Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I dig into why Google Cloud’s momentum in AI-centric deals is reshaping the entire cloud landscape.Highlights00:30 — A few major things became evident from Google Cloud's third-quarter results from late last month. One, if you look at the giant deals Google Cloud signed in the first three quarters of 2025, it inked more billion-dollar-plus deals than it did in all of 2023 and 2024 combined. The pace of these huge investments by businesses is accelerating.01:05 — Alphabet CEO Sundar Pichai expressed excitement that enterprise AI is now becoming a huge factor of these massive deals. In just three quarters, Google Cloud signed more billion-dollar deals than in the previous eight combined. Seventy percent of all Google Cloud customers are now purchasing the company’s AI products and services. Another indicator of momentum is its backlog.02:25 — Pichai also said that Google Cloud now has 13 products with annualized revenue run rates exceeding $1 billion. He emphasized the company's diversification and scaling of its product line, many of which are tied to enterprise AI. Gemini Enterprise has already been adopted by over 700 customers and deployed across more than two million seats.03:36 —Over the last two years, Google Cloud has been the fastest-growing player in the Cloud Wars Top 10. I’ll go into more detail in an article later this morning, but it’s worth noting that Google Cloud’s reign as the number one fastest-growing company is about to end. That’s because Palantir, a new entrant into the Top 10, posted an eye-popping 63% revenue growth in Q3.04:15 — Still, if you set aside the outlier of Palantir, Google Cloud remains the fastest-growing among the rest. It's executing well, with lots of momentum. The backlog data underscores that this isn't just about past performance — it’s a forward-looking indicator that their pipeline is incredibly strong. So, hats off to Google Cloud for doing a great job. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I call out AWS’s slowdown in both innovation and momentum, as the rest of the hyperscalers redefine the future of cloud.Highlights00:15 — Now it's been interesting here as we watch the four hyperscalers recently, Microsoft, AWS, Google Cloud, and Oracle. We hear that cliche about a rising tide lifts all boats. And I would say that AWS is definitely the one of the four hyperscalers that is rising less slowly, less quickly, and to not as great a height.01:08 — AWS is the company that created the cloud infrastructure business, and for most of those 19 years, AWS deserved to be called the King of the Cloud. But a few years ago, Microsoft's cloud, Azure, became, you know, quite prominent. Google Cloud started to innovate wildly. Oracle has been on fire. AWS lost the role, the opportunity, the swagger of being the leader02:16 — It is now the follower. AWS is not the innovator, either in technology or in go-to-market ways, and these financial results prove that they certainly had a very nice Q3. You can't just bring metrics or comparative performance from other industries and apply it to the Cloud Wars. Those numbers that AWS put up were just not anywhere close to as good as those of its competitors.03:36 — So, in either of those cases, AWS is being dramatically outgrown by the other three hyperscalers. There's just no way around it, and in a detailed article that I'll have on cloudwars.com later today, I lay that out both for the quarterly numbers and the latest RPO and backlog figures.04:23 — And in the AI Revolution, these four companies are in large part helping the entire global economy to establish, "How am I going to move forward? What am I going to need to do?" The other three have all stolen the jump on AWS and become much more dynamic, and that's revealed in the customer demand, expressed as quarterly revenue and also going forward as RPO or backlog.05:28 — What we're seeing here is the fact that this, this notion of innovation, of, you know, relentless performance, relentless excellence, relentless progress. It can be brutal at times. And while AWS is a big, successful company, is going to be around for a long time, the numbers are showing it is no longer anywhere close to the leader. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans speaks with T.K. Anand, Executive Vice President at Oracle, during Oracle AI World in Las Vegas. The discussion centers on Oracle’s new AI Data Platform, a major initiative designed to help customers harness their own data to drive AI transformation. Anand outlines how Oracle’s open, unified approach to managing enterprise data enables organizations to bring AI directly to their business processes, while also citing breakthrough developments in industry-specific applications.Reinventing with AIThe Big Themes:Data + AI = Business Reinvention: Enterprises cannot simply adopt AI as a bolt‑on; they must combine their private business data — workflows, applications, processes — with advanced models if they hope to reinvent themselves ahead of disruption. Anand notes that many AI/LLMs have been trained on public domain data and thus “know nothing about our customers’ private data.” The AI Data Platform is designed to enable that union.Pre‑integrated with SaaS Applications: For customers of Oracle’s large SaaS portfolio (e.g., Fusion, NetSuite, industry apps) the AI Data Platform offers tailored variants that are pre‑integrated with the application’s data models and semantics. This means organizations get out‑of‑the-box predictive models, analytics, and agents aligned to their workflows, but still have the full platform underneath to extend or customize. This helps reduce time‑to‑value for companies using those applications.Full Stack Advantage: Oracle positions its differentiator as owning and integrating the full stack: cloud infrastructure (OCI including autonomous database), data and analytics platform, applications (SaaS) and now AI/agents. This end‑to‑end control enables closer integration between data assets, applications, and AI use cases. For example, having application workflow knowledge baked into the data platform allows faster mapping from business process to predictive agent.The Big Quote: “The AI Platform is all about helping our customers achieve AI transformation through the power of their own data."More from T.K. Anand and Oracle:Connect with T.K. Anand on LinkedIn or get an overview of Oracle AI Data Platform. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore Workday’s latest move to deepen AI’s role in enterprise operations.Highlights00:03 — Workday has announced its new Custom AI Model Library for the Workday Contract Intelligence Agent, powered by Evisort. The library includes over 120 pre-built AI models designed to identify critical clauses, risks, line items, and terms within contracts. The goal is to give users specialized models that speed up contract review, detect risks earlier, and reduce manual work.00:40 — The addition of the Custom AI Model Library expands the range of contract terms users can automatically analyze. Jerry Ting, Vice President and Head of Agentic AI and Evisort at Workday, said: “We aren’t just adding features; we’re giving our Contract Intelligence Agent new skills that help solve real business problems.”01:29 —What stands out about this announcement is how Workday is operationalizing AI within enterprise contract management: moving beyond standard automation toward domain-specific, customizable intelligence. This is a key differentiator, and one every company in the agentic AI space should aim for. Visit Cloud Wars for more.

Hasan Rizvi, EVP, Database Engineering, Oracle, talks to Bob Evans in this latest episode of Cloud Wars Live. They explore the launch of Oracle AI Database 26ai, the Autonomous AI Lakehouse, and breakthroughs in multi-cloud deployment. Rizvi also discusses vector search, agentic AI, and how Oracle is simplifying complex architectures for the AI era. It’s a compelling look at how Oracle is reshaping enterprise data strategy for the age of AI.Oracle’s Next-Gen Data StrategyThe Big Themes:AI Demands a Modern Data Foundation: As AI shifts operations from human scale to machine speed, enterprises must ask: “Is my data foundation ready?” Without intelligent data structures, comprehensive access, real‑time performance, and strong security, organizations will struggle to compete. The introduction of Oracle AI Database 26ai is positioned as that foundation. The urgency of this shift is clear: companies that delay risk being left behind.Agentic AI and Vectors Come to the Enterprise Database: Generative AI and autonomous agents require new data types and workflows. Oracle has built vector data types and vector indexes into the database so enterprises can perform similarity search, retrieval‑augmented generation (RAG) and agent workflows directly on their private data. Further, Oracle is enabling annotations (metadata) so LLMs can understand enterprise data schemas, improving accuracy. Finally, agentic workflows (AI that takes action) are supported within the database, reducing data movement, improving performance and strengthening security.Start‑Ups and Established Enterprises Both Benefit: The case study of Retraced (a fashion supply‑chain company) underscores how smaller, agile firms are using Oracle’s autonomous AI database to innovate quickly: multi‑datatype support, agentic AI, automatic scaling, and reduced operational overhead. At the same time, Oracle’s heritage in mission‑critical enterprise systems means large companies with massive workloads benefit from the same platform. The point: whether you’re a start‑up or a Fortune 500, the difference will be how fast you move.The Big Quote: “We really believe that in in the age of AI, where you have to move much faster, you really don't have a choice but to start simplifying your environment. Otherwise, you're going to get left behind."More from Hasan Rizvi and Oracle:Connect with Hasan on LinkedIn and learn more about Oracle AI Database 26ai. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I spotlight Palantir’s stunning 63% revenue surge and its defiant, rule-breaking vision for the AI Era.Highlights00:30 — Palantir, earlier this week, reported its Q3 numbers, and they were absolutely extraordinary. I thought the only thing that matched the blowout numbers that Palantir had was the perspective and philosophy revealed in the Q3 earnings call from CEO Alexander Karp. I want to talk about that in just a minute.01:23 —You hear talk around the industry, people saying, “Well, what is Palantir? Are they an apps company? Are they an analytics company? Are they a data company? Are they an AI company? Are they a database company? Are they, you know, this or that?” Palantir absolutely defies any easy positioning or being put in a particular box or category. It is all of those things.02:26 — Its revenue for Q3, ending September 30, was up 63% — almost $1.2 billion. It had projected growth for Q3 of about 51% and blew that number away. Within that, its U.S. commercial business is now by far the fastest-growing part of its company. Remarkable growth there of 121% in Q3 to almost $400 million. The U.S. government business was up 52% to $486 million.03:42 — Palantir signed new deals totaling $2.8 billion in contract value. That new business alone is an indication that this is not a blip. Some people talk about an AI bubble. Karp said, “The bubble exists only for companies that are not really trying to impart enduring value.” Of that $2.8 billion, there were 93 deals signed in the quarter for $5 million or more, and 51 deals for $10 million or more.04:14 — A big point that Karp made is that as the company gains more visibility, it’s important that: “We are always at the toughest and most complex part of our customers’ technology stacks, because with AI, that’s the only way we can impart real value for those customers and unlock for them the ability to become truly transformed companies in the AI revolution.” He speaks like no other CEO I’ve been around. Visit Cloud Wars for more.

In today's Cloud Wars Live, Mahesh Thiagarajan, EVP, Oracle Cloud Infrastructure, speaks with Bob Evans about Oracle’s bold strategy to lead in the AI infrastructure race. He details how Oracle is scaling zeta-level compute, launching a 1.5 gigawatt GPU campus, and engineering full-stack solutions that combine bare-metal hardware, custom networking, and advanced software. With OCI’s rapid innovation and massive scale, Oracle is positioning itself as a serious challenger to cloud incumbents like AWS, Microsoft, and Google Cloud.Scaling AI at OracleThe Big Themes:Enterprise Data Continuity and Cloud Strategy: Enterprises rely on mission-critical data, such as databases, and migrating that data to the cloud remains a major strategic priority. The challenge isn’t simply moving data: It’s building a cloud platform that delivers real value to customers. As Thiagarajan and his team began developing Oracle Cloud Infrastructure to support these needs, they focused on core fundamentals: performance, cost efficiency, and security. This illustrates that for today’s cloud providers, success isn’t just about innovative features, but about engineering deep, resilient infrastructure.Customer‑First Execution: Thiagarajan repeatedly states there is no perfect playbook. The approach: wake up every day, talk to partners, figure out what customers need and execute. This mindset emphasises responsiveness and pragmatism. Given the rapid pace of change in cloud and AI, large providers cannot wait for general frameworks to emerge. They must iterate, partner, and build in real time.“Late” As An Advantage: Thiagarajan observes that arriving in cloud later gave Oracle the ability to learn from first movers’ mistakes and benefit from newer hardware generations without legacy baggage. While first movers often carry large legacy systems, later entrants can design for new architectures (bare‑metal, custom networking) from the ground up. That doesn’t guarantee success but presents an advantage if leveraged.The Big Quote: “You earn trust with [partners] by getting their products out to market fast into the hands of the customers, because that really translates to them, the end customer, being happy."More from Mahesh Thiagarajan and Oracle:Connect with Mahesh Thiagarajan on LinkedIn or take a look at his Oracle blog posts. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I take a look at Microsoft’s newest Copilot feature that lets users type to Vision instead of relying solely on voice.Highlights00:10 — Microsoft has rolled out a new update for the Microsoft Copilot app on Windows for Windows Insiders. This update allows users to interact with Copilot Vision using text inputs, and Copilot will respond, in turn, with text outputs in the same chat window. Previously, interactions with Copilot Vision were only possible through voice commands.00:50 — Microsoft has been rolling out new Copilot features rapidly in recent months. Vision allows you to interact with the AI assistant, Copilot, to answer questions about what's displayed on your screen or captured by your mobile camera feed. There’s been a significant push from Microsoft to make Copilot a voice-first AI tool.01:29 — Ultimately, this approach lowers the barrier to entry for users by removing the complexity associated with engaging with Copilot solely through text inputs. However, consumers will always desire choice, and this addition to Copilot’s capabilities is a positive step for Microsoft. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I take a look at how Oracle and Google Cloud are surging past Microsoft and AWS in RPO and backlog growthHighlights00:13 — There’s no question that 10, 12, 15 years ago, it was AWS and Microsoft that set the rules for cloud infrastructure. Google Cloud and Oracle, both of them, while much smaller in revenue than AWS and Microsoft, are growing much faster. My conclusion here is that Oracle and Google Cloud are roaring past Microsoft and AWS in RPO and backlog growth. Let me show you what I mean.01:14 — Oracle, Google Cloud, Microsoft, AWS. I’ve got two sets of growth rates here. This first one looks sequentially — Q3 RPO growth versus total Q2 revenue — and what the growth rate is. Oracle: $455 billion RPO. It grew sequentially from their last quarter to this quarter — its RPO went up 43%. Google Cloud: $155 billion. From last quarter’s number to this quarter, its RPO growth rate was up 46%.02:17 — Microsoft: $392 billion, huge number, but its RPO grew just 6.5%. Looks weak compared to the others, but then there’s AWS — $200 billion RPO for the quarter ended September 30. That’s an RPO growth of only 2.5%. So, we have these two high-flyers in the hyper-growth category, mid-40s, and the two big traditional cloud infrastructure vendors growing in single digits.03:15 — RPO growth rates on an annual basis, year over year. Oracle’s up 359%. Google Cloud: huge jump here, 82% growth in their backlog year over year. Microsoft: very nice, 51% year over year. But if you look at the most recent number, it’s 6.5%. AWS — I can’t give you an annual growth number because a year ago AWS was not releasing its backlog numbers. In Q2, it was $195 billion.04:03 — So, they went up $5 billion to $200 billion, and that’s why they had that small growth number. Now we all know those lines about “there are three kinds of lies — lies, damned lies, and statistics.” So, somebody might think I’m spinning a tale and fibbing or lying about these numbers, but the numbers themselves do not lie, and what they’re clearly showing is that Google Cloud and Oracle are doing new sorts of things.04:46 — They're appealing to the new needs, demands, and requirements customers have, and it’s being reflected in the growth — not only their higher revenue growth rates, which reflect the past, but also their RPO or backlog growth rates, which reflect and look into the future. Visit Cloud Wars for more.

Juan Loaiza is the EVP of Database Technologies at Oracle. In today's special episode of Cloud Wars Live, Loaiza joins Bob Evans to discuss how AI is transforming the way businesses interact with data. He spotlights Oracle’s new AI-native database, the importance of trust and security in enterprise AI, and why business users now play a bigger role in data strategy. It’s a revealing look at how Oracle is shaping the future of intelligent data systems.The AI Data RevolutionThe Big Themes:Trust, Governance, and Privacy Must Be Built Into the AI‑Data Stack: One of the strongest points made by Loaiza is about the risk of AI in enterprises: hallucinations, mis‑use of data, privacy violations, regulatory consequences. When mission‑critical systems (hospitals, banks, telecoms) are involved, errors are unacceptable and can be illegal. Oracle’s approach is to embed privacy and access controls down into the database engine: the system knows who the end user is, what they can see, and ensures AI cannot leak unauthorized data.Multi‑Cloud, On‑Premises, Hybrid — Customers Want Flexibility: Loaiza describes how Oracle is enabling customers to run their database and AI workloads wherever they need: on‑premises, in public clouds (AWS, Azure, Google Cloud), or via “cloud at your data center” options like Exadata Cloud@Customer. This speaks to regulatory, latency, data sovereignty and operational constraints. For enterprises, the takeaway is that deployment flexibility is essential. A one‑size‑fits‑all cloud model may not meet strategic needs.Business Users and Developers Now Have Voices in Database Strategy: Historically, databases were the domain of DBAs, IT operations, and infrastructure teams. Now business users and developers also have meaningful voices because of AI democratizing access. This shift means organizational structures, roles and processes must change. Data governance, training, tool‑selection and deployment pipelines need to reflect that the “consumer” of the database is broader.The Big Quote: “[AI] can translate English to this language of computers, the language of data, which is SQL. So, what that means is you don't have to learn this crazy language anymore. So pretty much anyone, business people, lay people, can now talk using their normal natural language to the database, and the database will understand what they're saying and give them answers, build applications to all these and this is something I honestly never thought I'd see in my entire life, and it's here today."More from Juan Loaiza and Oracle:Follow Juan on LinkedIn or learn more about Oracle's approach to security. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at the shift in enterprise preference from Microsoft to Google Cloud.Highlights00:15 — The three original hyperscalers all released numbers for Q3 last year. Each should be proud, but Google Cloud stood out in a significant way. Its Q3 revenue is up 34% to $15.2 billion. Its Q2 growth had been 32%, so, accelerating here. Mid-year, it said its CapEx would be $75 billion for all of 2025. A few months ago, it said, “Now we’re going to have to make it $85 billion..."01:38 — Now it's saying it’s going to be somewhere between $91 and $93 billion for this year. If you take the three hyperscalers in their Q3 performance here: $49.1 billion for Microsoft, up 26%, , terrific results. AWS, $33 billion; that was up 20%, so accelerating from Q2’s 17.5% — very nice. And then Google Cloud, $15.2 billion, as I mentioned, up 34%.02:39 — AWS and Microsoft are much larger than Google Cloud. Regarding new business Microsoft added $2.4 billion, AWS $2.1 billion, and Google Cloud $1.6 billion. So how does that play out? Well, of the $6.1 billion in incremental new revenue, Q3 over Q2, Microsoft got 39.3%, AWS, 34.4%, and Google Cloud,26.2%. So, for Google Cloud, 15.6% overall, but 26.2% of the new business.03:47 — My point here is that some previous long-range contracts that these companies have been winning have positioned AWS and Microsoft as much larger than Google Cloud; they’ve earned that. But looking forward here, in the early days of the AI Revolution, Google Cloud is gaining a disproportionate share of new business based on its size relative to AWS and Microsoft.04:44 — But I think the interesting thing here is to say, of the new business and looking forward, who’s winning this stuff — sort of right here, right now — forgetting the size disparities that have been up in the past. And Google Cloud, on that front, is looking very good. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I unpack how Microsoft is empowering business users with new Copilot agents that simplify app creation and workflow automation — no coding needed.Highlights00:11 — Microsoft has launched a series of new agents for Microsoft 365 Copilot customers in the Frontier Program: App Builder and Workflows, designed to accelerate the creation of AI-driven apps and workflows. These agents make it incredibly easy for general business users to utilize natural language in order to create apps, workflows, and even additional agents.00:46 — The Workflows agent allows users to automate tasks such as email, mail apps, and calendar management across Outlook, Teams, SharePoint, Planner, and other services like Approvals. Steps of the automation are displayed in real time and follow the same Copilot conversation, making it easy to add more or edit existing workflow steps.01:24 — In a blog post, Charles Lamanna, President of Business and Industry Copilot at Microsoft, outlined a use case for these new agents: "Imagine you're preparing for a product launch with a few multi-turn interactions. Create an app for a product launch process where teams can track launch milestones, assign tasks, and view campaign progress in a dashboard."01:37 — "Send a Teams update every Monday with upcoming launch deadlines and key tasks from Planner. Post reminders for approval deadlines in Teams channels. Build an agent that answers product launch questions like: “What’s the next milestone?”, “How do I submit creative assets?”, or “When is the launch event?”, using SharePoint resources and Teams conversations."02:08 — Regarding Microsoft's strategy for Copilot: step one involved integrating Copilot everywhere to ensure easy access and increasing familiarity. Step two was the launch of Copilot Studio Lite, which allows any user to build agents easily. Now, step three is focusing on finding the off-the-shelf agents available to make complex tasks such as app development and workflow automation seamless. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I compared the diverging strategies of SAP and Oracle as the AI revolution reshapes enterprise tech.Highlights00:22 — SAP versus Oracle. It was interesting on SAP's recent Q3 earnings call: the financial analysts seemed to be really preoccupied with this notion — was SAP going to get into the hyperscale business? Or was the fact that Oracle is in the cloud infrastructure business something that SAP sees as a disadvantage? I think those are entirely the wrong questions.01:00 — SAP is never going to go in that direction. Where SAP's future is — and what CEO Christian Klein kept coming back to over and over, and I believe very persuasively — is it's all about the data, and AI, and agents, and the way that apps are evolving to pull all of that together. It's about the business data cloud. It's about certain partnerships.01:45 — It reported a 22% increase in cloud revenue, but in constant currency, that was 27%. Its current cloud backlog was up about 27%. So, strong numbers for them — much, much faster than Oracle's apps business is growing. But Oracle thinks it is going to be ahead on the AI front, and with the database, infrastructure, and its vertical market apps, it thinks it's going to have a real case to be made here.02:27 — But from SAP’s side, Klein was asked about the hyperscale business. Really? His point was: no, no, no, this is not going to happen. Instead, we're going to double down — triple down — at SAP on the things that we do best and that our customers are looking for us to deliver.03:44 — A big point that Klein made about this — and why he's so confident about SAP's ability as he said, we are seeing more and more that the buying decisions are being made around business outcomes. That's the focus. Certainly, the CIO is involved, but the decisions are moving up into the C-suite and the boards of directors.05:08 — I think the competitive dynamics between SAP and Oracle are going to really intensify over the next two or three years because the opportunity here around the AI Revolution, with agents, AI data, and applications, is incredibly big and powerful. Visit Cloud Wars for more.

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, she shares powerful insights from leading organizations on how AI is being used not to replace employees, but to enhance experiences, streamline operations, and drive better business outcomes through purpose-driven, human-centered deployment strategies.Episode 56 | Human-Centered AI StrategiesThe Big Themes:Augments, Not Replaces Humans: AI should enhance the human experience, not eliminate it. Real-world examples, such as Marriott’s use of AI to improve the check-in process, demonstrate that AI can remove operational friction and allow frontline staff to focus on hospitality and customer engagement. In the energy sector, utilities are embedding AI into safety systems to make work more accurate and proactive. These examples show that the most successful AI deployments begin by identifying pain points in human workflows.Cultural Readiness Is Crucial for AI Success: AI adoption is not just a technical project; it is a cultural transformation. Multiple examples made it clear that even the most advanced tools can fail without the right introduction. One university CHRO compared AI implementation to sneaking vegetables into meals. By avoiding technical jargon and focusing on small improvements, they saw stronger adoption. People often resist what they do not understand, especially when it feels like a threat. Leaders who frame AI as a tool for reducing stress, reclaiming time, and increasing impact are more likely to succeed.AI Should Start with Outcomes: Real AI value begins with the business goal, not the technology itself. Companies that succeed with AI are the ones that begin by identifying the result they want to achieve. Whether it's streamlining hotel check-ins, reducing safety risks in energy infrastructure, or accelerating clinical breakthroughs, effective strategies start with specific problems. These companies ask their teams where the friction lies, and then choose tools to fix those issues. This is a shift from a technology-first mindset to an outcome-first mindset.The Big Quote: “I hope you know business people will all start to get to the point of like, yes, the nature of work is going to change. But AI is not going to spell doom and gloom for every worker on Earth. It's going to give many, many, many of them an opportunity to do better things." Visit Cloud Wars for more.

In today's Cloud Wars Minute, I unpack Microsoft AI’s push for empathetic AI with new features designed to make Copilot more relatable and engaging.Highlights00:18 — Microsoft has launched the Mico 1 character — a visual presence that appears and interacts with users when they tap into Copilot's voice mode. Now, this cloud-like entity is optional and actively listens, reacts, and even changes color in response to the direction of the conversation. The aim is to give Copilot a friendly face and make interactions more natural.00:59 — Mustafa Suleyman, CEO of Microsoft AI, said the following: “When we started talking about this idea of an AI companion a few years ago, it seemed distant and uncertain. Now it's real. It's here. We can't wait for you to feel the difference.” In a press release, Microsoft stated that Copilot is designed to be empathetic and supportive rather than sycophantic.01:32 — Now, I can't ascertain whether Microsoft has truly delivered the AI companion of pop culture fame — think HAL 9000 without the murderous intent. However, personalization and natural interaction have become their mission in recent months, and Mico is certainly an important piece of the puzzle. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I dive into how ServiceNow is redefining enterprise automation with its new AI Experience platform.Highlights00:15 — ServiceNow has for a long time been intriguing in the way that it does not necessarily map to or compete directly against lots of the other major Cloud Wars Top 10 companies. ServiceNow has gone a different sort of route, everything they're doing from AI and workflows. The company has taken another big step with a service they introduced recently called the AI Experience.00:56 — I had a chance earlier this week to speak with ServiceNow's President, Chief Product Officer and Chief Operating Officer, Amit Zavery. Now, one of the big things that Zavery said is: "Look, just as customers got sort of over the hump of saying, okay, I've got to integrate all my applications and my databases and my systems now along comes AI."01:28 — A concern among customers has been there's going to be lots of new pieces, and the customer is going to be stuck in the middle again. Amit said that a key point here is it [AI Experience] ties together these different data types, voice, images, data, text, and everything from the people, the data and the workflows that are happening around the company.02:28 — Amit further said: "What we want to try to do here is this automation, happening with AI end-to-end, across company." So, it's not just the processes, but how the company works up and down, across the organization, and with customers and with suppliers. He said: "We're trying to ensure that customers can use AI to cut technical debt, rather than add to it."03:13 — Another big point about this was, there's lots of productivity, lots of innovation here again. He said: "Trust has never been more important." He said that the AI Experience, in tandem with the AI Control Tower from ServiceNow, is going to give customers the ability to feel very comfortable that they understand they're on top of where these AI deployments are happening.04:28 — And he talks about how ServiceNow being very open in this platform. He said: "We're finding new ways to work with the other big tech companies to ensure that customers get what they want, and that we're not forcing customers to, again, get into that big game of integration. We want more innovation and less integration." Visit Cloud Wars for more.

Amit Zavery, President, Chief Product Officer, and Chief Operating Officer at ServiceNow, sits down to talk with Bob Evans in this special episode of Cloud Wars Live. They dive deep into how ServiceNow’s AI Experience is transforming enterprise workflows through automation, governance, and personalization. Zavery outlines a bold vision for delivering real ROI and trusted AI at scale.Reimagining Workflow with AI Experience The Big Themes:ServiceNow’s AI Experience Is About Unified, Actionable Intelligence: Amit Zavery describes ServiceNow’s AI Experience as more than a conversational interface, it’s an orchestrated, end-to-end workflow platform that integrates voice, text, image recognition, agents, and enterprise systems. It’s designed to eliminate the “spare part world” of fragmented tools and disconnected apps. By delivering one multimodal, multilingual interface, ServiceNow enables users to not just find information, but actually complete tasks and workflows.AI Governance and Control Are Built In, Not Bolted On: The AI Control Tower is ServiceNow’s answer to one of the biggest enterprise challenges: AI governance. With this feature, companies can discover, monitor, and manage all AI usage, not only from ServiceNow but across third-party systems, too. CIOs and CISOs gain the ability to track who is using what AI systems, what agents are doing, and what data is being accessed.Industry-Specific Use Cases Drive Real-World AI Value: Enterprise AI Zavery says must be contextual, curated, and tightly integrated with business processes. ServiceNow is collaborating with customers like AstraZeneca (pharma), BT (telecom), and Rossmann (retail) to deploy agentic AI that delivers real value in vertical-specific environments. These aren’t generic AI chatbots; they’re intelligent agents embedded in workflows that help store managers order inventory, researchers manage supply chains, and employees navigate complex rules.The Big Quote: “I call it the spare part world we are in right now, and it’s a very difficult thing for a lot of the leaders to really keep up with it. One to know, what are you using? How are you using it? What is the ROI on it? What are the costs associated with that?” Visit Cloud Wars for more.

In today's Cloud Wars Minute, I show how SAP’s seamless data strategy is driving real business value in the age of AI. Highlights00:14 — SAP reported a very nice third quarter last week. Some highlights from SAP Q3, and then I'll do the comparisons with its competitors. So, the cloud revenue overall is up 22% to $6.14 billion. Ad their current cloud backlog, which is pretty close to RPO (Remaining Performance Obligation), the term some companies use, was up 23% to $18.1 billion.01:24 — SAP is at the top, up 22% to $6.14 billion. Second place, Workday: 14% to $2.17 billion. Then Oracle, up 11% for its SaaS products to $3.8 billion. And Salesforce: most recent quarter revenue is up 10% to $10.24 billion. SAP’s growth is more than twice as high than what Oracle and Salesforce did, and it's about 60% higher than the growth rate for Workday.02:10 — There’s a lot to think about here. What’s making this happen? I think a few things are going on. One is, certainly there’s a tendency for longtime SAP on-premise customers to slide along and go with SAP.03:06 — The other thing I think SAP has done well is evolving their applications. First, it was the Cloud ERP Suite, now the Business Suite. It's trying to make things simpler for its customers with a seamless experience, same interface, same data model. SAP, along with the others, has been doing a very good job of infusing agentic AI into their applications.04:03 — So, very nice quarter here from SAP for Q3. It continues to dramatically outpace what its competitors are doing. But there’s a lot of back and forth, a lot of vying to close that gap on the part of competitors. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I unpack how Salesforce is reinventing IT support with its new Agentforce platform.Highlights00:11 — Salesforce has launched Agentforce IT Service. This product suite is described by the company as an agent-first, conversational-first IT support solution. Unlike lengthy back-and-forth interactions with service desk staff, the new system introduces a conversation-based resolution model that’s available 24/7.01:15 — Muddu Sudhakar, SVP and GM, IT and HR Service at Salesforce, said, "The fragmented, legacy ITSM model is fundamentally broken. By building Agentforce IT Service natively on the Salesforce and Service Cloud platform, we are driving a conversation-first, agent-first revolution — with product and technology innovation that transforms IT and HR..."01:43 — Agentforce IT Services represents a significant breakthrough that’s sure to save IT teams hundreds of hours with its unique agent-first, conversation-first approach. Support is instant and personalized. Salesforce has made a remarkable entrance into the ITSM space, making a powerful impact with its unified, agent-driven strategy. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I discuss the recent AWS outage, identifying five reasons that this outage will significantly impact the company's reputation.Highlights00:30 — AWS experienced a big outage this week, impacting multiple companies and services at a time when AWS, relative to its hyperscaler competitors, is in a decline. I think there are five core reasons that its reputation will suffer from this outage.01:15 — The magnitude of the outage will greatly impact the company's reputation. There is an enormous range of business customers directly affected by this, reaching millions of people across multiple industries.01:50 — There's never a "good" time for events like this to occur, but this outage happened at the beginning of the holiday season. In the minds of many business leaders, this season is where they get a large percentage of their annual revenue through online services. With this disaster, can AWS be fully trusted?02:30 — AWS is the slowest-growing hyperscaler. In a vacuum, it reached nearly $31 billion in revenue with a 17.5% growth rate in Q2. However, AWS is growing at a much slower rate compared to its hyperscaler competitors — Microsoft, Google Cloud, and Oracle.03:37 — AWS also has the slowest-growing RPO or backlog. AWS reported its backlog up to 25% to almost $200 billion. Again, in the world of the vacuum, that's terrific. But relative to the others, this wasn't very good at all.04:38 — This outage came at a time when the other hyperscalers are distinguishing themselves with powerful AI strategies and services. AWS has had some AI properties but not at the scale of Microsoft with Copilot and ChatGPT, Google Cloud with the launch of Gemini Enterprise, and Oracle with its Oracle Cloud Infrastructure (OCI). Visit Cloud Wars for more.