Cloud Wars Live with Bob Evans

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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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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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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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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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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