Podcasts about cloud wars

In today's Cloud Wars Minute, I look at why two of the fastest-growing Cloud Wars companies are joining forces around data, AI, and industry solutions. Highlights 00:03 — When heavy weather rolls in, it's good to have friends around. It's good to have partnerships, and I don't think the AI Revolution is so much heavy weather, but that depends on how well prepared businesses are to take advantage of it, how aggressively, how thoughtfully they're moving into this AI Revolution. 00:41 — It's interesting, Google Cloud and Palantir, on the Cloud Wars Top 10, these are the two fastest-growing companies. Google Cloud grew 63%; Palantir grew 70%. Palantir's commercial business grew 133% in the first quarter, so they've got enormous momentum. 01:30 — The Palantir Foundry platform for enterprise data management is now available on Google Cloud infrastructure and on the Google Cloud Marketplace. Google Cloud and Palantir have built connectors between Foundry and Google Cloud's BigQuery, allowing data from those platforms and others to be pulled together for businesses to analyze. 02:09 — Not just the technical integrations, which have to happen, but also this desire for these two companies to say, "We're going to jointly develop industry-specific solutions around data and AI for vertical markets." The first two they picked are retail and financial services. 03:15 — This is a dream partnership, I think. And it's also probably an example of how, with the enormity of the prospects of what can happen here in the AI Revolution, we're going to see more of the Cloud Wars Top 10 companies form these sorts of wide-ranging partnerships. 04:19 — There's a big emphasis from both of these companies on keeping things open and fully accessible for whichever specific routes customers want to take. We're seeing these inextricably bound connections here through this partnership of data, which is the fuel for AI, helping companies transform into AI-powered enterprises. Visit Cloud Wars for more.

Highlights 00:27 — It's not just business as usual for these companies, their customers, and others who are tied into these extraordinary enterprises. We're also seeing booms in innovation, not just in technology but in go-to-market models, business models, and more. 01:32 — The big part of this is that it's not just big numbers, but big numbers driving widespread, deep, and profound innovation. Here's how the $2.1 trillion breaks out across the four hyperscalers: Backlog RPO Total Backlog RPO Growth Rate Oracle $638 Billion 363% Microsoft $627 Billion 99% Google Cloud $462 Billion 93% AWS $364 Billion 49% Total $2.091 Trillion   02:32 — With this high level of innovation, we're seeing a convergence of industries including technology, energy, and construction. Because of extreme demands, the tech industry has to start getting into the energy business. Construction is entering the picture as well, as these facilities are some of the largest built in such a short period of time, meeting demanding specifications and aligning with supply and demand. 03:25 — This convergence is leading to the hyperscalers developing new business models. These companies are coming up with unique models to solve this unprecedented demand and business challenge. Customers are coming up with different models based on what's happening, too. 04:15 — I have been a huge fan of the potential of fusion energy to meet this need. The convergence of tech and energy is only going to accelerate what's happening to break even with fusion energy. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze how Sana is helping Workday transform from a system of record into a system of action. Highlights 0:00 — Workday has announced two new agents: Sana for IT Service Management, or ITSM, and Sana Travel Agent. To recap, Workday acquired Sana at the end of 2025, and since then, the technology has evolved into Workday's employee AI layer, what the company describes as its "front door for work." 0:42 — Sana for ITSM automates workflows for tasks like employee onboarding, off-boarding, access changes, and standard IT requests, while the Sana Travel Agent helps employees plan work trips, book travel, and manage expenses. Both agents are built directly on Workday, meaning they have the same security and governance protocols by default, and tap into the bespoke contextual company data and policy information contained within the platform. 00:57 — Cloud Wars founder Bob Evans commented on the development in the official Workday press release: "Extending agents into adjacent workflows like onboarding, travel, and expenses, where Workday already has the people and finance data and policies, is not only practical but also a transformational way to help HR and finance leaders meet and exceed their objectives." 01:25 — Workday's acquisition of Sana was a pivotal moment in the company's recent history and accelerated its push in the enterprise AI era. The deal signaled a strategic evolution beyond Workday's traditional role as a system of record for HR and finance processes. 01:44 — At the same time, that deep system of record foundation is exactly what makes Sana's autonomous AI agents such a strong fit, because the agents can operate with rich context, permissions, policy, and workflow data already embedded within the platform.     Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze how a trillion dollars in cloud backlog is driving innovation beyond technology and into corporate finance. Highlights 00:03 — In the Cloud Wars, all sorts of crazy things are going on with the technology, what customers are doing with it, but also in how this whole remarkable time is being funded. I want to talk a little bit today about how Google Cloud and Oracle are choosing to fund this unprecedented market demand and why new possibilities require new ways of doing things. 01:25 — In Oracle's most recent quarter, it reported that its RPO, or Remaining Performance Obligation, similar to backlog, is over $550 billion. For Google Cloud, it had an amazing jump as well in its most recent quarter, ended March 31, $462 billion in backlog, almost double what it had been a year before that. So there's amazing demand, these two companies totaling a trillion dollars. 02:09 — Six months ago, Oracle reached out and said, “No, no, we're going to go to some outside funding, some borrowing, to do that.” But the market reacted with a panic. “Oh my God, nobody's ever done this.” And, you know, "What if they can't pay it back?” So there was a lot of skepticism about Oracle's plan six months ago. 02:58 — Now, a week ago, we see Alphabet step up and say, “Hey, we're going to do some equity financing. We're going to take $10 billion from Warren Buffett and some other places. We need this money. We think it's the best way to pursue funding our own data center expansions, our own CapEx needs, which will be somewhere between $185 and $190 billion.” Oracle's will probably be around $75 billion. 04:37 — Oracle and Google Cloud have risen to the top of the Cloud Wars Top 10 because they brought innovation at levels in technology and go-to-market, how they think about customers, deployment models, and so forth, that have really set the new standard for what's happening in the AI cloud business now. Seeking outside funding to meet this demand shows another way to do it. Visit Cloud Wars for more.

In this special report, John Siefert, CEO, Dynamic Communities and Cloud Wars, speaks with Robbie Morrison about Velocio's acquisition of Domain Six and what the move means for customers, partners, and the broader Microsoft ecosystem. Morrison explains how the acquisition expands Velocio's enterprise capabilities, vertical-industry expertise, and delivery capacity while strengthening its ability to help organizations modernize around cloud, data, and AI. Velocio Expands Expertise The Big Themes: Domain Six Expands Velocio's Reach: Velocio's acquisition of Domain Six represents more than a simple expansion of headcount. Robbie Morrison describes the acquisition as a strategic move that adds highly skilled consulting talent, enterprise delivery capabilities, and valuable intellectual property in specialized vertical markets. Domain Six brings expertise in areas such as rental businesses and professional services, allowing Velocio to broaden its market reach while deepening its industry-specific knowledge. Consulting is fundamentally a people-centric business, making the addition of experienced professionals especially valuable. Customers Gain Access to Broader Expertise: One of the biggest benefits of the acquisition is the expanded access customers receive to specialized talent and services. Morrison notes that existing Velocio customers will gain access to Domain Six's industry expertise, while Domain Six customers will benefit from Velocio's larger global team and deeper Microsoft platform knowledge. The combined organization can now offer expertise spanning Azure, Dynamics, Microsoft 365, Fabric, data platforms, and business applications. Governance Has Become a Competitive Advantage: Data governance is no longer just a security requirement. Morrison explains that governance, access controls, documentation, and process discipline have become business enablers. Proper governance ensures that the right employees can access the right information at the right time, allowing organizations to move faster and make better decisions. As AI systems increasingly depend on organizational data, governance frameworks become essential for both compliance and performance. The Big Quote: “Everything that we do is people-centric. We're a consulting business at heart, and a consulting business is built on the knowledge and the abilities of the people you bring in, so bringing in that great team at Domain Six was key." More from Velocio and Robbie Morrison: Connect with Robbie on LinkedIn, read the press release about the Domain 6 acquisition,  or check out the Velocio website. Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans sits down with Bonnie Tinder, Founder and CEO of Raven Intelligence, to discuss how AI is reshaping the systems-integrator (SI) market. Their discussion explores how AI-powered migration agents, deployment assistants, and new implementation models are dramatically reducing project timelines, staffing requirements, and costs. Bonnie explains why traditional implementation approaches are giving way to leaner, expertise-driven engagements centered on outcomes rather than labor hours. Episode 60 | Outcomes Beat Implementations The Big Themes: AI Compresses Implementation Costs: Tinder notes that organizations often spend 10 to 11 times the cost of software licenses on implementation services. AI is beginning to challenge that model by automating some of the most labor-intensive aspects of projects, particularly data migration and system conversion work. Migration agents and deployment assistants can significantly reduce the need for large teams of junior consultants performing repetitive tasks. As implementation timelines shrink and staffing requirements decline, customers will increasingly expect lower costs and faster results. Vendors are also pushing for these efficiencies because lengthy implementations delay customer value realization. The result is mounting pressure across the SI industry to adopt AI-enabled delivery models that are leaner, faster, and more outcome-focused. Outcome-Based Thinking Is Accelerating: Throughout the discussion, Bob and Bonnie discuss the growing demand for measurable business outcomes. Customers are increasingly unwilling to tolerate expensive implementations that fail to deliver value. This pressure is encouraging software vendors and SI firms to move toward outcome-oriented engagements and pricing models. Instead of charging primarily for labor and project duration, firms must demonstrate tangible improvements in efficiency, productivity, or business performance. Boutique Firms May Gain an Advantage: Bonnie sees a major opportunity for boutique consulting firms in the AI Era. Historically, large global systems integrators benefited from scale, brand recognition, and access to specialized tools. AI is leveling parts of that playing field by making sophisticated capabilities more broadly available. Smaller firms can now compete using many of the same technologies while offering highly experienced teams and direct client engagement. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I cover a recent court case leading to OpenAI having to clarify that ChatGPT is not a lawyer. Highlights 00:10 — There has been confusion about what OpenAI's core product, ChatGPT, is and isn't, particularly in a recent court case. OpenAI clarified that ChatGPT is not a lawyer after an individual used the AI tool to build her case and would cite it as a source. 01:30 — In its motion for dismissal, ChatGPT had to very specifically note that it's not a lawyer, it is not a person, and it does not practice law. OpenAI defined ChatGPT as a set of rules and words that help people understand what's going on around them. 02:30 — One of the world's most technologically advanced companies and innovators had to spell this out in court. There is a fair amount of humor to be found in this. 03:00 — To quote Pogo, "We have met the enemy, and it is us." Humans should be rightly proud of the tech innovations and AI advances emerging. However, there's always going to be this goofiness out on the fringes where things have to be spelled out. Visit Cloud Wars for more.

In this Cloud Wars special report, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q1 performance and the deeper forces driving enterprise AI adoption. Wahlquist explains how Palantir's model goes far beyond traditional software, combining forward deployed engineering, ontology, agentic AI, and enterprise infrastructure to accelerate customer outcomes. AI Infrastructure Rising The Big Themes: AI Building AI: One of the most striking themes is the shift from companies building AI products to building AI products with AI. Wahlquist describes a major evolution in enterprise delivery models, where Palantir has moved from “boot camps” to “agent camps,” using AI agents to help rapidly construct customer solutions. This dramatically compresses timelines from projects expected to take months down to days. The deeper implication is that AI is no longer just the product layer; it is becoming the production mechanism itself. SAP Migration Gets Reinvented: The SAP partnership emerges as one of the most strategically significant parts of the discussion. Wahlquist describes Palantir helping customers accelerate complex ERP migrations, including ECC-to-S/4 transformations, acquired-company integrations, and even mainframe modernization. Traditionally, these efforts consume years and hundreds of millions of dollars. Palantir's approach uses ontology plus agentic frameworks to interpret structured and unstructured enterprise information, identify mismatches, and automate execution paths. He claims 50%+ time compression in migration work. Efficiency As Corporate Proof Point: One fascinating element is Palantir's operating model itself. Evans references Alex Karp's claim that a company of Palantir's scale would traditionally employ thousands of salespeople, while Palantir operates with a dramatically leaner commercial organization. Wahlquist argues that product effectiveness changes the equation: engineers demonstrating working systems on customer data become the real sales force. He also notes Palantir internally runs on its own software, using Foundry-based systems for CRM, ticketing, finance, and operations. This creates both operational efficiency and credibility. The Big Quote: “What I'm seeing here is really the difference between, hey, I'm building AI products to I'm building AI products with AI.” More from Chad Wahlquist: Connect with Chad on LinkedIn, or learn about Palantir Foundry. Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans speaks with Matt Renner, Chief Revenue Officer at Google Cloud, about the explosive acceleration of enterprise AI adoption and how Google Cloud is scaling to meet it. Renner explains why customers are demanding immediate business outcomes, not experimental pilots years down the road, and shares Google Cloud's response through expanded field engineering investments, ecosystem funding, and deeper enterprise co-creation. The discussion also explores Google's differentiated AI stack strategy, the intensifying competitive landscape, and why AI security could become one of the industry's most significant next battlegrounds.Google's AI Scaling Play The Big Themes: AI Demand Has Moved Beyond Experimentation: Matt Renner makes clear that enterprise AI has entered a fundamentally different phase. Companies are no longer satisfied with proof-of-concept experimentation or exploratory pilots. Instead, executive teams want measurable business value quickly. This urgency is reshaping vendor expectations, deployment models, and customer engagement strategies. Google Cloud is seeing demand at a pace that traditional scaling models cannot satisfy, which is driving operational changes. This is not a speculative future trend, it is already happening. The $750 Million Ecosystem Expansion Multiplies Capacity: Google Cloud's $750 million ecosystem investment complements the FDE initiative by scaling partner-led implementation capacity. Renner explains that Google alone cannot meet enterprise AI demand, so partner ecosystems become force multipliers. The strategy is to expand from hundreds of specialists into thousands of technical practitioners capable of building agents, workflows, and AI-powered solutions. This reflects a practical recognition that enterprise AI requires broad execution capability, not just core platform excellence. The AI Market Reset Is Reshaping Cloud Competition: Renner describes AI as a market reset that is materially changing competitive cloud dynamics. Google Cloud's growth rates, contrasted against hyperscaler rivals, are presented as evidence that strategic positioning matters. The broader takeaway is that AI has altered enterprise buying criteria, infrastructure priorities, and vendor differentiation. Long-term investments in chips, models, data infrastructure, and platform integration are beginning to show commercial returns. Rather than incremental cloud evolution, Renner presents this as a structural shift in the market. Enterprises are reallocating attention and budgets around AI capability. The Big Quote: “We're seeing unprecedented demand for Google Cloud products infrastructure, all driven, frankly, from AI." More from Matt Renner and Google Cloud: Connect with Matt Renner on LinkedIn or learn more about Google Cloud AI. Visit Cloud Wars for more.

Highlights 00:28 — Over the past couple of years, SAP has been the growth leader in applications, growing anywhere from 50% to 250% faster than some of its major competitors. 00:41 — The company has undergone a shift to consumption pricing. This is something that will be phased in over the next couple of years. CEO Christian Klein says it reflects the way that people are using AI and the value they're getting out of the product. 01:12 — SAP is developing tighter relationships with AI innovators. An interesting one is Palantir, which is now billing itself as an AI infrastructure company, serving as the software foundation enabling AI to do its best work. 02:00 — There are three recent notable acquisitions: Reltio for Master Data Management Dremio for more SAP and non-SAP data pulled together Polar Labs to help SAP move forward with structured data 02:52 — Evidently, SAP is trying to capitalize on what's happening with the AI revolution and the new capabilities that come with it. I think that Klein's leadership, focus, and willingness to take ambitious moves with acquisitions and strategic partnerships will be force multipliers in the market. 03:47 — Forward-deployed engineers will be a big part of SAP's new AI alignment with customers, to help those customers rapidly develop and deploy AI agents and applications. Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans sits down with Workday Co-Founder and CEO Aneel Bhusri for a candid discussion about AI's disruptive impact on enterprise software, the future of agentic workflows, and why Bhusri returned to the CEO role during one of tech's most consequential transitions. The conversation explores whether AI will replace software or labor, why systems of record remain strategically vital, and how enterprise leaders should think about governance, security, and business transformation as intelligent agents begin reshaping the operating model of modern organizations. AI Changes Enterprise Work The Big Themes: AI Replaces Labor, Not Software: One of the most provocative points in the conversation is Bhusri's assertion that AI is not currently replacing enterprise software, it's replacing labor. That distinction changes everything. Rather than displacing systems like HR, finance, or ERP, AI is being layered on top of those systems to automate work previously performed by people. Bhusri sees this as both a business opportunity and a societal concern. Systems of Record Still Matter: Despite “SaaSpocalypse” chatter, Bhusri argues strongly that systems of record remain deeply entrenched. Customers are not planning to rip out core HR or ERP systems and replace them with loosely connected AI tools. Instead, the competitive battle shifts to what gets built on top of those platforms. That's a major strategic advantage for incumbents with trusted enterprise infrastructure, data models, and governance frameworks. Bhusri groups Workday alongside SAP, Oracle, and Salesforce as vendors with durable strategic relevance. AI's Social Impact Is the Bigger Story: The most human part of the discussion comes at the end, when Bhusri expresses genuine concern about AI-driven job displacement. Unlike past automation waves focused on repetitive tasks, he worries this generation affects reasoning and knowledge work. Yet he remains optimistic that technology ultimately improves society. Still, he insists enterprise leaders must become part of the solution, not simply profit from disruption. The Big Quote: “Great tech companies aren't built on one generation of technology.” More from Aneel Bhusri and Workday: Learn more about Workday and AI Connect and Workday Agent System of Record. Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans sits down with Shub Bhowmick, CEO and Founder of Tredence, alongside Yasmeen Ahmad from Google Cloud to explore how enterprises are moving from AI applications to AI agents. Their discussion focuses on what it takes to turn intelligence into action — covering data foundations, semantic layers, agentic architectures, and the operational shifts required for businesses to scale AI successfully. Turning AI Into Action The Big Themes: AI Agents Redefine Applications: Traditional AI apps assist by querying data, generating recommendations, and supporting limited workflows. AI agents, however, represent a much deeper operational shift. As Ahmad explains, agents are multi-step reasoning engines that can access multiple systems, coordinate actions, and execute entire business processes autonomously. Instead of simply helping humans decide, they can perform work across ERP systems, supply chains, and customer interactions. This changes the role of the database itself — from a storage and query engine into a reasoning engine with vector search, graph RAG, and semantic understanding. Examples like Home Depot and Danfoss show how this creates massive efficiency gains Why Questions Require Agentic Intelligence: Shub Bhowmick draws a critical distinction between “what” questions and “why” questions. A conversational BI system can answer what happened — such as how much sales dropped — but a “why” question demands deeper reasoning. Why did sales decline? Was it pricing pressure, competitor behavior, inventory constraints, or macroeconomic events? These problems require hypothesis-driven exploration. Tredence addresses this through business semantic layers, knowledge graphs, and hypothesis banks that support open-ended reasoning. Closed Systems Create Long-Term Risk: Bhowmick warns against enterprises rushing toward closed, inflexible platforms simply because they promise faster short-term value. While packaged solutions may accelerate deployment, they often restrict ownership, adaptability, and future innovation. In contrast, open architectures built with hyperscalers like Google Cloud allow customers to own the IP, customize solutions, and evolve as the market changes. The Big Quote: “Gone are the days when these migrations used to take 12 to 18 months. Nowadays, you have to complete these migrations in less than three to four months.” More from Tredence and Google Cloud: Learn about the partnership between Tredence and Google Cloud and AI agents on Gemini Enterprise. Visit Cloud Wars for more.

Welcome to another wildly entertaining and tech-packed episode of VisionCast! In this hilarious installment, interim host Rachel takes the reins, guiding the crew through a maze of bizarre news, deep tech debates, and side-splitting AI-generated humor. Whether you are an AI enthusiast, a tech geek, or just looking for a good laugh, this episode delivers on all fronts.The show kicks off with the official crowning of Phillip as the "Doodles of the Month." Earning his title through an impressive streak of missing buses and trains, Phillip is honored with a hilarious, custom AI-generated country-pop anthem appropriately titled "Doodles Missed His Bus." The catchy tune sets the stage for a much larger discussion on the rapidly evolving landscape of AI music generators. The team dives into the fierce Reddit backlash surrounding the latest Suno AI version 5.5 update, with users claiming it's a downgrade from version 5.0. The crew weighs in on the AI music wars, comparing Suno to heavy hitters like Udio, Sonato, and Google's emerging "Text to Song" feature inside the Gemini app.The conversation then seamlessly transitions into the ultimate Cloud Wars. If you are struggling to choose the right cloud storage or email hosting, this segment is a goldmine. The team fiercely debates the pros and cons of Dropbox versus Google Drive and Google Workspace Enterprise. Dropbox takes a heavy beating from the crew over its restrictive pricing and features, while Google Workspace is praised for its generous 5TB storage and seamless ecosystem. The tech talk deepens as they tackle domain hosting with Porkbun, the deprecation of outdated POP3 email protocols, and the modern necessity of IMAP and Gmailify. As a cautionary cybersecurity tale, George laments his recent encounter with a nasty Trojan virus—a stark reminder to always practice safe browsing!However, the undisputed highlight of the episode comes during the bizarre news segment. The crew completely loses their minds over a newly patented invention by Chinese EV maker Series: a slide-out, in-car toilet designed for passenger seats during heavy traffic jams. The team hilariously breaks down the absurd logistics of this vehicular commode—from the lack of privacy and motion sensors to the undeniable odor issues. It is a laugh-out-loud critique of modern automotive "innovation."The comedy doesn't stop there. Preston confesses to accidentally winning women's lingerie at a Lions Club potluck silent auction, leading to merciless teasing from the rest of the team. Even Claude AI, acting as a highly interactive and remarkably sassy digital co-host, chimes in to roast Preston, solidifying Claude's permanent spot in the Vision Cast "AI Panel Hall of Fame."From deep-dive critiques of AI music tools and cloud storage platforms to crying-from-laughter reactions about electric vehicle toilets, thisl episode is a perfect blend of technology, news, and unfiltered comedy.

On this episode of Christopher Lochhead: Follow Your Different, Christopher Lochhead moves over to the guest chair and answer our questions about AI, Creator Capitalists, and the future of work.  At the AI and Copilot Summit in San Diego, Christopher Lochhead had a conversation that resonated far beyond a typical business keynote. Speaking to hundreds of executives, he challenged the dominant narrative around artificial intelligence. Instead of focusing on fear, disruption, and job loss, he reframed AI as the greatest creative unlock in human history. His message was not about survival in an automated world, but about reinvention. At the heart of his perspective is a shift from knowledge work to creation. As AI makes both knowledge and execution increasingly accessible, the real question is no longer what we know or how efficiently we work. The question becomes what we choose to create and how we differentiate ourselves in a world flooded with sameness. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   The End of Knowledge Work as We Know It For decades, careers were built on the idea that knowledge is power. Professionals were valued for what they knew and how effectively they could apply that knowledge. This model defined the rise of the knowledge worker, where expertise and execution were the foundation of economic value. AI is dismantling that foundation. With tools that can generate insights and execute tasks instantly, both knowledge and execution are becoming commoditized. As a result, roles centered on repeating known processes are rapidly losing relevance. This shift is not just technological. It is existential, forcing individuals and organizations to rethink what truly creates value in the modern economy.   From Fear to Opportunity in the Age of AI Much of the public conversation around AI is driven by fear, particularly the fear of job loss. Lochhead acknowledges these concerns but argues that they overshadow a more important truth. Every major technological leap has created entirely new categories of work, even as it disrupted old ones. AI is no different, but the pace is unprecedented. Instead of focusing solely on what might disappear, there is a need to explore what becomes possible. The real opportunity lies in recognizing that AI expands human capability. It enables individuals to build, experiment, and innovate at a scale that was previously unimaginable, opening doors for entirely new career paths.   The Rise of the Creator Capitalist In a world where execution is automated and knowledge is abundant, creation becomes the ultimate differentiator. Lochhead introduces the concept of the creator capitalist, someone who leverages their unique perspective, skills, and experiences to produce meaningful value. This is not about following passion alone, but about identifying one's distinct strengths and applying them in ways that matter. The creator capitalist mindset also reframes personal assets. Relationships, reputation, expertise, and financial resources become forms of capital that can be combined and amplified through AI. Those who learn to connect their individuality with scalable tools will define the future of work, while those who cling to outdated models risk being left behind.   Links Want to catch more episode of the AI Agent & Copilot Podcast? You can check them out here: Presented by Cloud Wars | AI Agent and Copilot Podcast | John Siefert LinkedIn | Cloud Wars LinkedIn   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

In today's Cloud Wars Minute, I review SAP's acquisition of Reltio to enhance the Business Data Cloud, expand opportunities for customers, and continue its transformation to being an AI-first, data-first company. Highlights 00:07 — SAP made a big move to deepen its capabilities around data to power what it's doing in AI, with plans to acquire Reltio. The real goal of this is to be able to fuel SAP's ambitions for agentic AI, particularly as it moves to convert its vast portfolio of enterprise applications to agentic AI applications. 00:58 — This move extends SAP's transformation that has been in-progress for several years now. It's working to shed its enterprise apps reputation and rather be recognized as an AI-first, data-first company. 02:27 — Customers will benefit from capabilities through Reltio to get clean, high-quality data that's fully harmonized, pulling from both SAP and non-SAP systems. 03:03 — SAP has been working hard, leading up to the launch of its data cloud, to bring in more capabilities. This acquisition demonstrates the strategic importance of the SAP Business Data Cloud and enhances what the company is doing with it. Visit Cloud Wars for more.

Artificial intelligence is rapidly transforming the business landscape, redefining how value is created and where human work fits within the new paradigm. Long-standing advice to amass knowledge and out-execute others is now running up against sophisticated AI agents that can process information and perform tasks at speeds and scales unattainable by humans. In this emerging era, Christopher Lochhead's insights point to a critical shift from being a traditional “knowledge worker” to embracing the future as a “creator capitalist.” On this episode, Christopher Lochhead moves over to the guest chair and answer our questions about AI, Creator Capitalists, and the future of work.  You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   Why the Knowledge Worker Playbook Is Obsolete For decades, success in business hinged on being a master of knowledge and execution. This model rewarded those who reacted effectively, put out fires, and delivered results with established frameworks. However, with AI making information and execution nearly free and instantly accessible, simply reacting and executing is no longer enough. As Christopher Lochhead argues, clinging to this outdated success formula is akin to opening a video rental store in the age of streaming services. Today, the competitive edge lies in moving upstream to activities that AI cannot easily replicate. This means focusing on judgment, unique perspectives, and the ability to define, frame, and solve new problems. Humans cannot out-execute a GPU, but they can out-create one by leveraging skills that remain distinctly human.   The Four Capitals of the Creator Capitalist Framework Lochhead's Creator Capitalist concept rests on the mastery and integration of four kinds of capital: intellectual, relationship, reputational, and financial. Intellectual capital emerges from differentiated insights, deep domain expertise, and unique perspectives. Relationship capital is built through genuine connections and trust within your network, while reputational capital is earned through tangible results and reliability, not just self-promotional branding. Bringing these capitals together creates a flywheel that drives lasting success, even as AI commoditizes old sources of value. Financial capital follows as a natural result of delivering value that others find meaningful. Those able to orchestrate these four capitals will build not just AI-resistant careers but ones supercharged by the new opportunities technology presents.   Unleashing Human Potential: Adapt, Create, and Lead As AI handles more routine tasks, the future belongs to those who cultivate curiosity, creativity, and critical thinking. These human abilities enable us to ask better questions, generate bold ideas, and envision solutions no algorithm can predict. Lochhead urges professionals to take radical responsibility for their careers and continually seek ways to create net new value. Adapting to this shift means letting go of fear and embracing the opportunity to redefine what it means to be valuable. The most successful individuals and organizations will be those who harness AI as a tool to augment their creative power and lead the way into uncharted territory. The age of the creator capitalist has arrived, and it's time to build the future together. To hear more of Christopher Lochhead’s thoughts on Creator Capitalist and the future of work, download and listen to this episode.   Links Want to catch more episode of the AI Agent & Copilot Podcast? You can check them out here: Presented by Cloud Wars | AI Agent and Copilot Podcast | John Siefert LinkedIn | Cloud Wars LinkedIn   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

Listen to FULL RUNDOWN at https://podcasts.apple.com/us/podcast/full-rundown-the-great-infrastructure-shift-apples/id1684415169?i=1000753128321Summary: Tension rises as OpenAI prepares to compete with Microsoft's GitHub. Simultaneously, Google launches Gemini 3.1 Flash-Lite, setting a new industry standard for low-cost, high-speed intelligence.Key Points:OpenAI's Move: Developing an alternative to GitHub to escape service disruptions.Google's Price War: Gemini 3.1 Flash-Lite launches at $0.25 per 1M tokens.The Conflict: The first major signs of a "rivalry" between OpenAI and its primary investor, Microsoft.Keywords: OpenAI GitHub, Gemini 3.1 Flash-Lite, Microsoft vs OpenAI, Developer Tools, AI Infrastructure, Cloud Wars.Resources: The OpenAI Code Repository: Your “Safe Harbor” Guide at https://enoumen.substack.com/p/the-openai-code-repository-your-safeThis episode is made possible by our sponsors:

In this episode of the AI Agent & Copilot Podcast, John Siefert, host and CEO, Dynamic Communities and Cloud Wars, is joined by Jen Harris, CEO of TMC, to explore how AI agents, automation, and mindset shifts are redefining business. Their discussion spans TMC's acquisition of TMG, leadership in the partner ecosystem, and why reimagining work is critical now, setting the stage for conversations at the 2026 AI Agent & Copilot Summit NA.Key TakeawaysAI Requires Commitment, Not Caution: Harris emphasizes that half-measures slow progress more than they reduce risk. Organizations that just try one thing often abandon AI too quickly because early results aren't perfect. She notes, “You fail first at new things,” adding that true adoption requires patience, leadership backing, and a willingness to accept short-term discomfort for long-term gains.Solutions Beat Technology Stacks: Customers no longer want disconnected tools; they want outcomes. Harris explains that clients expect partners to “meet them where they are,” combining Power Platform, Azure, data, and AI into real solutions.Mindset Is the Real Bottleneck: While AI is already embedded in daily life, Harris observes resistance when it enters core business roles. “It's not quite here yet” is often code for fear of job impact. She challenges leaders to reframe AI as a workload reducer, asking, “What if it would make you less busy?”Reactive Roles Are Disappearing: Harris highlights a coming shift as agents take over repetitive, reactive work. Professionals who built careers on being indispensable specialists must evolve. People will move toward proactive creation, strategy, and value generation.Human Connection Still Matters: Despite rapid automation, Harris stresses that humanity isn't going away. Reflecting on in-person events, she says, “Look at you — you came out of your offices on a cold day, and we're talking.” AI may scale intelligence, but trust, inspiration, and shared understanding still comes from people. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze hyperscaler Q4 numbers and reveal why growth rates matter more than size right now.Highlights00:02— We've got the final hyperscaler numbers in now, so we can do some comparisons here. AWS reported a very strong Q4 numbers late last week. I want to talk about that in two contexts. First of all, those numbers themselves and the very nice performance AWS put together.00:42 — The second one, though, is relative to its big competitors, specifically Google Cloud and Microsoft. AWS, in spite of good numbers itself in Q4, continues to fall behind the pace being set by the leaders, particularly Google Cloud. Its revenue is up 24% to $35.6 billion. I think that's about a $142 billion annualized run rate.01:44 — Very impressive, excellent growth rate. Each quarter this year, their growth rate has gone up: Q1, 17%; then 17.5%; then 20%; and now 24%. Best quarter in more than three years for them. And their backlog, they said, was up 40% to $244 billion. But at the same time, Google Cloud's explosive Q4 numbers show that they have a 48% growth rate versus AWS's 24%.02:16 — That's twice as much. So AWS is twice as big as Google Cloud, but Google Cloud is growing twice as fast. The growth rate now — 48% in Q4 for Google Cloud, 26% for Microsoft Cloud, and AWS 24% — that is really an outlier there. One is in incremental quarter-over-quarter revenue. So the revenue in Q3, then look at the revenue in Q4.03:02 — AWS is in the lead: $2.6 billion incremental revenue in Q4 versus Q3. Google Cloud, $2.5 billion. Microsoft Cloud, $2.4 billion. AWS is twice as big as Google Cloud, but Google Cloud matched them on this incremental new growth. Microsoft is three times bigger than Google Cloud, but Google Cloud actually exceeded, by a little bit, what Microsoft did in Q4 over Q3.04:27 — Those numbers in any other industry would absolutely be astonishing, unprecedented. In the Cloud Wars, though, as good as those AWS numbers are, it's only third-best. Oracle is expected to grow 40% to 44% in numbers that will come out in about a month, when it reports its most recent quarter. Microsoft is bigger than AWS, and it's growing faster. Visit Cloud Wars for more.

In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities and Cloud Wars, sits down with Dona Sarkar, Chief Troublemaker, Enterprise AI Advocacy at Microsoft, to explore what it really takes to move AI agents and copilots from experimentation into production. Their conversation previews Sarkar's keynote at the 2026 AI Agent & Copilot Summit NA and dives into practical adoption, human-centered AI, and lessons learned from real-world enterprise deployments.Key TakeawaysEnterprise advocacy bridges the gap: Sarkar explains that enterprise cloud advocacy exists to translate Microsoft product capabilities into practical, real-world business solutions. Rather than selling tools, her team focuses on enablement — creating demos, workshops, and labs that show how AI agents, Copilot Studio, Azure, and Power Platform can actually be deployed inside organizations.Production is harder than experimentation: Building an AI agent is easy; deploying it responsibly is not. Enterprises struggle with permissions, ownership, data readiness, and governance once agents move into production. These challenges reveal why successful AI adoption requires cross-functional collaboration between IT, business units, and governance teams.Not all work should be automated: Sarkar cautions against replacing meaningful human interactions with automation simply because it's possible. Instead, organizations should focus AI on prioritization, analysis, and repetitive tasks — freeing humans to spend more time on creativity, judgment, and relationship-building. “We really need to go draw a big old line in the sand and say, these should be uniquely human to human activities," she says. "These should be uniquely AI to human activities. These should be uniquely AI to AI activities.”Human connection matters more than ever: Despite fears that AI would reduce in-person interaction, both speakers observe the opposite trend. Conferences and professional gatherings are thriving because people crave perspective, not just information. While AI can surface data instantly, point of view comes from lived experience.Failure is part of responsible AI adoption: Sarkar openly shares that "The number of agents I've had to take down is probably like 50% of the agents I built.” These failures weren't wasted effort; they informed better tooling, clearer governance, and improved workflows. Microsoft's rapid release of new AI tools reflects lessons learned internally before being shared with customers. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I spotlight why SAP's AI and data strategy is changing the enterprise game.Highlights00:02 — We've got more changes to dig into here on the Cloud Wars Top 10, as we saw SAP soar up to number four. SAP had held the number five spot for a couple of years now, and moved up to number four. All those companies in the enterprise application space now have morphed into applications, agents, AI, and data companies, not just simple application companies anymore.00:42 — So, in this fast-changing environment, SAP has really stood out by dramatically outgrowing its other very, very capable competitors. I call these four pieces of the SAP portfolio the Four Horsemen of Business Transformation. So, those include Business Suite, Business AI, the Business Data Cloud, and the Business Technology Platform.01:40 — So, for SAP, its growth rate in its most recent quarter is 27%, and its cloud revenue is $6.14 billion. Microsoft came in second place with its Dynamics 365 enterprise apps, up 18%. SAP grew 50% faster. Workday, 14.6%, $2.24 billion. Oracle, overall apps were up 11%, $3.9 billion.02:50 — So, healthcare lagging there for Oracle, and then Salesforce, the biggest at $10.3 billion, but grew 8.6%. SAP grew about three times faster, which is a 200% differential there. What's interesting about this is business leaders looking to expand what they're doing with enterprise applications, especially to help transform their businesses, to get into the AI economy.03:45 — So, in a wide-open field with lots of choices, terrific competition, SAP stands out as the high-growth leader. Now, it's a little clunky to say enterprise apps, AI, agentic, and data, so if anybody comes up with a real code name for this, let me know. We'll see what happens there, and if you come up with a great name for it, you get a Cloud Wars beer mug. 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, 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.

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 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 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 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.

2025 was a year of seismic shifts in tech, as AI surged into a critical growth phase with massive investments, partnerships, and global trade battles over chips. Intel and HPE restructured for the AI era, quantum computing made strides with Microsoft, Google, and Cisco advancing real-world applications, and cloud giants struck multibillion-dollar deals. Meanwhile, strategic acquisitions reshaped the landscape—Lenovo, SoftBank, Google, Qualcomm, Anthropic, and more strengthened AI, cloud, cybersecurity, and quantum capabilities—highlighting a year defined by scale, innovation, and high-stakes competition across the technology ecosystem.Time Stamps0:00 - Cold Open0:17 - Welcome to the Tech Field Day News Rundown 1:09 - AI is at an Inflection Point, Who Really Controls its Future?4:58 - Intel at a Crossroads: Layoffs, Leadership Change, and the Fight to Stay Relevant in AI9:31 - The Internet Is More Fragile Than You Think14:33 - HPE Under Pressure and on the Move20:39 - The Global AI Trade War Heats Up27:10 - Quantum Computing Is Moving From Hype to High Stakes30:55 - Cloud Wars Heat Up as Tech Giants Expand AI Infrastructure33:33 - Billion-Dollar Deals Changing and Redefining the Future of AI and Cloud37:53 - Upcoming Tech Field Day Events in 202643:30 - Thank You to our Guest Cohosts in 202545:27 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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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 this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP's Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.SAP's AI Data FutureThe Big Themes:SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.Developers Are 'The AI Revolution': Developers aren't observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP's decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."More from Michael Ameling and SAP:Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.  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 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.

In today's Cloud Wars Minute, I talk about recent announcements from Salesforce's Dreamforce event as well as the company's move into new territories.Highlights00:15 — At Salesforce's Dreamforce, Marc Benioff described the event as the biggest one ever. Dreamforce highlighted product announcements, particularly around the Agentforce AI platform, and expanded partnerships.00:30 — One of the most intereseting pieces of this was the new reality of agentic AI with Agentforce and the rise of Salesforce Data Cloud giving the company the opportunity to move beyond the traditional boundaries of CRM into other industries, including supply chain. It's very clear that Salesforce is looking to expand its territory.01:21 — In his keynote, Marc Benioff talked about big customers, including Dell. The customer company had been facing major challenges and turned to Salesforce to overcome, modernize, and incorporate more automation and intelligence to make better decisions. So, Dell has been working with Salesforce Supply Chain which came through the acquistion of Regrello. Visit Cloud Wars for more.

In this special Cloud Wars interview, Oracle Executive Vice President for Applications Development Steve Miranda joins Bob Evans to discuss how Oracle's transformation from CloudWorld to AI World signals a seismic leap in enterprise technology. Miranda shares how Oracle has delivered more than 600 agents, launched the Agent Studio and Marketplace, and unified AI capabilities across its Fusion Applications and industry verticals. The result: a powerful convergence of data, intelligence, and automation driving the next wave of business transformation.AI-driven EnterpriseThe Big Themes:Oracle's Next Seismic Shift: Oracle's renaming of CloudWorld to AI World isn't a branding exercise, it's a declaration. Just as “OpenWorld” and “CloudWorld” reflected past technology revolutions, “AI World” marks Oracle's belief that AI represents a shift of even greater magnitude. Miranda describes this era as one where automation and intelligence redefine enterprise operations. Oracle's applications division is now delivering hundreds of AI-driven agents and features at unprecedented speed.Agents Everywhere: In just two years, Oracle has gone from announcing 50 generative AI features to delivering over 600 agents across its Fusion and vertical applications. These agents automate tasks, surface insights, and optimize processes, often eliminating manual decision-making entirely. Oracle's rapid release cadence (quarterly updates backed by Oracle Cloud Infrastructure (OCI)) means customers constantly inherit new capabilities without disruption.OCI, the Engine: Oracle's leadership in hosting and training large language models within Oracle Cloud Infrastructure (OCI) gives its applications a built-in edge. Customers automatically benefit from the latest AI tools, performance improvements, and model upgrades without manual migration. OCI's second-generation architecture, featuring Exadata, cloud-native identity, and networking, delivers both reliability and continuous innovation.The Big Quote: “For many of our customers, it's great timing to have AI delivery, because they've gone live. They've gone through multiple phases. They're on the cloud. They're used to getting quarterly updates. Now, this is a big thing, but they're used to that people part of the transformation." Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explain how Palantir's unique model and alignment with AI trends earned it a spot in the Top 10.Highlights00:14 — Well, one company that has hammered its way into the Cloud Wars Top 10 is Palantir. With regret, I have to say farewell to Snowflake. So, I've noted here at the top a couple of numbers: 48% revenue growth for Palantir in its recent fiscal Q2. That pushed its revenue to just over $1 billion, which gives them a $4 billion annualized run rate.01:39 — But I think the reason that's so high is there's an alignment between the demands that businesses have right now—to get their data in order, get their processes in order, their workflows, put things together seamlessly, to be able to take full advantage of what they're doing with AI. That matches up with the unique software capabilities, architecture, and business model Palantir has.02:26 — Palantir takes those desired business outcomes and engineer backwards, using its very powerful but flexible software to determine the right approach. I've got a detailed interview with Chad Walquist, an executive at Palantir. Chad said is that they've got about 100 salespeople. He said, “You know, maybe, if we really do a rigorous count, maybe it's 150, but it's not more than that.”03:17 — Palantir defies the notion of being plugged into any of the old-fashioned and somewhat tired industry analyst boxes. I think more of the big software companies are moving in that direction — doing what customers want and need, rather than trying to fit into some narrowly defined boxes that industry analysts have cooked up.04:42 — Chad's title at Palantir is Architect. He's got an illustrious background as an enterprise architect, but I think, as you'll see in this video, he's also the person at Palantir who handles a lot of product marketing and marketing overall, a lot of their strategy, and so forth. It's a very different sort of company, and Chad does a fantastic job of describing what those differences are. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I examine how Christian Klein's stance could shift the entire European tech economy away from imitation toward AI-driven transformationHighlights00:20 — A few months ago a lot of countries within Europe were saying, “What we need to do is build hyperscalers to match the ones based in the U.S.” Now, SAP CEO Christian Klein stood up and said, “That's nuts. Let's not do that. There's a very different way to go on this.” And over the past few weeks, we've seen some significant investments coming from SAP.01:12 — The investments are great, and all those ideals about wanting to have data privacy, data security, all valid in the AI Revolution. What really stood out here, more than these investments, was: think about what might have happened had the European Union spent trillions of dollars to keep up with the hyperscalers.02:10 — SAP has a whole new plan for the sovereign cloud. Its Executive Board Member Thomas Saueressig has been involved in this. He said, “We want to have a sovereign cloud that gives the greatest safeguards and compliance to customers, and also gives them a great deal of choice. We want to keep this open for lots of partners to work with us.” But that's the direction it's taking. 03:13 — So, we've got SAP pledging to invest, over the next few years, $22 billion in its sovereign cloud. Just the other day, I noted something about how Oracle, Microsoft, and OpenAI—now it's about a trillion dollars that they're pumping into these AI data centers. That's really not the place for the European economy to go. And I give Christian Klein credit:.04:14 —SAP partner AWS has now pledged about $8.5 billion for the AWS European Sovereign Cloud. I also thought it was interesting that SAP Chief Technology Officer Philipp Herzig came said, “We've got cloud sovereignty, we've got data sovereignty—now we need to be sure that SAP is a leader in AI sovereignty.”05:00 — So, fascinating time here on the technology front. I think SAP is going to continue to do very well with its sovereign cloud efforts. But I think even more than that, its CEO, Christian Klein, really stood out. He did a great service by getting them off of this idea of imitating what's already been done. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at how Oracle's new co-CEOs plan to blend AI, OCI, and industry expertise into a powerful growth equation.Highlights00:13 — Big things happening at Oracle. Safra Catz has stepped over and up to the role of Executive Vice Chairman, opening the door for two new CEOs at Oracle: Clay Magouyrk, the leader of their Oracle Cloud Infrastructure business, and Mike Sicilia, the leader of their industries business. I thought it was fascinating.01:00 — Mike Sicilia, co-CEO, said in this discussion with financial analysts that AI enables new opportunities across industries, not just within an industry. With AI and better sets of data and being able to use OCI's computational power of OCI, new operating models and relationships can be created across industries like banking and healthcare and many other combinations.02:25 — And so he said the foundation on the technology side — which Clay Magouyrk has been leading so much — is to enable all the leading large language models to work with enterprise-level data in a highly private and secure, fully compliant way. That's why the Oracle Database 23AI was specifically designed for that.03:22 — Now I think this is one of those cases where we see companies pushing a vision. In this AI revolution, it's important for that vision not just to be a slightly better version of what we've done in the past, but something completely different. I think big vision, big imagination, and big risk-taking are called for here.04:34 — Then, closing out the call, we had comments from Magouyrk and Sicilia, and in a longer article today on Cloud Wars, I go into some detail on that. I allow Sicilia to explain with a lot more color how these cross-industry ecosystems will work, and Magouyrk also offers some perspective on that. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I break down how Oracle's $455 billion RPO surge is being driven by Larry Ellison's bold vision to lead not just in AI training — but in the even larger market of AI inferencing.Highlights00:46 — First, Ellison talked about AI training. Then, he discussed AI inferencing, which will be much, much bigger than AI training. Ellison said that AI inferencing will be used for everything — from robotic cars, robotic factories, and robotic greenhouses, to biomolecular synthesis to come up with new drugs.01:20 — He said, “We think Oracle is particularly well-positioned to go after this because of Oracle's history.” He said AI inferencing is the key, and Oracle is going to succeed because it's going to be able to provide data of multiple types for businesses that they can then use with these AI-trained models to be able to answer any sort of questions.02:33 — So Ellison thinks, therefore, business customers using Oracle Database and Oracle AI, Oracle inferencing, will be able to get any question answered they want, and that will also help them develop the AI agents that Oracle goes deeply into. Ellison and Oracle are redefining the whole nature of what data means, what AI means, what's possible.03:42 — CEO Safra Catz said she thinks that it won't be long before Oracle has RPOs above half a trillion dollars. So they're doing some remarkable things. Larry Ellison has always been a master of the long game. We're really seeing this play out here, and it's, I think, very interesting to see how he perceives these two multi-trillion dollar markets04:15 — The Oracle way is to go after them both, AI training and AI inferencing. No doubt there'll be lots of competitors. It's going to be a great market — great opportunities for businesses. And as we always say, the biggest winners in the Cloud Wars are always, always the customers. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I discuss Oracle's amazing Q1 results.Highlights00:17 — Oracle yesterday released its fiscal Q1 results for the quarter ended August 31. And while its revenue figures for those three months were nice, the killer here was its RPO: remaining performance obligation. Oracle reported remaining performance obligation up 359% to $455 billion.01:24 — Microsoft's cloud revenue is almost seven times bigger than Oracle's. Who's winning the most business out into the future? Several weeks ago, Microsoft reported its RPO was up 37% to an astonishing $368 billion, the biggest RPO number I had ever seen. Several weeks later, we see Oracle blow that away. It's got an RPO nest egg out there that is 25% bigger than Microsoft's.02:35 — Now, Oracle CEO Safra Catz, in perhaps the understatement of the year, said, "Oracle is off to a brilliant start in FY26." My point there is, I've just never seen anything like this. Astonishing. And we can point to the OpenAI deal that's due to start in a few years, where OpenAI has contracted with Oracle to pay Oracle $30 billion a year for Oracle Cloud Infrastructure.03:09 — Catz referenced a number of gigantic contracts that Oracle has signed, and they'll be talking about more soon. Catz did take the unusual step of projecting future revenue for Oracle Cloud Infrastructure — OCI — and its growth over the next five years, including the current year we're in. And I want to emphasize: These numbers don't include Oracle's cloud applications business.03:50 — So, for this year — FY26, ending May 31, 2026 — OCI revenue will grow 77% to $18 billion. Then next year, up 44% to $32 billion. Then it's going to take a spectacular leap — up 128% to $73 billion. I believe that's when the OpenAI revenue starts to kick in. Then 56% to $114 billion for fiscal '29. Fiscal '30, up 26% to $144 billion. Again, I've never seen any numbers like this.05:06 — It's a very different approach Oracle has taken. These numbers show just an astonishing future for Oracle, and I think it's fair to say too that these results from Oracle — and the indication of its future success — have definitely, completely rattled — turned upside down — the balance of power in the Cloud Wars. Oracle is the hottest hyperscaler in the world now, by far and often. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I dive into Snowflake's record-breaking Q2 performance and explore how CEO Sridhar Ramaswamy is positioning the company for long-term AI-driven success.Highlights00:14 — Snowflake has been a remarkable story of growth and achievement—category creation here around the AI Data Cloud—and it reported last week a very strong Q2 with product revenue up 32% to $1.09 billion. That's the first time it has topped $1 billion. That's the good news. The bad news is that the competition is really intensifying.01:16 — CEO Sridhar Ramaswamy said, “We're also trying to continue to push out new AI solutions and technology as rapidly as possible.” There are startups and similarly sized companies, such as Databricks and Palantir, coming after it in that core market. But also bigger players (SAP, Oracle, Microsoft, Google Cloud, and others) are getting more deeply into this AI Data Cloud space.02:06 — Ramaswamy feels that Snowflake is very well positioned around this end-to-end data lifecycle spot that it has. He has been repeating relentlessly over the 18 months he's been CEO that businesses cannot have a successful AI strategy unless they first have a successful data strategy and are able to execute on that data very, very forcefully and consistently.03:30 — I mentioned Palantir, talked about them some last week—and the phenomenal Q1 it had. It grew 48%. So I really applaud Snowflake for 32% growth. But here's Palantir in a similar space—analytics and AI—growing 48%, which is a 50% higher growth rate than what Snowflake just posted. Databricks is growing very rapidly as well, doing some good things.03:54 — Lots of competition there, but—as always in the Cloud Wars—the biggest winners are always, always the customers. Later, we'll have a long, detailed article on Cloud Wars about Snowflake's Q2 results, perspectives from Ramaswamy, and some of my own thoughts about how this all shapes out. Visit Cloud Wars for more.

How do you win when your competitors are the biggest companies in the world?This week on Grit, Dropbox co-founder and CEO Drew Houston retraces the path from a bus-stop prototype to competing head-on with Google, Apple, and Microsoft.He explains why grit is “learning to run toward discomfort,” and the moments he realized founders keep going “for the love of the game.”Guest: Drew Houston, Co-Founder & CEO of DropboxChapters:00:00 Trailer00:52 Introduction01:35 Towards full autonomy16:20 Coming back to school21:45 Golden ticket to California25:23 No one's born a CEO28:15 Y Combinator and a co-founder37:53 The craft of being a great CEO53:41 Metabolizing the stress1:10:14 Tactical advices and frameworks1:27:48 Who Dropbox is hiring1:29:35 What “grit” means to Drew1:32:10 OutroLinks:Connect with DrewXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins

 In today's Cloud Wars Minute, I unpack the strategy behind Microsoft's $368B in contracted cloud business and Q4 surge.Highlights00:39— CEO Satya Nadella explained what was behind this huge growth in Microsoft's Azure revenue in Q4, which ended June 30. Overall cloud revenue for the quarter was up 27% to $46.7 billion. This is the first time it's ever released any revenue figures for Azure.01:14 — Azure was up — I think it was 34% — to more than $75 billion. So, I divided four into 75, got almost $19 billion. It said it was “more than,” so I'm going to go with Q4 Azure revenue of $19 billion. And in Q4, it grew 39%. So 34% Azure growth for the year, spiking in Q4 to 39%. And its RPO (remaining performance obligation) was up an astonishing 37% to $368 billion.02:09 — Nadella pointed to, first, classic migrations from on-prem to the cloud. He cited an enormous initiative that Microsoft undertook with SAP to move Nestlé's huge SAP estate from on-prem to the cloud. He talked about cloud-native applications scaling very rapidly.03:16 — And third, he talked about AI workloads: the investments that Microsoft is making and the progress it is making on building out its infrastructure for Azure to be able to handle all of this new and rising demand. And he bristled a little bit at the notion that some other hyperscalers are doing more in the way of data centers and regions and gigawatt capacity and data center capacity04:22 — So again, an extraordinary quarter there from Microsoft Azure, sort of at the heart of so much of this. We'll have a lot more detail on this in an article that we'll be posting later this morning on Cloud Wars. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I discuss Satya Nadella's bold Q4 claim that Microsoft is the #1 cloud provider, leaving rivals to fight for second place.Highlights00:12 — Microsoft laid out a very clear, unmistakable story in Q4 that it is the biggest and right now certainly the most powerful, most influential cloud provider. CEO Satya Nadella used the opportunity of these unprecedented financial results to spread the word that, “We're number one, and all of the other hyperscalers — Google, Oracle, and AWS — can fight for the number two spot.”01:06 — Q4 cloud revenue was up 27% to 46.7 billion. Full year cloud revenue was $168 billion, up 23%. One that really blows me away, its RPO for Q4 was $368 billion up 37%, so that is remaining performance,obligation, contracted business not yet recognized as revenue. Then for Azure, for the full year, $75 billion and a 39% growth rate in Q4. So pretty powerful stuff.02:04 — Nadella said, "We're the leaders in breadth of AI products and AI infrastructure." He said, "In our overall tech stack, nobody can touch us, and that's how we're able to deliver at this scale." He said, "We have more data centers than anybody else does," cutting against some claims that have been made by Oracle and others. "We are outperforming everybody else."03:16 — I thought it was interesting that, without identifying those specific companies, he referred to our competitors and that we're doing more than them. Now, I think this was a smart move by Nadella, right? Because we're not talking about some technical features — these are the technological foundations that business leaders will be betting the future of their companies on.03:55 — So, the hyperscalers with the best overall capabilities are going to be the ones that those business leaders tend to go with. I think it's a smart move by Nadella here to say, in my view, here's where we stand. We're out ahead of the others on all this. Now, I'm sure Google Cloud, Oracle, and AWS will have their own points of view on this, and I would encourage all of them to speak up.04:20 — I'm not talking about name-calling, but a very clear and well-articulated, reasoned, customer-oriented set of here's where I stand versus competitors here. I was glad to see this from Microsoft. I hope everybody does it, and later this morning on Cloud Wars, I'll have a detailed article offering the verbatim comments that Nadella made about these different subjects. Visit Cloud Wars for more.

The Investing Power Hour is live-streamed every Thursday on the Chit Chat Stocks Podcast YouTube channel at 5:00 PM EST. This week we discussed:(02:52) Cloud Providers: AWS, Azure, and Google Cloud Analysis(12:19) Figma IPO: Valuation and Market Implications(28:38) Remitly's Growth Amidst Market Challenges(34:21) Evaluating Growth Potential in Stocks(36:26) Innovations in Digital Finance and Remitly's Strategy(41:00) Airbnb's Market Position and Growth Challenges(50:52) Coupang's Expansion and Competitive Landscape(57:43) OpenAI's Valuation and Market Dynamics*****************************************************JOIN OUR NEWSLETTER AND CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: ⁠https://fiscal.ai/chitchat *********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

In today's Cloud Wars Minute, I reveal why AWS's growth, though strong in isolation, looks sluggish compared to its peers.Highlights00:29 — We're seeing a distinct split looking at the Q2 numbers. We've got three sprinters — Microsoft, Google, and Oracle — and we've got one stroller, which is AWS. Now, also, just a quick detail: the first three companies — Microsoft, Google, and AWS — all follow the quarterly calendar pattern.01:30 — Microsoft in Q1 grew 20% to $42.4 billion. In Q2, that growth shot up from 20% to 27%, revenue for Microsoft Cloud was $46.7 billion. Google: Q1, 28% growth to $12.3 billion. Q2, that growth accelerated from 28% to 32%; revenue reached $13.6 billion. Oracle: 23% growth in what I'm calling Q1 to $6.2 billion. That growth jumped to 27% in its most recent quarter: $6.7 billion.02:39 — Oracle has guided that its fiscal 2026 RPO — that'll end May 31 — will grow 100%. So while its cloud revenue currently isn't that big, its RPO is enormous, and its growing very fast there. Now, here's the outlier: AWS. Q1 grew 17% to $29.3 billion. Come over to Q2 — again, it was the slowest growing — 17.5% to almost $31 billion.03:21 — I think the point to look at here, though, is all four of the companies' growth accelerated from Q1 to Q2. But while the others all showed significant jumps in growth rate Q1 to Q2, Amazon — or AWS — was a modest half-point: from 17 to 17.5%.04:01 — Taking their total Q2 revenues, who got what chunk? Microsoft: 47%. Google: 13.9%. Oracle: 6.8%. AWS: 31.6%. Who is grabbing more of the new business? Who are customers — right here, right now — signing up with? Look at AWS: 31.6% of the total, but only 20.8% of the new revenue meaning that it is taking less share than its overall size and mass would indicate.05:19 — Now, AWS — I will say before I close here — it's perhaps unfair, in the category of, you know, "life's not always fair," that AWS — almost at about a $30 billion scale — grew 17.5%. And in any other industry, at any other time, that would be lauded as absolutely stunning and fantastic. But compared to their competitors, it's not doing as well. So it's a wild time in the Cloud Wars. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I spotlight the 30% surge in $20M+ customers as proof of ServiceNow's enterprise momentum.Highlights00:48 — Let me briefly touch on some of the key numbers from ServiceNow in Q2. So, the top line there: Subscription revenue was up 22.5% to $3.11 billion. Big jump in total RPO, or Remaining Performance Obligation, up 29% to almost $24 billion. I want to point out, too, the subscription revenue growth in Q2 — 22.5% — that's a big jump from the Q1 growth rate of 19.1%.01:29 — Very nice acceleration by ServiceNow. Customers spending at least $20 million has gone up 30% year over year. ServiceNow has 528 customers spending at least $5 million with them in annual contract value. On the call, McDermott said: “People and AI together will create new business and new discoveries and will catalyze economic growth in every corner of the world.”02:30 — It's too easy to fall into the trap of saying, “Oh, AI is going to wipe out a lot of jobs.” It's also going to create incredible new opportunities. McDermott also said he was really focusing on this term of “AI work.” He said AI work is going to be cross-functional. He said this will lead to big changes in org charts — they're going to be very different from how they were before.03:28 —McDermott talked about the unique role that ServiceNow plays in the industry. It's not an applications company. It's not an infrastructure company. It's an AI platform company. And it has found a way to be able to collaborate with almost all of the Cloud Wars Top 10 companies, and do so in a way, as McDermott likes to say, where for ServiceNow to win, no one else has to lose.04:31 — So, bullishness out the ears McDermott on this earnings call. Not only is the company doing well, but more importantly, as he said over and over: “Our customers are doing well and doing things they were never able to do before.” So, heady times here in the Cloud Wars. Visit Cloud Wars for more.

This week, we discuss Apple reversioning macOS, the steady state of private cloud, and Snowflake's acquisition of CrunchyData. Plus, the eternal quest for a 5-star Uber rating. Watch the YouTube Live Recording of Episode (https://youtube.com/live/2_81_RK24u0?feature=share) 522 (https://youtube.com/live/2_81_RK24u0?feature=share) Runner-up Titles Saudi crypto money You know what humans like? 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SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Snapware Pyrex 18-piece Glass Food Storage Set (https://www.costco.com/snapware-pyrex-18-piece-glass-food-storage-set.product.100358145.html) Matt: Rick Rubin: Vibe Coding is the Punk Rock of Software (https://a16z.simplecast.com/episodes/rick-rubin-vibe-coding-is-the-punk-rock-of-software-9QhxjZpI) (A16Z podcast) Photo Credits Header (https://unsplash.com/photos/man-driving-vehicle-with-gps-system-turned-on-kARZuSYMfrA)