Cloud Wars Live with Bob Evans

Cloud Wars Live with Bob Evans

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Cloud Wars Live with Bob Evans episodes

  • Microsoft Launches AI Boot Camp to Accelerate Copilot Adoption

    In today's Cloud Wars Minute, I explore how Microsoft is accelerating business-process transformation with its expanding Copilot and agent ecosystem.

    Highlights

    00:10 — Microsoft has launched a three-day online boot camp covering how to leverage its expansive toolkit for AI-powered work, beginning with a session titled “Copilots and Agents: What’s New and What’s Next?”

    01:01 — Rather than listing every innovation, I want to focus on business process, where some of the most relevant near-term transformations are occurring. Copilot tuning [enhancements], expected by June 2026, will introduce new templates in the agent builder, enabling organizations to customize M365 Copilot for drafting complex documents and matching editorial styles.

    01:49 — Microsoft is also introducing standalone agents, including a project manager agent for task management in Copilot Chat and a knowledge agent that operates in the background fixing links, generating summaries and FAQs, and enriching content with metadata.

    02:18 — Additional agents include a personalized learning agent for micro-learning plans, a sales agent integrating CRM data into Outlook and Teams workflows, a service agent supporting customer teams, and a finance agent bringing ERP-connected data into Excel and Outlook.

    03:12 — Microsoft is acutely aware that despite a massive rollout of Copilot technology, not everybody is clear on how best to incorporate it. This boot camp is a major step forward, because what can be done now with Copilot and Microsoft’s agent AI structures is truly transformational.

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    4 min
  • Microsoft’s Study and Learn Agent Sets New Standard for AI in Education

    In this AI Agent & Copilot Minute, Mason Siefert explores Microsoft’s first integrated learning agent for students, explaining how proactive AI modes like Understand, Practice, and Study are reshaping education beyond reactive digital tutors.

    Key Takeaways

    • Proactive Learning Shift: Microsoft’s newly announced learning agent moves beyond reactive digital tutors by proactively guiding students through structured learning modes. Rather than waiting for students to ask the right questions, the agent actively leads them through concept comprehension, skill practice, and long-term study planning — marking a major evolution in AI-powered education.
    • Three Learning Modes: The agent is built around three core modes — Understand, Practice, and Study. Understand mode delivers clear, multi-step explanations to deepen comprehension. Practice mode reinforces learning through generated questions and feedback. Study mode helps students create structured study plans, integrating material over time to strengthen retention and mastery.
    • Empowering Educators: As AI agents take on structured guidance and reinforcement, educators gain more space to focus on mentorship, instruction, and authentic human relationships. Microsoft’s move signals a broader industry shift toward agent-based learning, setting a new standard that reactive assistants alone are no longer sufficient for modern classrooms.
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      3 min
    • Salesforce Back to Growth Agenda: CRO Milano Shows How

      In today's Cloud Wars Minute, I explain how AI is fueling Salesforce’s renewed push for innovation and scale.

      Highlights

      00:01 — We've got Salesforce now reporting some very nice numbers for its fiscal Q4 ended January 31. The bigger story behind that, I think, is the company is fully recommitted to growth once again.

      01:18 — What Benioff is back to now is to get the company, with the AI Revolution, into a high-growth mode again. Chief Revenue Officer Miguel Milano referred to Q4 as the greatest Q4 ever.

      02:49 — Its RPO for Q4, $72 billion. The growth rate of 14% is pretty nice. That is fully contracted business in the future not yet recognized as revenue. So things definitely turned up there.

      03:13 — Q4 revenue growth was 12%, better than usual, and not all of this accounted for by the Informatica acquisition. It boosted its long-range growth and said we're going to show how the AI revenue is coming in.

      04:59 — At the beginning of the AI revolution, there's so much potential for customers to do things they could never do before. A fully-focused-on-customers Salesforce is going to be great for business, great for customers.

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      6 min
    • AI Agent & Copilot Podcast: Alithya's Chad Weiner on Laying AI Groundwork, Driving AI Impact

      Key Takeaways

      • Laying groundwork: Weiner will be leading a session at the AI Kickstart Preconference, introducing attendees to Copilot Studio and how to build their first custom AI agent. He explains that the session will cover real-world examples and walk through agent creation, deployment, monitoring, and governance to help participants "get the groundwork to take advantage of the future days in the conference."
      • Event takeaways: When discussing event takeaways, Weiner explains that the AI Agent & Copilot Summit will help leaders move from AI experimentation to real execution, turning curiosity into measurable business value across customer service, operations, and employee empowerment. Further, sessions will demonstrate how Microsoft 365 and Copilot Studio agents provide a low-barrier way to build secure, data-aligned AI solutions tied directly to business goals.
      • Gaining a competitive edge: The event brings a unique take to the space as it unites both practitioners and partners to share real-world AI and Copilot use cases, helping make agents more practical, approachable, and grounded in tangible business outcomes to accelerate adoption, says Weiner.
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        10 min
      • Workday CEO Bhusri: Brilliant Take on Apps/AI and Limits of Vibe-Coding

        In today's Cloud Wars Minute, I break down Aneel Bushri’s powerful case for pairing AI with enterprise apps.

        Highlights

        00:02 — There are some wild things going on in the enterprise software business, some of it rational, much of it irrational. But the big issue right now is for customers, partners, and the software vendors, the Cloud Wars Top 10, to figure out what is going to be the right way forward, the optimal mix of AI with enterprise applications.

        01:47 — I think the most important thing here was his [Workday CEO Aneel Bushri] take on the interplay between apps and AI. And also, he just had an utterly classic line about vibe coding. He said there is no amount of vibe coding that will ever produce an HR or ERP system that will meet all the requirements that modern business needs.

        02:25 — "Whatever your problem is, AI is the solution." That's just not true. It's a tool. It's a fabulous tool. Might be the most important tool ever, but it can't do everything. And in his opening remarks on the Workday Q4 earnings call, Aneel Bushri did a great job of breaking that down.

        04:08 — He said the combination of AI and many of the things it can do with its probabilistic capabilities and insights and predictive capabilities, plus the deterministic certainty of enterprise apps, is a really nice pair. He talked about the way forward and how he sees those two dynamics playing together.

        05:18 — I just think he did one of his best jobs ever yesterday to step forward and say: "Here's what's real. Here's what isn't real. Here is the way forward. Here's the best combination for things. Here's the right outcome for customers." Brilliant performance by him on this earnings call.

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        6 min
      • Microsoft Adds Rubrics Refinement and Governance Tools to Strengthen Enterprise AI Agent Operations

        In this AI Agent & Copilot Minute, Mason Siefert outlines how Microsoft’s latest enhancements to Copilot Studio — especially the new tools in the Power CAT Copilot Studio Kit — are designed to bring structure, governance, and measurable quality to enterprise-scale AI agents.

        Key Takeaways

        • Rubrics refinement: The headline feature in the updated kit is the rubrics refinement tool, which addresses a growing challenge in agentic AI operations — how to consistently and accurately grade agent responses. The tool introduces a repeatable feedback loop where teams define evaluation rubrics, compare AI-generated grades with human evaluations, and then refine instructions when the two don’t align. The result is a more systematic, scalable way to ensure automated assessments meet human-level standards.
        • Governance & visibility: Beyond evaluation, the kit strengthens oversight across the AI estate. A new compliance hub automatically flags configuration risks to help teams stay ahead of governance concerns. Conversation KPIs allow organizations to track agent performance without manually reviewing transcripts, and an agent inventory provides a centralized view of custom agents and the capabilities they rely on. Together, these features bring operational clarity to expanding AI environments.
        • Looking ahead: As agentic systems scale, structured coordination between humans and AI will be critical. Tools like the rubrics refinement workflow signal a shift from experimentation to disciplined operations, where evaluation, compliance, and performance tracking are embedded into the lifecycle of every agent. Organizations that formalize these processes now will be better positioned to manage complexity and deliver trustworthy AI outcomes at scale.
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          3 min
        • Microsoft AI CEO Predicts Human-Level Automation of White-Collar Jobs Within 18 Months

          In today's Cloud Wars Minute, I explain why aligning your role with AI may be the key to thriving in the next 18 months.

          Highlights

          00:05 — There's a lot of discussion right now about the impact of AI on the job market. Microsoft AI CEO Mustafa Suleyman has weighed in on this debate regarding the pace of AI innovation and its impact on employment.

          00:53 — “I think that we're going to have a human-level performance on most, if not all, professional tasks. So white-collar work, where you're sitting down at a computer, either being a lawyer or an accountant or a project manager or a marketing person — most of those tasks will be fully automated by an AI within the next 12 to 18 months.”

          01:18 — "Many software engineers report that they're now using AI-assisted coding for the vast majority of their code production, which means that their role has shifted now to this meta function of debugging, scrutinizing, or doing strategic stuff like architecting, putting things into production."

          01:36 — And he explains that this is a very different relationship with AI — one that's evolved a huge amount over the past six months — and things are moving fast. But you don't need to read this with doom and gloom. Focus on the second statement I read out instead.

          01:52 — In that, Suleyman says roles have shifted, and that's the crux of achieving success in the AI Era — recognizing that things are changing and that, to keep up with these changes, you have to orient yourself alongside AI, to align your role to work with AI — not against it, not instead of it, but with it.

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          3 min
        • How AEO and GEO Are Shaping Trusted AI Assistants

          Key Takeaways

          • SEO evolution: Most people prefer having answers given directly rather than searching for them, which is reshaping how information is accessed. As a result, Search Engine Optimization (SEO) is evolving toward AI-driven assistants and agents that deliver faster, more personalized responses than traditional web searches.
          • AEO & GEO: Two approaches emerging from this shift are Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). AEO focuses on making content easier for AI engines to understand, while GEO aims to make that content the trusted source AI relies on when generating future responses.
          • Looking ahead: To implement AEO and GEO, teams need well-structured data and content that directly answers questions. While this is already visible in digital commerce, other sectors like finance will soon see AI engines compare products and assess risk using trusted data sources and trust scores.
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            3 min
          • Microsoft, SAP, Oracle: Cloud at Least 50% of Revenue

            In today's Cloud Wars Minute, I explain why deep on-premises expertise is becoming a strategic advantage in the AI-driven cloud economy.

            Highlights


            00:03 — One of the things we're seeing here in early 2026, as so many things change around the tech industry and customer expectations, is that three old timers in the Cloud Wars Top 10 —Microsoft, SAP, and Oracle — for each company, 50% or more of its revenue comes from the cloud.


            00:56 — So these are, in some ways, the graybeards, and some people have tried to position them as legacy companies, or ones that reflect the past and not the future. I think all three companies have done a fantastic job of moving into a very different sort of future. This legacy term that some people apply to them was initially meant as a put-down.


            01:51 — They've got cloud expertise now, and these three companies, I think, are doing so well in the cloud in part because they understand the traditional landscape that their customers have operated in. Microsoft's total revenue for the quarter ended December 31: $81.3 billion. Of that, $51.5 billion in the cloud — that's 58%.

            03:05 — So this idea of legacy, which was initially meant as a put-down, an insult, that dismissal of these companies — that's one of the silliest ideas that has come along in a long time. I think this also serves as an occasion for all of us to think about some terms and concepts that had a lot of currency in the past that might not in the future.

            04:13 — We've got to look with fresh eyes, a fresh mindset about what's new, what's important, what isn't, and not carry forward the ideas or the models, the templates of the past into what's rapidly becoming a very, very different future. I’ve got a detailed article going into this and offer some more perspectives on this move.

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            5 min
          • AI Agent & Copilot Podcast: Christopher Lochhead on Creator Capitalists and the Future of Work

            In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities and host of the podcast, is joined by Christopher Lochhead, bestselling author of "Play Bigger," to explore the shift from knowledge worker to “creator capitalist.” Lochhead previews his new book, "Creator Capitalist," which he will officially launch at the 2026 AI Agent & Copilot Summit NA in San Diego, outlining how AI and agents are transforming value creation, careers, and leadership in the modern economy.

            Key Takeaway

            • From Knowledge Worker to Creator Capitalist: Lochhead explains that for decades, professionals operated as “knowledge workers,” where “knowledge is power” and execution defined success. But now, AI and agents are "making the value of existing knowledge closer to free every day.” He argues that professionals must shift upstream, focusing on identifying new problems and creating new value rather than executing within existing systems.
            • Execution Is No Longer the Differentiator: For years, leaders were told that “ideas are a dime a dozen” and that execution was everything. But Lochhead bluntly states, human beings "cannot out-execute a GPU.” As agents increasingly automate operational work, doubling down on efficiency won’t protect careers.
            • The Four Capitals Framework: Creator capitalists build a flywheel of four capitals: intellectual, relationship, reputational, and financial. Intellectual capital is your “different”— the differentiated insight and judgment you uniquely bring. Relationship capital determines whose calls get answered. Reputational capital is not a personal brand, but “an earned reputation for results.” Financial capital flows from creating massive value for others. Together, they compound into durable advantage.
            • Radical Responsibility in the AI Era: Lochhead stresses personal accountability: “If your career is a function of somebody else…you’re in trouble.” Waiting for an employer or title to define value is dangerous in a rapidly shifting environment. Instead, professionals must proactively design their trajectory, using AI as leverage to amplify their capabilities and create net-new value, rather than protect outdated roles.
            • Out-Creating the Machine: The defining insight of the episode: “You can’t out execute a GPU, but you can out-create one.” Siefert reinforces that curiosity, creativity, and critical thinking are not soft skills — they are survival skills. Those who embrace the creator capitalist mindset will not just adapt to AI disruption; they will become the most successful value creators in history.
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              22 min

            About Cloud Wars Live with Bob Evans

            From the publisher's feed

            Cloud Wars analyzes the major cloud vendors from the perspective of business customers. In Cloud Wars Live, Bob Evans talks with both sides about these profoundly transformative technologies, and with…

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