space. We also ‘delve into’ AI's impact on academia and how it is changing the way we use language, as evidenced by Professor Nicolai J. Foss analysis of word frequency changes in social media due to GPT. We highlight the growing popularity of smaller AI models and their performance improvements, such as Gemini Nano's integration in Samsung S24 for real-time language translation. The episode also covers the potential of Gen AI in media, with tools like Sora and Pico, and their impact on advertising, training videos, and the media industry. We discuss the advancements in voice generation, including ‘Eleven Labs' work in text-to-voice and voice-to-voice generation, and its various applications. Moving from the entertainment phase to education in AI mastery, we introduce Ethan Mollick's book "Co-Intelligence" and the importance of understanding AI tools as collaborators and partners. We also address the shift in academia from research to application and the need for educational institutions to evolve. Finally, we explore AI's impact on the job market, the rapid changes in skill requirements, and the importance of staying ahead by moving towards efficiency and effectiveness in AI mastery. Join us as we navigate the ever-evolving landscape of AI and learn how to harness its potential for digital value creation.…

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AI vs Talent - Insights from Wharton 18:39

1 year پیش18:39

18:39

This episode focuses on the insights gained from the inaugural Wharton Gen AI for Business Transformation course. We discuss a study conducted by Boston Consulting Group, which found that consultants with access to GPT-4 outperformed those without AI by 40% in terms of quality and efficiency. The study also revealed that AI serves as a performance leveler, enabling even the worst performers to match the performance of top consultants without AI. This finding has implications for talent sourcing and global competition. The episode also touches on the stages of AI adoption, referred to as the "4Es": entertainment, education, efficiency, and effectiveness. We emphasize the importance of moving beyond personal efficiency gains and focusing on driving business outcomes. The biggest challenge in scaling AI adoption is explainability, as the inherent creativity and randomness of AI models can lead to trust issues. We suggest adopting a portfolio approach, engaging teams in experimentation and education, and identifying one or two projects where AI can disrupt or replace major elements of the end-to-end process. The conversation concludes with a preview of future topics, such as AI agents and the move from content to action.…

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Emerging AI Event at LEAP2024 6:33

1 year پیش6:33

6:33

In this episode, we dive into the remarkable experiences and groundbreaking announcements from LEAP 2024 held in Riyadh, Saudi Arabia. With an overwhelming turnout of over 215,000 attendees and a staggering $13.4 billion in investments, the event showcased Saudi Arabia's ambitious drive to become a global digital leader. Underpinning this transformation is the Vision 2030 initiative, aimed at diversifying the economy beyond oil through significant investments in technology sectors, including AI, which is expected to contribute 15% to the GDP. Highlights include the government's substantial support in attracting tech giants like AWS, Cisco, Dell, IBM, and ServiceNow, who announced major projects like regional cloud services, data centers, and local manufacturing. The event also spotlighted local innovation, with significant investments in Saudi startups and the development of advanced technologies like Aramco's METABRAIN LLM. LEAP 2024 not only reflects Saudi Arabia's technological ambitions but also poses questions about the impact of such government-led initiatives in reshaping the global tech landscape.…

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AI Career Acceleration 20:58

1 year پیش20:58

20:58

Dive into the how AI can accelerate your career! In this episode, we explore the critical role of artificial intelligence in shaping careers and driving leadership in the digital era. Whether you're in tech, business, or any field in between, understanding and leveraging AI is no longer optional—it's essential for staying ahead. Discover why now is the pivotal moment to embrace AI, with insights from the World Economic Forum and leading experts. Learn about the resources available to jumpstart your AI journey, from free online courses offered by tech giants to advanced learning paths at top universities. 💡 We'll discuss the steps to not just learn about AI but to apply it in impactful ways, transforming businesses, drive growth and innovation. This episode is a call to action for aspiring AI leaders and anyone looking to harness the power of AI to enhance their career, drive business value, and lead with confidence in the age of digital transformation. Don't just watch the future unfold—be a part of shaping it with AI.…

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The Impact of AI on your Business- Real or Myth? 23:37

1 year پیش23:37

23:37

This episode discusses the impact of AI in business, focusing on its value creation, challenges, and the future of AI-driven enterprises. The hosts, who work for AI-focused companies, share insights on AI trends, business applications, careers, and leadership in AI-enabled workplaces. We explore topics such as code generation, the monetization of AI technologies, the role of large language models (LLMs), and the importance of AI in decision-making and automation. Additionally, we address the need for regulation, the potential of retrieval augmented generation (RAG), and the development of specialized LLMs for enterprise applications. The conversation also touches on the importance of reskilling and becoming a better AI leader.…

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Davos 2024 - First Impressions about the AI discussions 4:50

1 year پیش4:50

4:50

These are my first impressions from Davos 2024 around AI 1 - AI and GenAI is everywhere from LLMs to oil/gas to supply chains 2 - countries and companies taking risks will outperform those that are cautious 3 - Companies struggle to go beyond experimentation due to lack of prebuilt use cases and industry solutions by providers 4 - Trust is main concern. Who do you trust to hold your data? LLM providers? Hyperscalers? 5 - GenAI gets beyond content generation to autonomous process creation and management 6 - Who will benefit from GenAI the most? Companies? Chip makers? Hyperscalers? Is there real value creation or just a rent to the hyperscalers?…

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