Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I dive into the key innovations behind Salesforce's push toward the agentic AI enterprise.Highlights00:12 —Salesforce has introduced its Spring '26 release, which will become available to customers on February 23. Salesforce Workspace, Salesforce's solution for unifying sellers and agents, is described as an intelligent hub. The solution acts as a single place for sellers to review agent performance, activity, and other analytics.00:50 — It carries out a wide range of tasks, such as anticipating customer issues, enabling self-service resolution, and conducting issue analysis. Finally, Agentforce Builder provides organizations with a dedicated facility for building, testing, and refining agents in a single, conversational workspace.01:41 — Here's my key takeaway: these new and enhanced features collectively push toward Salesforce's vision for the AI agentic enterprise, a place where humans and AI agents work collaboratively. What Salesforce is doing with its latest release is unifying the critical elements that will enable this vision. Visit Cloud Wars for more.

forced Microsoft out of the #1 spot in the Cloud Wars Top 10.Highlights00:03 — Going to go a little more deeply into the shuffles in the Cloud Wars Top 10, some big shake-ups here. Companies moving up and down. Microsoft, former number one, drops down to number three. Google Cloud, up to number one, Oracle to number two.00:25 — I want to talk today about my main reasons for moving Microsoft down from number one to number three. The Microsoft tumble here is really centered on its deep cybersecurity flaws that were exposed about 18-24 months ago. The range and scope of these cybersecurity shortcomings and weaknesses outweigh the extraordinary financial revenue and commercial success.01:38 — The significance of these cyber business shortcomings really came out about just over a year ago, when simultaneously both CEO Satya Nadella and Charlie Bell, who's Executive Vice President of Microsoft's Security business, both came out with public documents outlining how they were going in tandem to totally overhaul Microsoft's cybersecurity business, top to bottom.02:44 — This came out only after a government watchdog had very publicly flagged these shortcomings that Microsoft had and the results, the disastrous results, that led to some issues in China and some exposures of valuable information and more after that. I covered this extensively through the middle of 2024 and later throughout the year,04:18 — Microsoft has always said — Nadella has so frequently said — "Cybersecurity is our number one priority." Well, it's easy to say that. Apparently, it's very hard to do that and to live it. And this also then speaks to a lot of the questions I get about, "How do you do these rankings?" I take into account here the customer value that's being created.05:35 — It's a remarkable time here. And, I just want to emphasize Microsoft's commercial success. Revenue growth has been remarkable. It's by far the biggest cloud company in the world. Its growth rates have been remarkable. Its RPO numbers are great, but this cybersecurity failing just absolutely knocks them out of the running to be the top dog here. Visit Cloud Wars for more.

Bob Evans speaks with Jaison Correya, CEO of CLOUDVICE, in a special Cloud Wars Live episode focused on the real-world evolution of AI. Fresh off CLOUDVICE's win of the 2025 Oracle North America Technology and Cloud AI Innovation Partner Award, Correya explains the purpose-driven innovation behind the company's CORX platform. The discussion explores how AI, cloud, blockchain, and robotics converge to move intelligence beyond insights into action.From Data to ActionThe Big Themes:AI Must Drive Action: Jaison Correya makes clear that AI's value is limited if it stops at analysis. While AI can generate insights and recommendations, it does not create impact unless it is connected to execution. CLOUDVICE's approach focuses on enabling AI to act in the real world through orchestration with cloud platforms, blockchain security, and robotics. This shift moves AI from theoretical intelligence to operational autonomy.CORX Enables Convergence: CORX is positioned as the platform where multiple technologies converge into a single operational system. Correya describes CORX as the place where AI thinks, cloud scales, blockchain verifies, and robotics acts. Rather than treating these capabilities as separate tools, CLOUDVICE integrates them to eliminate fragmentation. This convergence allows organizations to securely scale AI while ensuring verification, governance, and execution remain tightly connected across digital and physical environments.Endless Automation Replaces Rules: Correya introduces “endless automation” as a new model that goes beyond static, rule-based workflows. Instead of relying on predefined scripts, CORX enables AI systems that reason, learn, and act as new data nodes are introduced. This allows automation to continuously evolve without constant reprogramming. For enterprises and public sector organizations, this means greater flexibility, efficiency, and resilience as conditions and requirements change.The Big Quote: “AI by itself can produce results, it can analyze and recommend, but it cannot scale securely without a proper cloud platform.”Learn more about CLOUDVICE and Jaison Correya:Connect with Jaison Correya on LinkedIn and learn about CLOUDVICE. Visit Cloud Wars for more.

In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities, is joined by Crystal Ahrens, Vice President of Solution Delivery and System Architecture at The Heico Companies LLC. Together, they explore how enterprises are moving beyond AI experimentation into real production outcomes, drawing on lessons from implementing agents and Copilot at scale. The conversation also previews what attendees can expect at the 2026 AI Agent & Copilot Summit NA, including real-world use cases, master classes, and community-driven insights.Key TakeawaysFrom readiness to productivity: Many organizations underestimate the effort required to prepare data and systems for agentic AI. The Summit addresses this gap by showcasing companies that have moved from AI readiness to AI productivity. “Everybody's dipping their toes in AI. Everybody's heard of it. But getting AI productive is not that easy to do. Here, we're going to hear the real stories — how you get there and the major pitfalls.”Master classes reveal the real costs: One standout element of the Summit is its master class format, which goes beyond high-level vision to expose real operational details. These sessions openly address run costs, staffing models, and the balance between human and AI labor. Rather than positioning AI as a replacement for people, speakers show how AI augments human intelligence and accelerates outcomes.Human intelligence amplified by AI: AI doesn't just automate tasks, it makes people more effective. Ahrens shares examples where Copilot and agentic AI dramatically reduce manual effort in financial analysis, help desk operations, and portfolio management. By handling exceptions, querying data, and surfacing insights faster, AI allows teams to focus on higher-value work. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore how AI and healthcare are intersecting at an unprecedented pace.Highlights00:14 — Discoveries in healthcare are coming at an unprecedented pace. Capabilities have never been greater, and new methods of consulting with and treating patients are consistently emerging. However, all of this progress brings with it a significant administrative burden, because the more variables you introduce, the more complexity arises.00:34 — The key to unraveling this complexity and alleviating the burden on healthcare professionals is AI. Microsoft has announced that Anthropic has added tools, connectors, and skills to Claude in Microsoft Foundry. These new capabilities enable healthcare and life sciences organizations to leverage advanced reasoning, agentic workflows, and model intelligence.01:30 — Claude for Healthcare provides domain-specific tools and resources to support both medical and operational workflows, covering a wide range of use cases such as patient care, triage, coordination, and claims processing. Claude for Life Sciences helps accelerate research and development by connecting to scientific platforms and enabling the generation of high-quality protocol materials with far greater ease.02:23 — It's important to note that these services are delivered through Foundry, which benefits from a secure, enterprise-ready foundation provided by Microsoft Azure. This enables companies to scale their capabilities securely and compliantly. AI is most powerful and impactful when next-generation models like Claude are paired with infrastructure such as Foundry. Visit Cloud Wars for more.

In this Cloud Wars Special Report, Bob Evans sits down with Mike Sicilia, CEO of Oracle, to discuss Oracle's rise to the number-two position on the Cloud Wars Top 10. Their conversation explores why customers are increasingly gravitating toward Oracle, how AI embedded across infrastructure and applications is accelerating time to value, and why openness, multi-cloud flexibility, and data gravity are reshaping enterprise decision-making.Oracle AI Strategy and ProductsThe Big Themes:AI Built In, Not Bolted On: Oracle's momentum is rooted in embedding AI directly into its database, data platform, infrastructure, and applications rather than layering it on later. This architectural decision enables customers to train models, run inference, and deploy intelligent applications faster and more reliably. AI is foundational across ERP, retail merchandising, healthcare, and industry solutions. By integrating AI at every layer, Oracle reduces friction, accelerates adoption, and delivers immediate business value, helping customers move beyond experimentation into production-scale AI initiatives with confidence and speed.AI Changes Customer Engagement Models: The traditional technology upgrade cycle has been replaced by continuous, iterative innovation. With quarterly Fusion updates delivering hundreds of new AI-enabled features automatically, customers see constant improvements without added cost or disruption. Sicilia noted that AI data platforms and agent-building tools now enable daily innovation.Scale, Responsibility, and Customer Trust: With more than half a trillion dollars in contractual commitments, Oracle's leadership views execution and trust as paramount. Sicilia says that Oracle's decades-long experience running no-fail, mission-critical systems uniquely positions it for the AI Era. Customer success, support, and operational alignment have been restructured around an “AI-first, service-first” mindset.The Big Quote: “Very quick time to value has a lot to do with data gravity, and we are the custodians of the data. We are, in fact, the creators of a lot of the data from our applications.”"More from Oracle:Learn about Oracle and AI or OCI for AI. 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 highlight Oracle's rise to #2 in the Cloud Wars Top 10 rankings, driven by AI-led innovation and rapid cloud growth.Highlights00:06 — Oracle has surged from #3 to #2 in the Cloud Wars Top 10, driven by its focus on data as the foundation for AI innovation. Co-CEOs Mike Sicilia and Clay Magouyrk are leading Oracle during a period of strong momentum, with the company leapfrogging Microsoft in cloud and AI influence.01:27 — Oracle is embedding AI deeply across its entire product portfolio, from cloud infrastructure and applications to databases, rather than adding it on later. This approach is fueling rapid growth and helping customers adopt AI faster, more easily, and at lower cost.02:20 — Oracle's co-CEOs, Mike Sicilia and Clay Magouyrk, face the unprecedented challenge of executing against a $523 billion backlog while continuing to drive innovation and strong customer engagement. Despite being smaller than major competitors, Oracle's rapid AI-driven innovation has enabled it to surpass both AWS and Microsoft in cloud influence.04:19 — The new co-CEOs are balancing rapid innovation with the challenge of executing a massive backlog, including but not limited to the $300 billion OpenAI deal. Drawing on deep internal and cloud infrastructure experience, Sicilia and Magouyrk are positioning Oracle for its next phase of growth.Check out my full interview with Mike Sicilia here. Visit Cloud Wars for more.

In this episode of the AI Agent & Copilot Podcast, John Siefert, President and Founder of AIAC, sits down with Seth Bacon, Director of Innovation at RSM, to explore how organizations can move beyond AI hype and into real, measurable value. Their conversation dives into practical adoption, industry-specific use cases, and what attendees can expect from the 2026 AI Agent & Copilot Summit NA, where real-world outcomes, not proofs of concept, take center stage.Key TakeawaysIndustry-specific use cases: Bacon highlights that outcomes, data sets, and success metrics differ dramatically between sectors like manufacturing, retail, and professional services. By showcasing real industry accelerators, the summit helps attendees see what's possible within their own vertical while also learning from how other industries solve similar problems using the same technologies.Accessible depth for every role: The summit is intentionally designed to support a wide range of maturity levels. Bacon notes that some attendees are just learning how to write better prompts, while others are orchestrating complex, multi-platform agentic systems.The power of in-person connection: While sessions provide structured learning, both speakers agree that the most impactful moments often happen outside the rooms. Bacon emphasizes that hallway conversations, meals, and informal networking create lasting relationships that extend well beyond the event. These connections give attendees trusted peers to call months later when challenges arise, making the summit not just a learning experience, but a long-term support network. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I break down how Google's new Gemini 3 Flash delivers near-real-time AI performance with the speed, scale, and cost efficiency enterprises need as AI moves from Q&A to action.Highlights00:03 — Google has expanded its Gemini 3 model family with the introduction of Gemini 3 Flash, a model designed for speed without sacrificing quality. Gemini 3 Flash enables organizations to process data close to real time, and it's incredibly efficient, combining enhanced speed with better price performance, with this speed comes scalability.00:48 — Ultimately, Gemini 3 Flash enables multimodal processing, which means it can build applications that analyze video and extract data in near real time. Gemini 3 Flash addresses the demand for AI-driven coding and supports the development of more autonomous AI ecosystems at scale, all in a cost effective manner.01:14 — It delivers incredibly low latency, providing near real time experiences, which contrasts with many existing other large language models that often suffer from delays. Speed-optimized models like Gemini 3 Flash are becoming essential as the AI Revolution transitions from the Q&A to one of action.01:40 — Customers now demand capabilities that drive live applications and assist users in real time. This is particularly important considering predicted growth of autonomous AI agents. Now beyond this, as users become more accustomed to AI, they expect multimodality. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I spotlight Thomas Kurian's game-changing customer strategy at Google Cloud.Highlights00:03 — We've got a new number one on the Cloud Wars Top 10. That's Google Cloud. They've leapfrogged Microsoft, and Oracle has moved up to the number two spot, with Microsoft coming in at number three. This is reflective of a very, very different business environment that we're facing here at the beginning of the AI Economy.00:37 — I had the chance to speak with Google Cloud CEO Thomas Kurian. The big point that Kurian made is you've got to understand the customer. But, you've got here a world-class technology company that, before Kurian's arrival in 2019, had as its sole focus: make world-class technology and the world will beat a path to our door.02:15 — As I said, Google Cloud has leapfrogged Microsoft to the number one spot on the Cloud Wars Top 10. The big thing is this customer understanding. And Kurian, in our video interview, describes a number of scenarios across industries, across domains, and how Google Cloud ties that all together for customer success going forward.03:38 — I've had lots of lively discussions with people who believe that because Microsoft and AWS have more revenue than either Google Cloud or Oracle, therefore those are the dominant players. There's market presence on one hand, and then there's this key thing which is: How do you help customers build their futures rather than just perfecting what they've already done in the past?04:15 — And I want to just say congratulations to everyone at Google Cloud for a monumental ascent — from number nine back in 2017, when I started the Cloud Wars Top 10, to number one. And overtaking Microsoft was an extraordinary feat, and that is driven by what customers want, not by internal tech-industry Silicon Valley metrics.Check out my full conversation with Thomas Kurian here. Visit Cloud Wars for more.

Bob Evans sits down with Thomas Kurian, CEO of Google Cloud, following Google Cloud's rise to the #1 position on the Cloud Wars Top 10. Their conversation explores how Google Cloud's customer-first philosophy, deep industry specialization, and long-term AI investments have reshaped its trajectory. Kurian shares how disciplined portfolio choices, partner ecosystems, and applied AI are helping customers innovate for the future rather than reinforce the past.Customer-Led Cloud StrategyThe Big Themes:Customer-Driven Strategy Wins: Google Cloud's ascent to the top spot is rooted in a consistent formula: deeply understanding customer problems and applying technology in distinctive, practical ways. The company's direction has always been shaped by what customers actually need, not internal agendas. This mindset extends across product design, go-to-market execution, and partner alignment. By accepting that only customers can ultimately “say no,” Google Cloud has maintained focus and avoided distractions.Industry Specialization as a Differentiator: Early recognition that industries have fundamentally different needs led Google Cloud to build specialized expertise by vertical. Rather than offering generic solutions, the company invested in industry-aligned product teams, domain-specific capabilities, and tailored go-to-market motions. This approach allows customers to adopt cloud and AI faster, without reinventing best practices.Full-Stack AI, Built Over Time: Google Cloud's AI strategy spans custom silicon (TPUs), infrastructure, models, platforms, and now agents. Kurian says that this wasn't a sudden pivot—it's the result of years of sustained investment, even when AI wasn't fashionable. With Gemini positioned as a leading model, Google Cloud now supports both first-party and third-party models, giving customers flexibility. This layered approach allows enterprises to innovate at their own pace.The Big Quote: “If you want to adopt a technology successfully, you need to pick a few important projects and do them well, rather than spraying on a lot of little projects.”Learn more about Google Cloud and Thomas Kurian:Check out the Google Cloud blog and Thomas Kurian. Visit Cloud Wars for more.

Key TakeawaysOverview: Taylor defines accessibility as the "design and provision of products, services, environments, and information that can be easily used, accessed, and understood by everyone, especially those with disabilities." At its core, it's about creating equitable experiences for all.Accessibility impacts: When noting the impacts of accessibility for organizations and businesses, Taylor explains that it offers ethical, financial, legal, and even SEO-related advantages, highlighting an overlap between accessibility best practices and search optimization. "The more accessible you're making your stuff to humans, the more accessible you're making it to machines.”Understanding the value: Helping companies understand the value of accessibility can take time, so Taylor explains that he approaches it from multiple angles, including the significant legal benefits. By ensuring products and websites comply with laws like the U.S. Rehabilitation Act and the European Accessibility Act, organizations can avoid fines, reduce legal risk, and maintain access to international markets.Accommodations: Workplace accommodations can greatly improve employee morale, productivity, and retention by giving people what they need to do their best work. As Taylor puts it, even simple adjustments can "unlock so much potential” and help organizations avoid the high costs of turnover.Learn more: Taylor describes a new podcast project that aims to educate the community about diverse disabilities while giving people a platform to share their lived experiences. The series will highlight the spectrum of experiences when it launches publicly this month. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I examine Satya Nadella's call to shift AI focus from capabilities to societal contributions.Highlights00:21 — One of the leading voices in the AI Revolution, Microsoft CEO Satya Nadella, has outlined his vision for AI in a blog post. Nadella states that 2026 will be a pivotal year for AI. He says we are now past the initial discovery phase and entering a phase of widespread diffusion. Now is the time to hone in on real-world impact, to emphasize what needs to be done.01:10 — Nadella focuses on three areas that require more attention. First, he suggests that we should move beyond the notion of AI slop versus AI sophistication. Instead, we need to view AI capabilities as, and I quote, “scaffolding for human potential,” rather than a substitute.01:40 — Secondly, Nadella explains that we need to develop more sophisticated engineering that shifts the focus from specific AI models to broader systems. This involves orchestrating multimodal architectures and, crucially, implementing agents. Finally, Nadella emphasizes that for AI to gain social acceptance, these systems must be evaluated based on their real-world impact.02:10 — This statement is Nadella's most explicit reference to how Microsoft has positioned itself, particularly through the strong statements made by Microsoft AI CEO, Mustafa Suleyman, regarding the company's commitment to human-centered AI. It's very encouraging to see this sentiment reinforced by leadership. Visit Cloud Wars for more.

Bob Evans, Founder of Cloud Wars, joins John Siefert, CEO, Cloud Wars and Dynamic Communities, to unpack one of the most dramatic reshuffles in the history of the Cloud Wars Top 10. Together, they explore what Bob calls “tectonic shifts” as Google Cloud rises to number one, Oracle surges to number two, and Microsoft slips to third. The conversation goes well beyond rankings, diving into AI platforms, enterprise outcomes, customer-driven innovation, and why growth, not size alone, defines cloud leadership heading into 2026.A New Cloud OrderThe Big Themes:Growth Transparency Matters: IBM's exit from the Top 10 underscores a critical principle — financial transparency is essential when growth is a core ranking metric. While IBM's leadership and strategy is worthy of praise, the lack of disclosed cloud performance data makes objective evaluation impossible. The Cloud Wars Top 10 prioritizes measurable momentum that reflects customer demand.AWS Reflects the Past, Not the Future: AWS's drop to number seven does not reflect failure but rather strategic timing. While AWS continues to perform well financially, its narrative is more aligned with the cloud's past than its AI-driven future. In contrast, competitors are redefining platforms around agents, inference, and AI-native architectures. The Cloud Wars rankings reward forward momentum, and AWS now faces pressure to reassert innovation leadership rather than rely on historical dominance.The AI Platform Battle Is Escalating: A central theme is the race to become the trusted AI platform. ServiceNow and Palantir are the most explicit contenders, while Google Cloud closely follows. Customers want AI platforms that integrate existing systems, deliver fast outcomes, and scale securely. The winners will be those who enable co-creation, not just consumption, as enterprises build AI capabilities tailored to their specific needs.The Big Quote: "For a while we talked about the hyperscalers as if they're all very homogeneous, all exactly the same, just different variations on a theme. I think what the new Cloud Wars Top 10 reflects is that is not the case at all."More about the Top 10 Shifts:Check out the updated Cloud Wars Top 10 List. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore the massive reshuffle in the Cloud Wars Top 10 driven by the rise of AI-first strategies. Later this morning, I'll expand upon these themes in a second fireside chat with my CEO, John Siefert, specifically focusing on numbers four through ten on the list.Highlights00:03 — We've got more big changes going on in the Cloud Wars Top 10. SAP moves up to number four. Palantir rockets from number 10 to number five. AWS tumbles from number four to number seven, and OpenAI makes its debut on the Cloud Wars Top 10 at number 10.00:37 — So, SAP's got 25% consistent growth for the past couple of years. Clearly, customers are voting for SAP as they move aggressively into agents. Palantir is intensely disruptive, but not just in technology and not just to be different. It feels that today's move — the evolution from this into the AI economy — requires new types of technology.01:46 — In Q3, the last quarter for which Palantir has reported numbers, revenue grew at a remarkable 63% to almost 1.2 billion during that Q3. The number of salespeople that Palantir has actually went down. So, it's finding new ways to engage with customers. AWS started off as number one. It's still a great company, but “great company” is no longer good enough.02:45 — They are not, though, being the leaders — the agenda setters. That has slipped over to Google Cloud; Oracle has taken that away. So, they are the big leaders here, as AWS goes from number four to number seven. OpenAI makes its debut in the Cloud Wars Top 10, as they have now much more than the ChatGPT phenomenon from three years and three months ago.03:49 — Got lots of people now, and certainly Palantir, saying, “Hey, we're an AI platform company as well.” The whole premise for the last nine years of the Cloud Wars Top 10 is tech vendors are now able make their own internal operations, product development, how they engage, who they partner with, how they go to market, tied very tightly to the directions that customers want to go.04:19 — In the old days, the tech vendor sat back, said, “I'm going to make my server 2% faster and 3% less expensive than theirs,” and expected, you know, the world to beat a path to their door. No longer the case. Now, it's the tech companies that have to respond incredibly fast and incredibly decisively and effectively to the new directions that customers are heading in. Visit Cloud Wars for more.

Bob Evans sits down with John Siefert to unveil major shifts in the Cloud Wars Top 10 rankings in this first of a two-episode series. The discussion centers on why Google Cloud now claims the number-one position, Oracle surges to number two, and Microsoft slides to number three after a historic run. Evans explains how customer empathy, ecosystem strength, security posture, leadership vision, and forward-looking execution — not just financial performance — drive the rankings.The Big Themes:The Cloud Wars Top 10 Is Holistic: The Cloud Wars Top 10 is intentionally designed to move beyond narrow metrics like revenue or technical benchmarks. As Bob Evans explains, the rankings reflect an amalgam of financial performance, innovation velocity, ecosystem maturity, leadership vision, and customer impact. This outside-in methodology evaluates how well vendors understand where customers are today and how effectively they help them move forward.Google Cloud's Rise Reflects Customer Empathy: Google Cloud's move from number two to number one reflects a long-term transformation rather than a sudden spike. Evans highlights how Google Cloud evolved from a technology-first organization disconnected from enterprise realities into a customer-centric platform under Thomas Kurian's leadership. Empathy for customers' existing environments, focus on sovereignty, security, compliance, and open ecosystems enabled Google Cloud to convert its technical strengths into market leadership and sustained growth.Oracle's Momentum Is About the Future: Oracle's move into the number two spot is driven by its success winning new, forward-looking business — particularly AI-driven workloads. Evans points to Oracle's Remaining Performance Obligation (RPO) growth and aggressive go-to-market innovation. Oracle's willingness to finance cloud expansion differently is framed not as weakness, but as strategic differentiation. Leadership continuity, operational experience, and a clear vision for AI infrastructure and data-centric cloud services are fueling Oracle's ascent.The Big Quote: “Nobody owns first place. You just rent it, and that lease can be pulled at any time if somebody else is doing a better job.”Stay tuned for the second episode on Cloud Wars Top 10 shifts, coming tomorrow.More about the Top 10 Shifts:Check out the updated Cloud Wars Top 10 List. Visit Cloud Wars for more.

In this episode of the AI Agent & Copilot Podcast, host Giuseppe Ianni, Cloud Wars Analyst and thought leader, sits down with Bob McAdam, Head of Strategic Partnerships at Tasklet and a Programming Committee member for the 2026 AI Agent & Copilot Summit NA. Together, they explore how AI has evolved from hype to hands-on reality, what attendees can expect at this year's summit, and why practical, ERP-focused use cases are now top of mind for partners and end users alike.Key TakeawaysFrom Talk to Tangible Value: AI conversations have evolved rapidly over the past year, and McAdam emphasizes that organizations are now demanding proof of value. Businesses no longer want abstract discussions about Copilots—they want to see how agents improve ERP workflows, automate repetitive tasks, and drive measurable efficiency. This shift reflects a broader maturity in the market, where curiosity has turned into expectation.Session Selection Beyond the Buzzwords: As a Programming Committee member, McAdam looks for sessions that go deeper than hype. He values speakers who bring specificity—manufacturing, distribution, documentation, or customer service—rather than generic AI narratives. Even “unsexy” topics like process documentation earn a place because of their real-world importance.AI as a Career Accelerator: The conversation highlights that AI adoption isn't just about company transformation—it's also about individual growth. Many attendees come to the summit to build personal competitive advantage, learning skills and mental models they can apply immediately. Experimenting with AI in personal workflows often becomes the gateway to professional adoption. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I break down why Google Cloud now tops the Cloud Wars Top 10.Highlights00:08 — This week we have named Google Cloud as the new number one company on the Cloud Wars Top 10. Oracle has risen to number two. Microsoft slides down to number three. Microsoft's held that top spot for four years. It's three times bigger than Google Cloud, but there's much more that goes into the Cloud Wars Top 10 than size alone.01:30 — We've got coming up a video with John Siefert, our CEO, and also a detailed article that looks at a lot of the key indicators behind Google Cloud's rise, points to some of the challenges Microsoft has faced, and also mentions how Oracle, too, has moved up here because it is doing more of what customers need to be successful in the AI Economy.02:06 — Thomas Kurian has just done a phenomenal job. When Kurian started, he said, “I need to triple the size of our sales organization.” So, while Google Cloud's always had great technology, its connection to customers and its way of engaging with customers was something that Kurian pretty much had to build from scratch.02:57 — I think Microsoft's cloud revenues, relative to Oracle, are seven times bigger, but it's more than that. Who's leading the innovation agenda? Who is taking these new ideas forward? Who is helping customers adapt quickly, transform quickly, and become the sort of companies they're going to need to be to succeed and win in the AI Economy?03:46 — When I started, a lot of people said, “You can't compare an infrastructure company to an applications company.” I said, “Sure, I can.” I felt that often these lists of who the leaders are in different markets or categories were driven by Silicon Valley, inside-the-industry perspectives. Here, I've tried to take a look at it for these nine years from the point of view of customers.04:24 — And I think in this case, regardless of the size differential, Google Cloud is doing more on both cloud and AI. I think about what Oracle's done to be able to come up to number two. A handful of years ago, Oracle said, “We're going full force into the cloud infrastructure business. We're going to become a hyperscaler.” Many so-called experts said that's crazy.05:01 — Yet, Oracle has built a huge and fast-growing business out of that. Okay, again, going back a handful of years, there were people who said AWS is the number one company. It's the king of the cloud. Nobody will ever be able to touch it or displace it. Well, Microsoft did that. Nobody owns first place. It's a temporary lease.06:03 — It's now Google Cloud, Oracle, Microsoft as the top three companies. We'll give you lots more details on who's in the number four through number ten spots going forward over the next week or two, and then within that and going forward, deeper analyses of each company and where they stand. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at the continued strength of the Microsoft–OpenAI partnership, despite past tensions, through the launch of GPT-5.2.Highlights00:12 — Microsoft has announced the general availability of OpenAI's GPT-5.2 in Microsoft Foundry. It stated that introducing a new frontier model series, purposefully built to meet the needs of enterprise developers and technical leaders, is setting a new standard for a new era.00:39 — The GPT-5.2 series boasts deeper logical reasoning, richer context handling, and better execution for agentic AI tasks. The GPT-5.2 series' advanced reasoning means that it takes less effort to achieve more, all the while providing better safety and guardrails. Microsoft is pushing the adoption of the GPT-5.2 series as a way for developers to supercharge their agentic AI efforts.01:35 — A few months ago, when it seemed that the relationship between OpenAI and Microsoft was deteriorating, it would have been a significant setback if the company's models weren't continually integrated into the Microsoft developer ecosystem. However, that has not been the case, which is a testament to the continued collaborative nature of the AI Revolution. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I connect the dots between tech disruption and retail transformation.Highlights00:15 — We see now the true emergence from what I've called for a long time the AI Revolution, now into the AI Economy. NVIDIA, with a strategic partnership with Mercedes-Benz, is not just Mercedes-Benz using a little bit of NVIDIA's software inside its new cars. It's calling it an AI-driven car. Google then also stepped outside of the tech industry to buy an energy firm.01:15 — Could it be the merging of the energy and the tech industries here to provide the power behind AI? Next week there'll be the giant National Retail Federation show. I suspect that, you know, 80 or 90% of the announcements there will be about new technology and AI and cloud being used to revolutionize and further stimulate innovation and growth in the retail sector.03:31 — So I think what we'll see here throughout 2026 — it's been a busy first week or so in here — we're going to see the entire global economy rocked by these changes, as AI is infused into every facet of what businesses are doing, and the AI providers and cloud providers begin to move laterally and, in some cases, aggressively into different markets here.04:30 — We've seen the pace of these massive, disruptive revolutions — upheavals in business cycles — go from, you know, centuries to decades to years. And to the leadership — not only in the tech companies that I cover, but in their customers — has to be one where, you know, the enemy here is time. There's no chance to sit back, play it safe, wait and see what my competitors do.05:06 — They'll get the first-mover status, but I'll come in with a smarter approach. I just — I think those days are over. We've got a long article coming up about this on CloudWars.com that goes into more detail and offers lots of examples of what I've touched on here today. 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 of Cloud Wars Live, Bonnie and Bob explore why AI success hinges far more on implementation than hype. As the AI economy moves from experimentation to everyday business reality, Bonnie shares research-backed insights from hundreds of enterprise HR projects showing that poorly executed implementations quietly derail AI value.Episode 57 | Implementation Before IntelligenceThe Big Themes:Implementation Determines AI Value: AI success is not driven by algorithms alone — it is directly tied to the quality of enterprise software implementation. Analysis of 500 HR projects shows a strong correlation between implementation effectiveness and AI-driven business outcomes. Organizations with successful implementations realized nearly twice the value from AI initiatives compared to those with partial or failed rollouts.Data Readiness Is the Biggest Barrier: The most common reason AI initiatives fail is insufficient data maturity. Clean, standardized, and integrated datasets — particularly across HR, finance, and operations — are essential. Disparities between systems like payroll, talent management, and time tracking undermine AI effectiveness. Enterprises with unified data architectures unlock far greater AI value because insights can flow across the business, enabling agents and analytics to operate holistically rather than in silos.Process Discipline Is Rewarded: AI rewards disciplined organizations and punishes undisciplined ones. Well-defined workflows, governance structures, and operational rigor enable AI to perform as intended. Without them, AI exposes inefficiencies and compounds chaos. This explains why AI often “fails” during implementation rather than in production. The technology is rarely the issue, organizational readiness is. AI simply shines a spotlight on how well the business actually runs.The Big Quote: “AI does not replace process discipline. It rewards it."More from Bonnie Tinder:Connect with Bonnie on LinkedIn. Visit Cloud Wars for more.

Key TakeawaysAdoption approach: Successful adoption of AI requires not only technical implementation but also strong data governance, strategic initiatives, and enterprise-level practices, explains Simms. While there is great potential across business solutions, challenges like hallucinations and poor adoption highlight the need for structured approaches and diverse expertise.Session selection: As a member of the Programming Committee Board, Simms explained his thinking behind evaluating session submissions. When reviewing session proposals, he looked for submissions that addressed essential issues for the data platform and went beyond technology alone to include governance, change management, and user adoption.Adapating with new tech: Technology evolves in 2–3 year cycles, notes Simms, making continuous skill updates essential, but AI highlights underlying data and process issues that can no longer be hidden. Success requires a solid foundation, strategic vision, clear requirements, and fixing data quality at the source to ensure use cases deliver meaningful results.Final thoughts: In closing, Simms expresses his excitement for the event and encourages attendees to participate in the Golf Invitational. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at why private-data inferencing may be the next trillion-dollar AI marketHighlights00:28 — Larry Ellison's grand AI plan for 2026 is centered on the holy grail for CEOs, boards of directors, and business leaders. They're looking to unlock the power of all their data for AI reasoning and inferencing. Oracle's promise is that Oracle's solutions are going to allow companies to be able to reason and do inferencing on all of their private data, and to do so very securely.01:24 — Here are the pieces that he said are going to come together for this: the existing Oracle databases and all the data that's in them plus now the new Oracle AI Database. They've got their Oracle Applications, Oracle Cloud Infrastructure. All of those pieces are coming together.02:59 — We've all heard about training AI models. He said that is a spectacularly huge and fast-growing business. But, he said, when you then take that away from training the models and get it into the corporate world, to be able to do the reasoning over and inferencing on private corporate data, he said that's an even bigger market than training AI models.03:24 — And he said Oracle is going to be right in the thick of these two — the largest and fastest-growing markets in history — now in the Cloud Wars. Oracle, I believe, has taken the lead position in saying, “We cannot just outline it and describe it. We can do it. We can deliver it, and we can do that now.” This is where Ellison has helped to distinguish Oracle from all other competitors.04:08 — He's done this for the last half century, and I think at this point, with some of the different pieces he's put together, we've got to position Oracle as the leader — at least right now — in enabling the fulfilment of this Holy Grail, where companies are able to unlock and unleash the power of all of their data for AI applications and AI purposes, leading the way into the AI economy. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I share how big tech and Edtech are aligning to meet the challenges of rapid change.Highlights00:03 — IBM and Pearson have announced a partnership to create personalized learning products powered by AI. These products are designed for a wide range of businesses, public organizations, and educational institutions. Pearson aims to utilize watsonx Orchestrate and watsonx Governance to develop these products. Additionally, IBM will create a custom AI-powered learning platform.00:47 —Moreover, IBM will also deliver Pearson solutions to its customers and employees. The two companies are also exploring tools to help verify the capabilities of AI agents. Omar Abbosh, CEO of Pearson, explained that, together with IBM, the company was building trusted AI-powered learning tools that will help people and organizations thrive in a world of constant change.01:36 — This is a great example of the flexibility and multifaceted nature of the AI Era, where companies form strategic partnerships not only to get a product out there and to market, but also to share expertise on new tools and systems. These collaborations help boost understanding and adoption of AI Visit Cloud Wars for more.

Key TakeawaysReflections: Grant reflects on last year's AI Agent & Copilot Summit, acknowledging the in-depth learning opportunities given the newness of AI at the time. Although it was the first year, he says it "felt like a really mature conference." The upcoming AI Agent & Copilot Summit can enable attendees to dig deeper into "how we actually accomplish things as a business, as an organization, and even as individuals.Session considerations: Looking forward to the event in March, Grant is excited to attend various sessions. He finds sessions on Microsoft products interesting as well as sessions that provide an individual point of view. "I'll look at the content of a session, but I look almost equally as much at the speaker to think about, 'What is this person like? What's their perspective in the world and on business? And how are they using this in a way that other people aren't yet?' I think that's where we start hitting and tapping on innovation."Learning from insights: AI Agent & Copilot Summit speakers come to the event prepared to share their experiences and expertise with attendees. Grant outlines what topics attendees might expect and what sessions he submitted to speak at the event. "The world is changing by the minute, and I think it's important for us to go into this eyes wide open and think about what we're doing right and how we're doing it. It matters," he states. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore what ServiceNow's potential $7B acquisition of Armis could mean for its cybersecurity strategy and its customers.Highlights00:06 — According to recent reports, ServiceNow is in advanced talks to acquire Armis, with more details expected to be announced in the coming days. Coverage from Bloomberg suggests that the deal could be worth up to $7 billion. I want to discuss what the introduction of Armis to the ServiceNow ecosystem could mean for customers.00:34 — Armis is a cyber exposure management and security company. The company's technology protects the integrity of an organization's attack surface and manages cyber risk exposure in real time. The company's flagship platform, Armis Centrix, is an AI-enhanced, cloud-native security solution that monitors an organization's digital attack surface.01:07 — If this deal goes ahead at the reported price, it would be by far the largest acquisition in ServiceNow's history. The addition of AI-enhanced cybersecurity tools that not only consistently monitor but also provide real-time priority protection would significantly boost ServiceNow's existing security capabilities.  Visit Cloud Wars for more.

Key TakeawaysAI use cases: At Insight Works, Hamblin explains that AI is leveraged in three main ways: to enhance internal business process development, to create higher-quality marketing content, and to enhance product offerings.Product specifics: Hamblin shares how AI is streamlining Shop Floor Insight, a product of Insight Works, by automating labor time validation, eliminating the need for supervisors to manually review time cards through exception-based logic and rules. Further, AI and agents are enhancing production scheduling by analyzing millions of decision points, identifying issues, and providing real-time insights or alerts, paving the way for innovative, user-driven automation through tools like the Agent Playground.Adoption: Hamblin notes the mixed reactions to AI adoption. While AI can rapidly deliver solutions, such as building a container management system in hours, it ultimately enables employees to focus on higher-value work, helping businesses scale without increasing headcount. However, AI-related change management can be complex, as capabilities evolve dramatically within months and future advancements are unpredictable. This uncertainty poses challenges for change management.AI advancement: Now, AI excels at processing large datasets and answering natural language queries, and its capabilities have advanced dramatically compared to a few years ago. Previously, it could build applications like a WMS mobile app in minutes, but today's technology is far more powerful and sophisticated. Visit Cloud Wars for more.

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In today's Cloud Wars Minute, I want to wish everybody a Merry Christmas, Happy Holidays, and an incredible New Year.Highlights00:02 — This is the best time of the year, the holidays. We want to say Merry Christmas and Happy Holidays. Happy New Year to everybody. This is my special partner, Louisa. She's two and a half. She's quite the technologist.00:40 — So, hey, everybody, I just want to say it is a blast being a little part of your technology lives. We have enjoyed this year so much. We are having lots of fun with Cloud Wars. Louisa's got to go. She's got big things to do. Merry Christmas. Happy Holidays. Happy New Year to you. Visit Cloud Wars for more.

today's Cloud Wars Minute, I unpack how tech and mindset together will decide the winners in the 2026 AI economy.Highlights00:31 — Google Cloud, has just had a pretty interesting engagement with BNY Mellon. BNY used to be called Bank of New York, merged with Mellon — a massive financial services organization — and they've got what I think is a brilliant AI strategy. It's simply: “AI for everyone, everywhere, everything."01:24 — BNY has chosen to take Gemini Enterprise and adapt it into BNY's own sort of home-built AI platform called Eliza. And again, as I noted here, a big part of BNY's mindset on this — their approach to it — is to say: everybody in the organization now has access to the Eliza platform, and now with Gemini Enterprise as well.02:40 — Now, this is something that Google Cloud CTO Will Grannis and I recently discussed on a podcast episode. Fascinating comments from Will — we've got a lot of that covered in a detailed article that will be posted later this morning on this whole BNY–Google Cloud collaboration.03:19 — Will said, look: you can make two lists. On one side, there's a list of companies that succeeded with AI in spite of their culture. He said the other list is companies that succeeded with AI because of their culture. And he said one of those lists will be empty. Guess which one that'll be?04:07 — I think that's going to be one of the big issues and stories going into 2026. The companies that are going to win in the AI economy are going to be ones that are able to master that duality of both the technology and the culture/mindset thing. It has been a fun year here in the Cloud Wars, and we've got more coming up tomorrow — a special Christmas episode of Cloud Wars Minute. Visit Cloud Wars for more.

In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities and Cloud Wars, is joined by AJ Ansari, Microsoft MVP and member of the programming committee for the AI Agent & Copilot Summit. The conversation focuses on what enterprises should really be looking for as agentic AI adoption matures.Key TakeawaysReal-world stories over hype: As interest in agentic AI surges, Ansari notes a sharp increase in speaker submissions driven by practitioners who have moved beyond experimentation. The most valuable content, he explains, comes from organizations that have tried, failed, learned, and succeeded—particularly those using AI to tackle concrete business challenges like efficiency, productivity, and margin pressure. Those real-world stories are “worth the price of admission,” he says.Practical impact and ROI: While aspirational innovation has its place, conference attendees want takeaways they can actually apply. According to Ansari, the best sessions balance vision with execution—so attendees leave knowing not just what's possible, but how their investment in agentic AI will translate into measurable business outcomes.Clarity before AI: One standout insight is Ansari's “Clarity Method,” which urges organizations to step back before defaulting to AI. Not every problem requires agents or copilots. Some can be solved through process changes, automation, or application updates. AI should be applied deliberately, once it's clear it's the best solution, not just the newest one.What to expect at the AI Agent & Copilot Summit: The upcoming AI Agent & Copilot Summit emphasizes an intimate, peer-driven experience with a mix of main-stage discussions and deep-dive master classes. Expect practical guidance, candid discussions about risks and security, and a community willing to “pull back the curtain” and share lessons learned, because, as Ansari puts it, this isn't a zero-sum game.Maximizing the conference experience: Ansari encourages attendees to plan ahead: identify must-see sessions, leave room for serendipity, and prioritize networking. “Come with an appetite to learn,” he advises, noting that some of the most valuable insights emerge from hallway conversations and peer exchanges. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at how Google Cloud is reshaping the defense tech landscape.Highlights00:04 — Google Cloud has announced a multi-million dollar contract with the NATO Communication and Information Agency (NCIA), to provide critical sovereign cloud capabilities.This new strategic partnership aims to enhance NATO's digital infrastructure.The NCIA will utilize Google Distributed Cloud, or GDC, to support its Joint Analysis, Training, and Education Center, or JATEC.00:39 — One of the key features it will employ is Google Distributed Cloud (GDC) Air-Gapped, which is an essential component of Google's sovereign cloud solutions. The feature allows the delivery of cloud services and AI capabilities to disconnected, fully secure environments.00:56 —Tara Brady, President of Google Cloud EMEA, said the following: ". . . This partnership will enable NATO to decisively accelerate its digital modernization efforts while maintaining the highest levels of security and digital sovereignty."01:38 — For Google Cloud, this development represents significant progress in expanding its presence within the defense industry, a sector long led by AWS and Microsoft. It also emphasizes growing confidence in Google's sovereign cloud offerings and highlights the increasingly complex and competitive nature of the cloud market. Visit Cloud Wars for more.

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In today's Cloud Wars Minute, I break down the latest earnings results showing Oracle and Google Cloud surging into a tie for the #2 fastest-growing cloud vendors in the world's greatest growth market.Highlights00:13 — Two companies that are really pushing the boundaries here in the greatest growth market the world has ever known are Oracle and Google Cloud. Recently, Oracle pulled into a tie with Google Cloud for the second spot, number two spot on the fastest growing major cloud vendors list that is topped by number one, Palantir.00:41 — Nine of the 10 companies break out their cloud earnings. IBM does not for reasons I cannot fathom, but of the nine that do, five saw their growth rates accelerate in the most recent quarter, four of them saw declines, but only by one point. So for these, levels of growth are being sustained, strong customer demand, belief in the transformative power of what's going on with AI in the cloud.02:13 — Overall, we see lots of momentum here, across the board all the different sorts of products and services offered by the different Cloud Wars Top 10 companies and we saw Oracle make the biggest jump here, other than Palantir, Oracle went from 28% to 34%. So, it and Google Cloud: I've been making the case for the last 12-15 months that they're the most disruptive of the four hyperscalers.02:43 — They're coming out with new sorts of technologies, new ways of helping to push AI forward and definitely new go to market approaches. The partnership programs they have are also quite striking. So, going into the new year, those are going to be two companies really to watch. I think Microsoft's doing a good job on a very broad basis.03:03 — AWS has some has some work to do. It's just not been performing at the rate, especially when we look at future revenue growth as we see through the RPO numbers — talked about that some in yesterday's episode. Anyway, lively group here. When we say the greatest growth market world has ever known, I think these numbers continue to bear that out. Visit Cloud Wars for more.

Key TakeawaysSummit expectations: With so many people dipping their toes into the AI, Copilot, and agentic capabilities of Microsoft, Nancie expects the AI Agent & Copilot Summit to be filled with exciting stories about the outcomes and how people are leveraging and benefiting from it. She also anticipates seeing more exploratory customer case studies demonstrating the shift from conversational Copilot side to the agentic side. "I'm expecting to see much more of that understanding, how to use the full capability of the agentic feature."Selecting speakers: As part of the AI Agent & Copilot Summit Programming Committee Board, Nancie has been involved with selecting sessions for the event. She considers criteria for sessions, such as applying real-world use cases, demonstrating outcomes, and providing clarity on how organizations are benefiting. "It's less about the fear of 'How do I use this?' We should be able to see a good balance between business and technical perspectives," and how to launch safely, she shares.Moving forward in confidence: Those who attend the AI Agent & Copilot Summit will be able to move forward in adopting the technology in confidence and understanding the path to success. It's important to look at the holistic process so the end customers understand all the features available to update business processes as well as be able to work in a co-creation, collaborative way.AI impact: Attendees can gain guidance at the event on applying AI within their own careers, as it can add a competitive edge not only to businesses but also at the career level. Individuals can reflect on how AI will impact professional roles and leadership. The event provides a space to consider what career paths look like in the age of AI. "I see this event as an opportunity for people not just to attend sessions but to collaborate and talk with others who are attending so that they can learn from each other and network with each other, and just build their careers." Visit Cloud Wars for more.

In today's Cloud Wars Minute, I cover Oracle's Q2 results.Highlights00:19 — One of the hottest Cloud Wars Top 10 companies right now is Oracle. And I want to talk today a little bit about Oracle's Q2 results from last week. I think there's been a little bit of the fog of war, the fog of AI war specifically here, that has obscured the impact behind what's really going on with Oracle's numbers.01:06 — Let's look at Oracle's RPO (remaining performance obligation) results from Q2. RPO rose 433% to $523 billion. Far bigger than any RPO any other company has in the last three months, due in large part to deals with NVIDIA, Meta, and others not named. These are hard and fast numbers about where Oracle's business is headed in the future02:36 — What's going on elsewhere? The biggest cloud vendor in the world, Microsoft, its most recent RPO numbers went up 51% to $392 billion. Those are remarkable numbers. Looking forward, customers around AI and cloud are giving far more of their contracted future business to Oracle than to Microsoft.04:06 — Oracle's OCI cloud business is bigger than its applications business. Its Autonomous Database revenue rose 40%, and its multi-cloud business is up 817%. That number is a little misleading, because the business is relatively new, but I don't know anybody out there who would not want to have businesses growing at 817%.04:45 — I've been focusing a lot on RPOs for the last two and a half years or so. It's a great indicator of where customers are committing their money for the future. These big contracts that have signed are going into the past. Nothing wrong with that, but that reflects where the money in the past has gone. RPO is showing the future. Visit Cloud Wars for more.

In today's Cloud Wars Agent & Copilot Minute, I explore Microsoft's addition of Mistral Large 3 to its Foundry platform and why it's a major win for developers seeking open, enterprise-ready AI models.Highlights00:11 —Microsoft Foundry is a platform from Microsoft, designed for building, customizing, and deploying GenAI applications and agents. It allows users to access over 11,000 models. Recently, Microsoft added a new model to its offerings, Mistral Large 3. Microsoft claims it to be one of the strongest open-weight, Apache-licensed frontier models available on the Microsoft cloud.00:53 — An open-weight model is similar to an open-source model, but with some differences. In an open-weight AI model, the parameters used to train the model are publicly available, not just for use or viewing, but also for downloading and modifying. More developers are turning to these models because they offer flexibility.01:40 — Mistral Large 3 is one of the world's leading open models optimized for enterprise applications. It excels in instruction following, long-context comprehension and retention, multimodal reasoning, predictable performance, and applied reasoning. Unlike its closest competitors, Mistral Large 3 is fully open, with Apache 2.0 licensing.02:08 — Each new model is carefully selected. It's not just a free-for-all. With Foundry, Microsoft is demonstrating its expertise in the space by keenly understanding what developers want—in this case, an open model with real-world enterprise applications. The pace of AI development is such that even incremental changes and improvements dramatically impact how businesses operate. Visit Cloud Wars for more.

Sales, and Matt Hobbs, Cloud Engineering and Data Analytics Platform Leader and Partner at PwC US. Together, they explore how companies can stop overpaying for cloud and instead fund AI innovation by shifting spend from legacy and suboptimal cloud deployments into modern architectures, multi-cloud strategies, and enterprise-grade AI capabilities that actually move the needle on growth, margin, and new business models.Smarter Cloud, Bigger AIThe Big Themes:Built to Cost Less: Oracle entered the cloud market later and designed OCI from the “bare metal up” with off-box virtualization, a low-latency non-blocking network, and significantly lower egress pricing. That means Oracle's own cost to deliver infrastructure is structurally lower, so they don't need to “race to zero” with margin-crushing discounts. When customers compare OCI run-rates to first-generation hyperscalers, it's common to see 40–70% savings at list-to-net, not just in special deals.Turning Technical Debt Into Innovation Budget: Hobbs notes that roughly 40% of internal tech budgets are often tied up in technical debt rather than innovation. PwC sees executives searching for ways to unlock capital for AI and growth initiatives, not just trim expenses. Its “Fit for Growth” program looks at where money is tied up in non-differentiating costs (cloud infrastructure being one of the biggest line items) and reallocates that spend into value-creating initiatives. When PwC runs side-by-side economics, they've seen OCI's promised 40–70% savings show up in real deals.OCI + PwC: budget creation meets execution: The Oracle–PwC collaboration stands out, the guests argue, because both sides are relentlessly focused on the client outcome rather than maximizing any one platform. PwC validates OCI's economics and brings the talent to design and execute migrations, process re-invention, and agentic AI programs; Oracle brings a cost-efficient, multi-cloud-friendly infrastructure designed for price-performance and portability.The Big Quote: “You can burn a lot of money chasing ghosts in this game if you really don't have a very specific use case." 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 discuss why culture, mindset, and leadership matter just as much as technology in driving AI transformation, based off my conversation with Will Grannis, CTO, Google Cloud. Highlights00:30 — Will has been the Chief Technology Officer at Google Cloud, one of the world's most advanced technology companies, for almost a decade. So Will's perspectives on things are pretty powerful, especially in this notion of how corporations unlock the power of AI to drive great outcomes for those companies and their customers or their patients or their stakeholders.01:10 — One of the first things that Will talked about is the big AI unlock. He said you've got to start with thinking about putting the customer at the center of everything, and then build back, build out from there. So reverse-engineer what has to change inside the organization to ensure that the customer outcomes, the customer experience, the customer value, are at the center.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 02:27 — He talked a lot about the mindset. One customer example was recently BNY Mellon. BNY Mellon has added Gemini Enterprise for its Eliza AI platform, and that is being used now. The Chief Data and AI Officer at BNY Mellon said our AI strategy in the company is simple. He said it's AI for everyone, AI everywhere, and AI for everything.03:19 — He said this is something that's enabled them now to do more things for their customers. It allows their internal people to be much more productive, be more expansive in their analysis, so that they can provide greater value to their customers. Will said it's been a huge change at the company.04:06 — So again, I hope you have a chance to check out the whole interview with Will Grannis, the Chief Technology Officer at Google Cloud. You can see it in the links here. Will's a terrific guy. One of the things you'll see here is he offers some pretty honest and candid assessments about challenges he himself has faced as the CTO at Google Cloud, and very candidly explains how he got around those. Visit Cloud Wars for more.

Bob Evans sits down with Will Grannis, Chief Technology Officer at Google Cloud, to unpack how AI is reshaping both technology stacks and corporate culture. They explore Google Cloud's Gemini Enterprise platform, the newly upgraded Gemini 3 models, and the rise of agentic AI. Along the way, Will shares customer stories from industries like finance, healthcare, retail, and travel, and even talks about how his own team had to change its habits to benefit from AI.Inside Google Cloud's Agentic AI The Big Themes:Models vs. Platforms in the AI Stack: Grannis draws a sharp distinction between AI models like Gemini and the broader platforms that operationalize them. Models determine how intelligent and capable AI workflows are “out of the box,” across tasks like reasoning, multimodal understanding, and conversation. Platforms, by contrast, are how a business injects its own data, processes, and rules to build differentiated IP, brand experiences, and competitive moats. In practice, that means thinking beyond a single chatbot to agentic workflows composed of models, data, tools, and multiple agents working together.Culture and Discipline: Grannis describes how even his own team initially struggled to build an internal ops agent to automate sprint reviews, status updates, and reminders. It was only after leadership pushed them to be an exemplar that the agent became reliable and valuable. Things as simple as putting status information in the same place on every slide suddenly mattered. The lesson: AI exposes hidden process chaos. To get leverage from agents, organizations must tighten their operating discipline and be willing to change how they work, not just bolt AI onto old habits.Rethinking ROI and Metrics: Traditional, siloed ROI metrics can kill transformational AI efforts before they start. Grannis cites research about AI projects dying at proof-of-concept stage and contrasts that with companies like Verizon, which used AI in the contact center to simultaneously lift revenue, reduce cost, and improve customer satisfaction by turning support calls into sales moments. Instead of chasing a single metric in isolation, he advocates for “bundles” of outcomes anchored in customer experience.The Big Quote: “We had to be more disciplined about how we conducted our own work. And once we did that, AI's effectiveness went way up, and then we got the leverage.”More from Will Grannis and Google Cloud:Connect with Will Grannis on LinkedIn or learn about Gemini Enterprise. Visit Cloud Wars for more.

Key TakeawaysMullican expresses the value of the event, and given that AI and Copilot have matured, the sessions at the 2025 AI Agent & Copilot Summit NA will shift from a focus on experimentation to practical applications that deliver real impact.As a returning Programming Committee Board member, Mullican highlights the "unprecedented number of submissions this time around,” making it tough to choose sessions for 2025. The event will offer a mix of visionary talks, practical use cases, and deep dives to serve both tech and business audiences.Mullican shares how business leaders can use the event to "adapt to a new reality," as it aims to “cut through the hype” around AI and focus on practical realities. Even though AI offers transformative potential, most businesses will adopt it gradually, using tools like copilots to improve efficiency rather than undergoing radical overnight changes. "I expect that there's going to be a lot of discussion about. It's just these different layers, these different levels of AI hype and truth." Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at how IBM and Cisco are teaming up to pioneer long-distance quantum networks.Highlights00:03 — Although not the only company invested in the development of quantum computing, IBM is certainly considered the most active. The company has the highest number of patents, a clear road map for fault tolerant quantum systems, and the most prestigious track record across quantum hardware, software and the commercialization of these tools.00:28 — Now, IBM and Cisco Systems have revealed plans to link a network of quantum computers over long distances — and the result, perhaps the introduction of the quantum internet. Before I get carried away on this, leaders from both IBM and Cisco have confirmed that the technology to power these networks doesn't yet exist, but they are working on it.00:59 — The bottleneck is getting qubits, the unit of information used by quantum computers, to travel along fiber optic cables between Cisco switches. IBM and Cisco hope to have the first proof-of-concept ready within five years, a network that connects individual, large scale, fault-tolerant quantum computers with the power to run computations over 10s to hundreds of 1000s of qubits.01:49 — So, why do we need the quantum internet? Well, beyond the massive enhancement in computational power, which is the primary driver for companies to enter this space, if quantum computing itself becomes widespread, we'll need quantum structures in the Internet to protect ourselves from our very own creation.02:28 — Technology is advancing at an unfathomable speed, and just like in the AI space, we need to ensure it's contained. In fact, researchers at IBM co-developed three of the four quantum resistant algorithms that the U.S. National Institute of Standards and Technology, or NIST, have earmarked for future standardization. Visit Cloud Wars for more.

Highlights00:24 — I think we're seeing some very interesting competitive battling between Palantir and ServiceNow, head to head, emerging over two categories. One, this AI platform position that they're both talking about relentlessly as sort of the core of their strategic value. And secondly, they're both on this kick now about who is the defining software company of the 21st century, of the generation.01:57 — Both are talking up the power of the AI platform as the foundation for what companies need to succeed in this new AI-centric future. Which one has the right approach? How are they trying to position their companies, their capabilities, their ecosystems, to be able to take advantage of that? These are some of the things that I get into in detail in a later article.02:19 — We've also got both claiming that their results are just the greatest thing ever relative to the Rule of 40, which is for high-growth companies. You want to have a combination of 20% growth or more for revenue and 20% growth or more for margins, to have those equal 40 or more. Both exceed that number.03:26 — Who's got the momentum? Who's positioning themselves right in this sweet spot for businesses moving into this AI future, right? Who's going to be able to put together the tools that control the agents, that let all the data that's needed for IE come through? How are they able to build applications easily on top of this?04:05 — But right now, I think ServiceNow and Palantir are the ones that have the most focus on this AI platform vision. And it was fun to sort of look at this. In the article, we look at some of the comments from the Q3 earnings call from ServiceNow CEO Bill McDermott, and also from Palantir's Chief Revenue Officer, Ryan Taylor. Visit Cloud Wars for more.

Key TakeawaysAgents take center stage: Bensch says last year's event was focused on Copilot basics and early-stage AI adoption, but 2025 is the year of agents. Organizations are asking how to make agents work securely, how to tap into data through offerings like Work IQ and MCP servers, and how to build governance that actually holds up. Attendees can expect deep dives into security, data extraction, Dataverse, Finance & Operations, and all the new features unveiled at Microsoft Ignite. “Everyone's hearing agents, agents, agents,” he notes. “So, how do I get them to work?”Sessions designed for real adoption—not marketing fluff: This year's call for speakers exploded from ~160 last year to over 500 submissions, giving planners a far stronger pool of practical, hands-on sessions. The programming committee prioritizes real-world implementations, lessons learned, and “the good, the bad, and the ugly” of AI projects. He stresses that this event is not a product-pitch environment. Instead, sessions will help attendees understand how to build, deploy, and scale agents across modern work, business apps, and development workflows. “We're looking for empowering people,” Bensch says.Where strategy meets execution: Bensch explains that most attendees will fall somewhere between the starting line of AI adoption and mid-stage Copilot integration—but everyone is looking to connect the dots between strategy and execution. From governance to Dataverse to legacy-system integration via computer-use capabilities, sessions will show how companies can extend agent intelligence far beyond Q&A. The setting, including intimate sessions, world-class speakers, and networking events like golf and pickleball at Torrey Pines, creates space for candid, high-impact conversations attendees won't find at massive trade shows. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I review the remarks and insights from CEO Marc Benioff and Salesforce from the recent Q3 earnings call.Highlights00:20 — After an approximately three-year hiatus, CEO Marc Benioff and Salesforce demonstrated their growth mojo through the Q3 numbers. While some of the numbers aren't quite as robust as they were in Salesforce's earlier days, in the earnings call, Benioff emphasized growth, innovation, and new things coming that are reflective of where the company was in the past.01:07 — In its first 22 years, Salesforce had unprecedented growth — 20 years of 20% or higher growth. No other publicly traded company has done that. In the last few years, with some pressure from institutional investors, Salesforce had to shift its focus from growth and innovation to margins and profits. During this time, the character of the company has evolved, especially with the AI Revolution and the introduction of Agentforce.01:55 — Something that struck me was the exuberance of CEO Marc Benioff on the call and his excitement about lots of numbers that indicated things are headed in the right direction. He shared details and commentary about their Q3 numbers as well as the vitality and energy around new products.02:58 — Benioff was proud of the stats around Agentforce customers moving into production. The number of those was up 70% sequentially quarter to quarter. This demonstrates how quickly Agentforce customers are able to deploy the technology, get it into use, and start getting the essential business outcomes.03:38 — This is important because the biggest winners are always the customers in the Cloud Wars because they get to benefit from the incredible competition. It further triggers waves of relentless innovation unlike anything the world has ever seen. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I discuss how Palantir's latest customer wins reveal a shift from point solutions to end-to-end AI strategies.Highlights00:19 — Palantir's got a customer that, very shortly after signing a deal for a fairly limited AI engagement, said it wanted to go enterprise-wide with an investment that's up 8x over what the original one was. This signals where CEOs are driving these AI-centered business transformations to ensure that they go end-to-end here and have enhanced business outcomes as the goal.01:21 — This medical device manufacturer CEO went to the Palantir executive team and said, “What would we need to do to make this an end-to-end business transformation powered by AI, designed to drive greater outcomes?” And very quickly, they rewrote the whole deal. So five months after this initial thing, they had a new deal going on — eight times bigger.02:31 — So again, there we see this notion of Palantir doing some different things and engaging with customers in different ways. So, I think broadly what we're seeing here, overall, with these AI-centered business transformations is: time is the enemy — not your traditional competitors, not necessarily the new ones. It is this notion of time.03:40 — If you're on the customer side here, I think you've got to look at this and take a hard view of what's going on inside your company. Is it a lot of these little disjointed trials that could have a nice little upward bump in efficiency or cost savings? Or are you shooting for the moon here? Visit Cloud Wars for more.

In today's Cloud Wars Agent and Copilot Minute, I unpack why Microsoft Copilot will no longer be available on WhatsApp starting January 15 and what users should do next.Highlights00:03 — Starting January 15, Microsoft Copilot will no longer be available to users via WhatsApp. This feature has been offered since 2024, but due to changes in WhatsApp platform policies — which include the removal of all LLM chatbots, Copilot users will need to access the assistant through alternative means.00:30 — Unfortunately, because the version of Copilot used on WhatsApp is unauthenticated, it won't be possible to transfer chat history. Instead, users will need to manually export their conversations using WhatsApp's exportation tools.01:00 — Microsoft users who have grown accustomed to Copilot will now need to access the tool through Microsoft-controlled environments. In these settings, Microsoft can offer better functionality, enhanced security, and a wider range of use cases outside of a third-party platform. Visit Cloud Wars for more.

In this Cloud Wars Live podcast, Bob Evans sits down with Hayete Gallot, President, Google Cloud Customer Experience, to explore how Google Cloud is helping enterprises move from AI experimentation to true business transformation. Gallot describes how her organization unifies engineering, consulting, partners, and learning to accelerate time-to-value and scale agentic AI across every function. Together, they dive into Gemini Enterprise, customer successes like Virgin Voyages, and why human-centered change is the real key to AI's future.The AI Turning PointThe Big Themes:Customer Experience Built for the AI Era: Google Cloud created a new Customer Experience organization, led by Hayete Gallot, to match the speed and complexity of AI-driven transformation. Instead of treating AI as a pure technology play, the team unifies industry and solutions experts, customer engineers, consulting, partners, and learning into one group that supports the full innovation lifecycle. That means they can help customers go from idea to minimum viable product to production in a consistent, repeatable way.Ecosystem, Partners, and Curated AI Solutions: Google Cloud's ecosystem strategy is central to scaling AI transformation. Gallot describes deep investment in system integrators — not just training them on technology, but sharing methodologies and scenario-based approaches so they can guide customers toward the right AI choices. At the same time, Google Cloud works with top ISVs to embed AI into their solutions and create compatible protocols for multi-agent experiences.Structuring Tech Teams for Agentic Transformation: AI's rise is forcing technology organizations to evolve. Gallot notes that CTOs and CIOs are asking how to restructure their teams for an “agentic” world. The demand is no longer just for deep technical skills, but also people who understand user experience, behavior, and business workflows. Technology teams are increasingly expected to co-design scenarios with business leaders, not just implement requirements. Looking ahead to 2026, Gallot sees the priority as scaling agentic transformation across divisions.The Big Quote: "Customers are much more mature on AI … When you meet with them, they're [asking] what's in it for me? What am I going to get? When am I going to get it? How do I scale this? They want production, and they want outcome." Visit Cloud Wars for more.

Key TakeawaysCommunity involvement: Mary is a member of the programming committee board this year and will be attending the AI Agent & Copilot Summit, taking place from March 17th to 19th in San Diego, California. Working in the real estate industry, Mary acknowledges that, like individuals in all industries, there's a lot of AI transformations happening right now. "Being involved in this broader community is really exciting and energizing," she says.Summit expectations: She reports momentum as it gets closer to the event, like the number of responses to the call for speakers. "There's a big focus on real people figuring out and solving real problems with agents and Copilot," she notes. "Attendees can really expect a mix of hands-on learning and bigger picture conversations." Members of the community are curious, collaborative, and excited to share, so there's a lot for attendees to look forward to.Clear takeaways and diverse perspectives: Whether you're coming from a business team or a technical team, there's something that everyone can walk away with and implement, providing a "clarity of takeaways." The AI Agent & Copilot Summit also provides a "diversity of perspectives," which Mary considers to be very important. "I think we're looking for a mix of developers, business leaders, consultants, power users, and people who are just getting started to really get that diversity of thought and perspective."Overcoming challenges: One of the biggest challenges right now, Mary suggests, is the pressure to figure out how to adopt AI. Many leaders are looking to bridge the gaps between where to start, learning, and taking action. It's not just about teaching the tools or determining how to prompt better. "It's about shifting habits and thinking and mindsets," Mary says. "It's change management and how we make AI feel more approachable." Early adopters are able to pass on their experiences and accelerate the learning curve for attendees. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore how Salesforce's acquisition of Informatica strengthens its foundation for delivering trustworthy, agentic AI.Highlights00:04 — A few years back, when I was covering the cloud data management firm Informatica on a regular basis, the rumor mill was rife with speculation that the company was set to be acquired by Salesforce. It didn't happen right away, but ultimately, that's what transpired.00:22 — Now, Salesforce has announced that the acquisition is complete and Informatica is now part of the company — and it makes perfect sense. Informatica emerged as one of the most creative and forward-thinking cloud data management platforms out there.00:39 — The company was quick to adopt generative AI with its CLAIRE GPT tool and soon embedded this enhanced functionality across its Intelligent Data Management Cloud, or IDMC. And now Salesforce has all of this capability within its own ecosystem, and it's an enviable place to be.00:59 — Salesforce CEO Marc Benioff has been quick to highlight how the integration of Informatica will benefit Salesforce customers in their agentic AI journey, saying: “You have to get your data right to get your AI right ... Informatica is the trusted platform that turns fragmented enterprise data into context so every agent can reason, act, and deliver outcomes with precision."01:43 — Benioff is spot-on with that opening line: You have to get your data right to get your AI right. And with Informatica's tech supporting a scalable data foundation, Salesforce is enabling just that. If, like Salesforce, you can provide not only the tools to develop an agentic AI ecosystem but also the data foundation to support it, you find yourself in a very strong position indeed. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze why Workday's $26B RPO signals strong future momentum in the face of SAP and Oracle.Highlights00:15 — Very nice Q3 that Workday recently finished here. Great revenue growth for the quarter ended October 31 — up 15% to about $2.25 billion. 17% growth for its total RPO, to about $8.2 billion. It's been cranking up the innovation engine there at Workday. Small AI-specific acquisitions over the last year or two have really been adding to this so customers have more to buy.01:16 — CEO Carl Eschenbach made key points. Broadly, everybody sees the potential of AI, but he said most customers find they're stuck with fragmented systems. He said they have bad data, and he said they're not sure that they have the right platforms to work with. Workday believes that its AI solutions can come in and directly address all of those things.02:00 — He said, "We want to be the new front door to work." He's bringing together three significant components to be able to do that. He said that's enterprise knowledge, a new generation of agents that address some of the most pressing business requirements, and also the HR and financial processes that Workday has helped customers to track for the last 20 years.03:10 — It wants to be AI-first. With everything it's doing, it's making things as open as possible. It's trying to make things as simple for its customers as it can. These are important differentiators for Workday as it's up against two much larger competitors, SAP and Oracle. Its future pipeline is strong. Customer demand is there. Confidence is there. Visit Cloud Wars for more.