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محتوای ارائه شده توسط Bob Evans. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Bob Evans 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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Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience working on Isomorphic Labs' and Google DeepMind's AlphaFold 3 — an AI model for predicting the structure of molecules — Jaderberg explains how this new technology frees up researchers' time and resources to better understand the real, messy world and tackle the next frontiers of science, medicine and more. Want to help shape TED's shows going forward? Fill out our survey ! For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Interested in learning more about upcoming TED events? Follow these links: TEDNext: ted.com/futureyou TEDAI Vienna: ted.com/ai-vienna Hosted on Acast. See acast.com/privacy for more information.…
How AI Agents Are Reshaping Enterprise Tech – Insights from Oracle, SAP, and More | Tinder on Customers
Manage episode 473436908 series 2536260
محتوای ارائه شده توسط Bob Evans. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Bob Evans 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
Episode 50 | AI Agents in Action
The Big Themes:
- The Rise of 'Agent Ratios': As companies roll out more AI agents, the "agent-to-human ratio" could become a useful AI maturity indicator. Currently, we’re seeing early adoption — with Oracle reporting that only 5–10% of its customers have put agents into production. These early use cases focus on low-risk, easily-automated tasks. It’s a cautious start, but the trajectory is upward. Bonnie points out that once the groundwork is laid, the pace of adoption will likely accelerate, yielding increased productivity.
- Four Smart Questions for Evaluating Enterprise AI Initiatives: To help customers decide whether to adopt AI capabilities, Bonnie offers four key questions: (1) Is it available to me? Not all customers have access to AI features; infrastructure matters. (2) Do I need or want it? Weigh the risk-reward tradeoff, especially in terms of time and internal resources. (3) Is my data protected? Ensure your vendor offers strong governance and compliance support. (4) What is the time to value?
- Knowing When to Leap and When to Wait on AI Adoption: Should companies wait or dive into AI now? Her advice: it depends. If your organization is in a fast-moving, innovation-driven sector, early adoption is essential to stay competitive. Waiting could mean falling behind. But for highly regulated industries or companies unused to rapid tech change, a cautious approach makes sense.
Visit Cloud Wars for more.
494 قسمت
Manage episode 473436908 series 2536260
محتوای ارائه شده توسط Bob Evans. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Bob Evans 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
Episode 50 | AI Agents in Action
The Big Themes:
- The Rise of 'Agent Ratios': As companies roll out more AI agents, the "agent-to-human ratio" could become a useful AI maturity indicator. Currently, we’re seeing early adoption — with Oracle reporting that only 5–10% of its customers have put agents into production. These early use cases focus on low-risk, easily-automated tasks. It’s a cautious start, but the trajectory is upward. Bonnie points out that once the groundwork is laid, the pace of adoption will likely accelerate, yielding increased productivity.
- Four Smart Questions for Evaluating Enterprise AI Initiatives: To help customers decide whether to adopt AI capabilities, Bonnie offers four key questions: (1) Is it available to me? Not all customers have access to AI features; infrastructure matters. (2) Do I need or want it? Weigh the risk-reward tradeoff, especially in terms of time and internal resources. (3) Is my data protected? Ensure your vendor offers strong governance and compliance support. (4) What is the time to value?
- Knowing When to Leap and When to Wait on AI Adoption: Should companies wait or dive into AI now? Her advice: it depends. If your organization is in a fast-moving, innovation-driven sector, early adoption is essential to stay competitive. Waiting could mean falling behind. But for highly regulated industries or companies unused to rapid tech change, a cautious approach makes sense.
Visit Cloud Wars for more.
494 قسمت
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×closely with the U.K. government, which feels it's got a lot of "ball-and-chain technology" hampering the ability of its employees but also governments themselves to move into the future and deliver greater service to their constituents. It is looking to cut expenses via modern technology by up to $50 billion, and it's enlisted Google Cloud's help to do that. 01:25 — At the Imperial War Museum, it's undertaken a project to use AI and cloud technologies to preserve 20,000 hours of oral conversations with 8,000 different individuals who took part in various conflicts from World War II up to the present time. 02:16 — The Imperial War Museum's Head of Transformation said: if we were doing this manually, it would take 22 years. He said, with the solution that Google Cloud and Capgemini are proposing, it should take about one month. 03:00 — The third customer there is Morrisons supermarkets. So, a new offering from Morrisons that they built with Google Cloud, called "Product Finder"—pretty simple concept—but it helps customers find and get to the products they want and need in stores or online almost instantly. 04:06 — But I think each touches on this notion that you could say these address efficiency and productivity issues. But they also, by doing so with modern technology, connect directly to new opportunities—right? You want to excite and delight these customers, so they want to come back. They know they had a good experience. They're going to come back. Spend more. Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I explore Amazon’s massive new AI infrastructure project, Project Rainier, built for Anthropic and the largest-ever deployment of Trainium2 chips by Annapurna Labs. Highlights 00:03 — AWS is building a colossal supercomputing cluster for Anthropic, a company that has received a total of $8 billion in backing from Amazon. Project Rainier is spread across multiple U.S. sites and uses hundreds of thousands of Annapurna Labs Trainium2 accelerators, and is set to launch later this year. One site alone, in Indiana, will feature 30 200,000-square-foot data centers . 00:36 — Gadi Hutt, Director of Product and Customer Engineering at Annapurna Labs, said the following: "This is the first time we're building such a large-scale training cluster that will allow a customer — in this case, Anthropic — to train a single model across all of that infrastructure." 01:26 — Now it's in direct competition with OpenAI , the only other company with comparable compute and training capabilities. This marks a major milestone in the escalating AI arms race, and by proxy, could be a big win for Amazon. Visit Cloud Wars for more.…
In today's Cloud Wars Minute, I analyze the recent Microsoft layoffs. Highlights 00:14 — It's an ugly part of the free-market capitalism world, but what is inevitable in some ways — is layoffs. In the first six months of this year, Microsoft has laid off 15,000 people. I think we need to look at this as part of the new normal. It's an unfortunate consequence of the AI revolution and the incredible benefits and growth that it’s going to drive. 01:08 — I think we've seen a lot of people say, “Oh, here it comes, AI is displacing people.” These big companies are going to try to cut costs. They’re trying to reduce expenses. I think here, the focus isn’t on cutting costs, saving money, and dumping people, but rather on: Can we be prepared as quickly as possible for a very, very different future? 02:12 — And that’s what this AI revolution is going to bring. I think Nadella is trying very hard here to ensure that they’ve got their entire workforce aligned on growth opportunities for the future and all the changes that the AI revolution is going to bring to Microsoft’s customers, rather than, you know, piddling around with, “How do we save a couple bucks here and there?” 03:03 — Every process is ultimately going to be affected by this. It’s going to change how companies think, how they work, how they operate, what their processes are, how they grow, how they make money. Any company that wants to stay in business is going to realign its workforce to match up with those new opportunities. That’s what I believe Microsoft is doing. 04:27 — I think we’re going to see that across every industry, every region of the world. One of the outcomes is that we’ll see some people moved around to new opportunities inside companies, but we’re also going to see some people let go because they either don’t have the backgrounds, the mindset, or whatever it might be, to match up with what their businesses need. Visit Cloud Wars for more.…
In today's Cloud Wars Minute, I take a look at what the Oracle-AWS collaboration means for the future of multi-cloud innovation and customer value. Highlights 00:22 — I think we can say now there’s romance in the cloud. Oracle and AWS are doing things in a collaborative way that they've never done before. The customers are swooning over this cloud romance. This is all built around the Oracle Database @AWS, part of a multi-cloud deal. 01:09 — This inclusion now, in addition to the heavy competition, also some collaborative effort is really a big benefit to customers. Just a few of the outcomes for customers of this relationship: they get more choice, they’re able to move on things more quickly, the security is better. They gain greater simplicity in how they do things. 02:25 — So the final piece about this is: What are we going to see here? Is this going to lead to a softer, gentler range of competition in the Cloud Wars? Are AWS and Oracle going to be like the lion and the lamb and lie down together and be best friends forever? I don't think so. But what they need to be able to do here is continue to find ways to work together where it's appropriate. 03:36 — So, I wish Oracle and AWS all the best. I hope they’re able to balance this new love affair with also a sense that they’re going to continue to brawl frequently and vigorously. That’s good for everybody: them, their customers, and the people who benefit from what those customers do. Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I explore how ServiceNow and Nicus Software are teaming up to deliver a financial intelligence layer that helps enterprises optimize their cloud, AI, and IT spending by unifying data across finance , IT, and business units. Highlights 00:08 — ServiceNow is working with a partner, Nicus, to deliver a financial intelligence layer for enterprise tech. Interesting angle here: It's trying not just to consolidate the numbers, but to go beyond that. It involves multiple parts of the organization working in concert to really get not only the best data but also the ability to act on it. 00:34 — Tom Smith had a conversation with Ron Wastal, the Chief Ecosystem and Partner Officer at Nycus. Wastal described how this works for companies. It's in the category of Technology Business Management, but goes beyond that. Nicus is trying to bring financial teams, IT teams, engineering, and lines of business together to share this intelligence and collaborate. 01:22 — Again, this isn’t just about saying, “Hey, here’s how much is going on.” It’s about answering: Where is it happening? Why is it happening? How is it contributing or not contributing to business outcomes? That way, they can optimize the substantial dollars being poured into cloud and AI spending. These optimizations can really add up. 02:11 — Why ServiceNow in particular? Why did Nicus want to work with them? Ron explained that the IT data for many big companies lives in ServiceNow databases. That’s where they can find out what’s really going on. Tapping into those massive data stores allows them to have a huge impact. 02:38 — What Nicus does is put a financial intelligence layer on top of that IT data to enable a cycle of understanding, tracking, and optimizing IT spend. It's also leveraging ServiceNow’s unique workflows and cutting-edge AI capabilities to take action on these insights. That’s the difference Nycus sees in what it does versus others. 03:13 — Nicus has developed two specific applications—one for costing and one for planning. These apps are used across the platform to deliver a comprehensive picture of what’s going on. This is another example of how ServiceNow is working with world-class partners and ISVs to deliver great business outcomes for customers. This episode is sponsored by ServiceNow. Visit Cloud Wars for more.…
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In today's Cloud Wars Minute, I look at the ongoing relevance and success of so-called "legacy" organizations in the Cloud Wars Top 10. Highlights 00:16 — Now interesting to see across the 10 companies in the Cloud Wars Top 10 , we've got four that would fall under the sort of goofy legacy title. They've been around about half a century or more. And then we've got six companies that we referred to as cloud native. Interesting to see that right now the Cloud and AI revolution is fully underway. 00:49 — Because if you take the valuations of those four companies, Microsoft plus Oracle plus SAP plus IBM, it comes to a little over $5 trillion, which is almost exactly the same as the combined valuations of the six cloud native companies. My point is not just to play some goofy arithmetic game, but rather to say that there is a lesson here about the power of incumbency, right? 01:20 — If you've been in a market for a certain amount of time, something new comes along. You can try to ignore the new thing and say "No, no, we'll just power through this on our own." Or you can say, "Let me take the capabilities I currently have as an incumbent ... and then blend that in with his cool new stuff here." 02:11 — I mentioned the four legacy, so-called legacy tech vendors, Microsoft is say 52, no 50 years old this year, $3.71 trillion market cap. Oracle is about 47-years-old this year, $667 billion, SAP is 53-years-old, $370 billion, and IBM 114-years-young, and combined those four add up to $5.02 trillion. 03:14 — I'm not taking away anything from either side, but this is a remarkable example of how it's not just the bright shiny objects that are going to determine who's going to win or lose or start up with the cool new stuff. 04:10 — It also shows us that the mindset of companies is so important these days. We can't say, "Well, I can't make it. I am caught in the old world." But instead, "How do I take the new things that are happening, weave that into what I h Visit Cloud Wars for more.…
In today's Cloud Wars Minute, I take a look at how SAP is advancing its sustainability agenda by becoming its own test subject. Highlights 00:03 — SAP has announced that it's utilizing its own sustainability software to further the company's sustainability goals by acting as the ultimate test subject. Its pushing the boundaries of its sustainability offerings while also addressing common customer challenges such as mass data management, compliance , and analysis. 01:05 — Solutions include tools like SAP Sustainability Control Tower, SAP Sustainability Footprint Management, and SAP Green Ledger. The company has been using these tools since 2022. From the beginning, SAP recognized that its team needed to consistently collect emissions data, ensure dedicated governance, and build on the carbon data capture element of the project. 01:37 — There's much to admire about this process. First, there is the trust and confidence element. SAP demonstrates utmost trust in its products and confidence in its ability to address specific customer needs. Additionally, this strategy provides an incredible opportunity to show customers how best to utilize the tools it supplies. Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, Bonnie shares insights from a recent Salesforce event, exploring how AI agents , data clouds, and robotics are reshaping customer experience, software implementation, and enterprise transformation. Episode 52 | AI Agents in Action The Big Themes: Campaigns Are Out, Conversations Are In : Marketing is undergoing a radical transformation. Gone are the days of mass email blasts and no-reply addresses. Instead, AI is ushering in a new era of real-time, personalized engagement. Salesforce is leaning into this shift with tools that replace one-way campaigns with dynamic conversations. AI agents now tailor interactions based on behavior, preferences, and real-time context, fostering true customer intimacy at scale. Unified Data Is the Bedrock of Smart AI : No AI strategy can succeed without clean, connected data. Salesforce’s Data Cloud addresses what SAP calls the “swivel chair problem” — when teams toggle between disconnected systems to piece together a customer story. AI agents can’t operate effectively if data is fragmented or siloed. That’s why Salesforce is investing in tools that unify sales, marketing, support, and financial data, giving AI a full-picture view of the customer journey. AI Agents Are Already Delivering Real Result s: AI isn’t theoretical anymore — it’s working in the wild. Bonnie pointed out two standout cases: University of Chicago Medicine and Ford Pro. In healthcare, Agentforce transformed an outdated, frustrating appointment system into a streamlined digital process, improving both efficiency and patient experience. At Ford, AI agents guide customers to ideal vehicle matches with minimal input, keeping users on-site and increasing conversion. The Big Quote: “I think that buyers are looking more at the execution and fit of software, as opposed to the software brand itself. And I would say that that is a shift in the last year or so, especially now with the advent of AI and just the rapid pace that everything is moving so, less on brand, more about how are you going to offer me the complete solution and break down silos of data?” More from Bonnie Tinder: Connect with Bonnie on LinkedIn or send a message via her Acceleration Economy Analyst page . Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

Ajay Patel is the General Manager of Apptio and IBM IT automation. He and Kieron Allen sat down to talk about how enterprises are transitioning from AI experimentation to real business impact. They explored key challenges like cost transparency, governance, and data readiness, as well as the rise of agentic AI to automate workflows at scale. Ajay also introduced Apptio’s new AI TCO and Usage tool, designed to help CIOs and CFOs measure and optimize AI investments. Smart Spending on AI The Big Themes: Enterprises Are Moving Beyond AI Experiments to Strategic Deployment : The era of AI experimentation is over. Enterprises are now actively deploying AI, particularly in sales, service operations, and software development. However, those achieving meaningful impact are taking a strategic approach, rather than letting teams experiment in silos. The C-suite increasingly sees AI as critical, but that value perception isn’t always shared by the wider workforce. AI and IT Budgets : AI now consumes more than 20% of IT budgets , yet overall tech spending is only increasing 4–5%. This creates a 10–15% gap, leading companies to “forward fund” AI initiatives by reallocating from other areas. A key challenge: there’s no standardized pricing for AI. To address this, IBM's Apptio launched the AI TCO and Usage solution. It helps CIOs and CFOs baseline current AI investments, measure unit economics, and identify areas to optimize or expand. Agentic AI, the Next Frontier : Agentic AI is key to scaling beyond isolated use cases. It enables automation at scale and connects AI investment to tangible business outcomes. From cost savings in infrastructure to better visibility in FinOps to boosting customer experience, the ROI is clear when deployed correctly. But none of this happens without data readiness, governance, and strategic clarity. The Big Quote: "AI TCO solution fundamentally starts by giving CIOs [and] CFOs in the business a complete view of where the tech spending and AI spending is, and what stage is that? Is it in a pilot phase? Is it for training models?" Learn more: Connect with Ajay Patel on LinkedIn and learn more about Apptio . Visit Cloud Wars for more.…
Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud. In today’s Cloud Wars Minute, I dive into Slack’s bold move to restrict API access to bulk data exports, effectively blocking the use of its platform data for LLM training and signaling a strategic pivot toward proprietary AI control and heightened data security Highlights 00:03 — Salesforce has changed the API Terms of Service for Slack , which will stop companies from using LLMs to ingest data from the platform. Ultimately, the new policy prohibits the bulk export of Slack data via the API and confirms that data access through Slack APIs cannot be used for LLM training. 00:21 — From now on, companies will have to use Slack’s new real-time search API. In a blog post by the Slack developer team, the company states that this new API eliminates the need for large data exports from Slack, keeping customer data secure while maintaining support for key use cases like permission-based search. 00:56 — Now, while Salesforce and Slack say the focus is on security, there is another angle being discussed, that this move encourages a shift towards proprietary technologies. It’s difficult to pinpoint this trend. On one hand, we see a push for interoperability across the industry, while on the other, Slack’s announcement on the real-time research API coincided with support for the Model Context Protocol. 01:25 — Data is still the currency that drives AI and sharing it recklessly with any LLM that requires access can be counterproductive from a business standpoint. Companies like Salesforce don’t want to be liable for data used by third-party applications, and none of the major tech companies want to stifle innovation with overly restrictive policies. Visit Cloud Wars for more.…
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In this episode of the Office of the CFO Podcast, John Siefert hosts Rob Ashe , VP of North America, SignUp Software , and Blaine Grzegorek , Senior Solution Architect, Sikich , for a conversation on the benefits of partnering with ISVs, top considerations when selecting an ISV, and the impact of AI agents. Key Takeaways: Risks of building your own solutions: One major risk that's becoming more prominent is having the expertise in-house to build custom solutions. Another hurdle is the upfront costs compared to subscription costs associated with many ISVs . Oftentimes, Ashe notes, "You have to spend a lot of capital on new tools...to make this new solution or change a process." Grzegorek suggests a third challenge which is meeting compelx needs. Oftentimes, industry expertise is also required, as you may be able to build the technology but might not be ready to translate the business needs to the ERP . Benefits of partnering with an ISV: A big reason organizations turn to ISVs is that they develop purpose-built solutions to address multiple different situations and multiple industries. "That's what I've found clients like about it, there might be a core functionality out of the box but it doesn't really handle every scenario," Grzegorek says. Working with ISVs provides expertise in various industries to consult with to address specific issues and needs. Considerations: Because ISVs work on these types of projects regularly, they are aware of more elements to take into consideration. For instance, Ashe describes how ISVs look at the landscape within Dynamics 365. It's important to consider how the solution will integrate with existing systems, how it will impact security, where data is being sourced from, and more. Selecting an ISV: When selecting an ISV, there are some qualities you should look for to ensure unexpected situations are taken care of. "The documentation they have, that speaks a lot to what they're able to contribute on an ongoing basis," Grzegorek says. Clients are looking for partnership , and working with an ISV is a partnership. You want to be confident that you can reach out to your ISV and get answers right away. "It's hard to see that before you actually start that partnership, so I go to that documentation of what the solution has, what it solves, and if that stuff is detailed...that is a huge indicator." Initial interactions with them are also a good sign of this. Multiple ISV solutions from a single vendor: It's always beneficial to have an ISV that can provide multiple solutions in different areas. One thing to look out for, Grzegorek highlights, is to make sure that the ISV has good alignment internally. Integration time is also a major focus, considering whether you have to integrate or if it's embedded in the system. AI agents and Microsoft Dynamics 365: While the solutions themselves are very powerful, AI agents can add a new level of efficiency. Ashe shares an example of how individuals are now running teams of agents to automate various functions. There are agents fulfilling individual functions within Dynamics 365 that customers are already using, so SignUp Software is like an extension of the platform and the workload. "We feel like we have a really strong value proposition to bring back to Microsoft to leverage the strength and the roadmap of the platform, but then also have immediately valuable solutions that they can take advantage of now," Ashe says. This episode is sponsored by SignUp Software. Visit Cloud Wars for more.…
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In today’s Cloud Wars Minute, I break down the latest growth rankings among the top 10 cloud providers, highlight Google Cloud’s continued lead, and show how legacy giants like Oracle and SAP are rapidly transforming into cloud powerhouses. Highlights 00:15 — I wanted to share with you the latest numbers for the Cloud Wars Growth Chart, where we take a look at the growth rates of the Cloud Wars Top 10 companies. Google Cloud holds on to the number one spot. But SAP and Oracle are breathing down Google Cloud's neck. Google Cloud grew in its most recent quarter by 28%, with revenue of $12.3 billion. 00:51 — Tied for second place are these two so-called legacy companies. Both grew in their most recent quarters by 27%. SAP’s cloud revenue is now $5.3 billion, Oracle’s $6.7 billion. Next quarter, it is likely that Oracle could well be number one on this list. But that's all the future, and we will see how that goes. 01:42 — In fourth place is Microsoft, 20% growth rate on $42.4 billion in revenue. ServiceNow grew 19% as it cracked $3 billion for the first time in a quarter. AWS, 17% — $29.3 billion. Similar to what we said about Microsoft: 17% growth rate on almost $30 billion in revenue is very impressive. 03:00 — Workday, up almost 14%, to $2.1 billion. Salesforce at 8%, $9.8 billion. Snowflake, up 26% to $997 million. I’m not placing Snowflake within the regular run until its quarterly revenue exceeds $1 billion. It's extremely likely that next quarter, we’ll see Snowflake take its place in the regular run of companies. IBM does not report its cloud revenue anymore. I hope IBM will change that policy. 04:22 — It’s fascinating to see a purely built-for-the-cloud company, Google Cloud, in the number one spot. And who’s behind it? Two venerable companies — mostly still in the software business completely for SAP — but Oracle now, in addition to its fast-growing cloud software business, also has a hypergrowth cloud infrastructure business. Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

1 Inside Rabbit’s Strategy to Automate Cloud Cost Optimization for Engineering Teams with Balazs Molnar | Cloud Wars Live 19:57
Balazs Molnar, CEO and co-founder of Rabbit, chats with Kieron Allen about the evolving challenges of cloud cost management and how engineering teams have become central to tackling them. He explains why traditional FinOps tools fall short, how Rabbit dives below the surface to uncover hidden waste (especially in platforms like BigQuery) and why automation is essential for real savings. Optimizing Cloud with Rabbit The Big Themes: Cloud Costs Take Center Stage : Companies are no longer asking, "What can we build on the cloud?" They're now asking, "Why is this so expensive?" Rabbit's origin stems from this exact pivot: cloud costs spiraled out of control, catching businesses off guard. Despite robust migration to cloud environments like Google Cloud , companies found themselves ill-equipped to understand the hidden inefficiencies causing waste. Cloud spend can quickly balloon without the right oversight. The Cloud Buffet Problem : Balazs described cloud computing like a buffet: Engineers can take whatever they want, whenever they want. The cloud’s flexibility is its strength but also its greatest risk. Unlike traditional on-prem setups that required hardware purchases and physical limits, cloud environments are boundless. Engineering teams now hold the wheel, yet they’re typically not tasked to steer toward efficiency. This creates what Molnar calls a "FinOps trap": assuming finance can solve a problem that’s fundamentally technical. Why Optimization Matters Now : Cloud vendors are still growing at impressive rates, but cracks are forming. Some businesses are exiting the cloud, not because they dislike the model — but because costs feel unmanageable. Molnar warns that in most cases, this isn’t a cloud problem — it’s an optimization problem. The promise of cloud was flexibility and scalability. But without proper tools, it becomes unpredictably expensive. The Big Quote: "We all know the news that cloud vendors are growing 30%+ on a year-over-year basis. But we also started to see cracks in the system where companies are actually deciding to move out of the cloud because it's too expensive to them. But the reality [is] it might not have to be that expensive. It's just not optimized." More from Balazs Molnar and Rabbit : Connect with Balazs on LinkedIn and check out more about Rabbit . * Sponsored podcast * Visit Cloud Wars for more.…
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1 Workday Leads the Future of AI Agent Management and Workforce Transformation | Cloud Wars Live 16:47
Assist, Accelerate, Transform The Big Themes: Workday’s Agent System of Record : Workday's Agent System of Record manages the emerging digital agent ecosystem. It provides structure and governance to what could otherwise become a chaotic sprawl of AI agents . By embedding agent management into existing organizational hierarchies, Workday ensures that agents become a structured extension of the workforce rather than a disconnected experiment. Shift Toward Role-Based Agents : Workday is designing agents to reflect the roles and responsibilities of human workers. Rather than focusing narrowly on task or function-specific agents, Workday emphasizes role-based agents that closely align to actual jobs within an organization. Examples include payroll agents, financial audit agents, employee self-service agents, and recruiting agents. Three-Phase Customer Framework : To ease customer adoption, Workday has a three-step framework: Assist → Accelerate → Transform . The assist phase focuses on basic productivity improvements, giving employees relief from repetitive, low-value tasks. Then, companies enter the accelerate phase, expanding the use of agents to drive more meaningful efficiencies and process optimization. The final transform phase represents the full reimagining of work processes with human-agent collaboration at the core. The Big Quote: “A mindset shift for us as AI developers is we made AI as features to solve problems, and now we're thinking a lot about AI as a group of skills." More from Shane Luke, Ali Fuller, and Workday: Connect with Shane and Ali on LinkedIn or learn more about Workday's Agent System of Record . This episode is sponsored by Workday. Visit Cloud Wars for more.…
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Cloud Wars Live with Bob Evans

1 How SAP is Redefining Enterprise AI with Unified Data and Strategic Partnerships | Tinder on Customers 20:07
The Big Themes: SAP’s Flywheel Strategy: SAP introduced a compelling flywheel model that integrates applications, data, and AI to drive enterprise momentum. The idea is that integrated applications generate structured data, which then feeds a robust AI layer. As these layers build on one another, they create a self-reinforcing cycle of productivity, insight, and innovation—a flywheel effect. Unlike Microsoft and ServiceNow, which predict the collapse of applications in favor of agents, SAP asserts that AI agents will enhance, not replace, applications. The Business Data Cloud and Databricks Partnership : A highlight of the event was SAP’s Business Data Cloud (BDC), launched in partnership with Databricks . This foundational layer brings together internal SAP data and external sources like Moody’s or climate models, enabling richer decision-making. SAP showcased real-world use cases, such as tariff fluctuation impact analysis across supply chains, to demonstrate the power of combining enterprise and contextual data. Prompt Optimizer and the End of Prompt Engineering : SAP’s introduction of a “Prompt Optimizer” signals a shift in the AI interface landscape. Instead of manual prompt engineering, users will soon rely on AI to manage and optimize prompts across multiple large language models (LLMs), including ChatGPT, Claude, Gemini, and Perplexity. CTO Philipp Herzig even declared we’re at “the beginning of the end” of prompt engineering. The Big Quote: "[Customers are] not ready to deploy AI and have that completely eliminate the need for apps. The data is just not there. So, maybe five years from now, let's see what progress we've made. But what's in the here and now is that customers are looking for applications." Visit Cloud Wars for more.…
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