Jared Spataro

Microsoft CEO Satya Nadella shared insights on the artificial intelligence platform shift, describing it as being in the "middle innings." He emphasized Microsoft's systems-based strategy, aiming to cover every layer of the AI stack to democratize the technology effectively. Read more about his approach here: [Link to the article](https://lnkd.in/gU_jk2NM). #AI #Microsoft #TechnologyLeadership

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Becoming Frontier: How Leading Organizations Partner with Microsoft to Go Further with AI AI is reshaping industries at an unprecedented rate, empowering companies to solve complex challenges, eliminate the mundane, and amplify human creativity. Microsoft’s customers are at the heart of this transformation—using our responsible, secure AI platforms to push boundaries and realize their ambitions. Here’s how some of our customers are going further with AI: - ADNOC: Unified 16 legacy HR processes into “OneTalent”, enabling every employee to be an AI collaborator. Predictive models on ENERGYai and Neuron 5 reduced plant downtime by 50%, and accelerated workflows from months to minutes. - BlackRock: Aladdin platform AI saves hours per client for relationship managers, streamlines compliance coding, and enables portfolio managers to make faster, data-driven decisions—enhancing service and compliance across 20 applications. - Epic: Agentic personas like “Art” cut after-hours clinician documentation by 60% and reduced burnout by 82%. AI boosted lung cancer detection rates to 70% (vs. 27% national average), and improved rare disease diagnosis for 13 million cases. - Harvey: Automated legal research and analysis for 74,000+ professionals. Attorneys now save 25 hours per month, and contract review times fell from hours to seconds with AI-powered document management. - Kraft Heinz: “Plant Chat” platform and AI deployments across factories yielded a 40% supply-chain waste reduction, 20% better sales forecast accuracy, and $1.1 billion in operational efficiencies since 2023. - Manus AI: Enabled multi-agent, autonomous workflows for millions, making large-scale analysis and dashboarding instant—driving strategic planning and rapid research for global users. - Nasdaq: Boardvantage platform with AI summarization saves board secretaries hundreds of hours annually, and meeting minutes features reduce workflow time by up to five hours per meeting. - Ralph Lauren: “Ask Ralph” conversational AI delivers personalized styling advice and frictionless shopping, interpreting user intent for dynamic recommendations. - Schneider Electric: Resource Advisor Copilot saves sustainability managers hundreds of hours per year and Grid AI Assistant reduced outages by 40%, improving response during critical events. - Telstra: Enabled instant, AI-driven customer knowledge access, cutting call handling times by over a minute and reducing repeat contacts almost 10%. Every day, Microsoft’s technology is turning ambition into impact for these Frontier organizations. Imagine what’s possible for your business when you demand more from AI. Read more in Judson's blog: https://lnkd.in/e8Z3rDpZ

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Leading up to Microsoft Build, Satya Nadella and Kevin Scott spoke with Semafor to discuss AI’s growing impact on the software development industry. Their focus was the paradoxical effect of its integration. In other words, how automation is actually increasing the need “for leadership with qualities that are fundamentally human.”   Three trends are shaping the developer workforce of the future:   · In addition to broadening what developers can build, AI is changing how they do it by accelerating coding, enhancing testing and debugging, optimizing deployment, and much more. · Agentic AI promises greater computing power to help people while also minimizing its presence in their daily lives. More than clean lines of code, this massive shift demands authentic human input.  · In the AI era, especially as more Frontier Firms emerge, engineers will be defined as much by their curiosity and creativity as their technical expertise. Spending time with developers at Microsoft Build this week has only reinforced how fast this transformation is happening—and how much creativity and care developers are bringing to it. I’ve come away inspired by the questions and ideas I’ve heard, and I can’t wait to see how this momentum shapes what’s next.   Read the full interview here: https://lnkd.in/gwqhTVsG

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Workato's Enterprise MCP Servers are by far one of my favorites products to market in this AI craze. Why? Because they are turnkey. Easy to deploy. And cover the most common use cases with the apps you already love and use to run your business. But the real reason? Workato's Enterprise MCP platform offers a governed control plane that makes any AI agent enterprise-ready from day one. Security. Audit trails. RBAC. Composability across systems. The stuff IT needs before they'll let AI touch production. Most teams are stuck choosing between: → Building MCP servers from scratch (slow, fragile, expensive to maintain) → Letting AI connect to systems with zero governance (risky, unscalable) Workato is the middle way. Here is the latest batch of pre-built MCP servers released this week. We're releasing new pre-built MCP servers every Monday. Follow along! #mcpMonday #enterpriseMCP #agentic #ai #gotomarket https://lnkd.in/gHjZyE9M

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Big Tech's AI Spending Spree "Financial stability has levels to it, as we can see with each hyperscaler. And as these company execs stumble through their mid-life crises, they’re willing to do almost anything to grasp this AI moment. Including weakening their own financial standing to spend billions on data centers, while AI applications remain elusive for most businesses." https://buff.ly/ipO2E4L by Callie Cox

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The challenge of IT complexity is nothing new, but many have assumed that recent AI innovations could be the answer they've been looking for. Yet as Raghav Potluri rightly points out, many organizations can’t use AI to solve their IT problems because their IT problems prevent them from using AI. According to F5's State of Application Strategy report, 96% of organizations are deploying AI models, while 73% want AI to optimize their application performance, At the same time, 60% of IT professionals say their organizations are "mired in manual operational tasks", undermining AI adoption. The answer is clear: the solution to the IT complexity problem isn't more technology: it's more discipline. To this accomplish: 1. Resist the urge to add more vendors when existing ones don't meet your needs. Instead, invest time in fixing the relationships you have or making deliberate vendor consolidation decisions. 2. Audit your API landscape ruthlessly, asking yourself whether each API is truly necessary. 3. Standardize before you automate, You can’t effectively automate chaos — you have to organize it first. 4. Treat vendor selection as infrastructure architecture. Always ask: "Will this reduce or increase our operational complexity?" If the answer isn't clearly "reduce", don't implement it. #AI #DigitalTransformation #EnterpriseArchitecture #DigitalAgility

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Great to see Microsoft announcing support for Google's open Agent2Agent (A2A) protocol which enables interoperability between AI agents across various platforms, clouds, and organizations. By adopting open protocols like A2A and MCP, industry can catalyze the growth of the "agentic web," where AI systems communicate and collaborate effectively https://lnkd.in/gagbHv65

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We’re excited to announce that Anthropic has added new tools that allow Claude in Microsoft Foundry to bring advanced reasoning, agentic workflows, and model intelligence to #healthcare and #lifesciences industries. Built on Azure’s secure, enterprise-grade foundation, Foundry ensures these capabilities scale responsibly while integrating with familiar Azure services for data, compliance, and workflow automation. https://msft.it/6047t7yRU

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I read this article recently by Byron Rader, VP of Digital & App Innovation at Microsoft, and it stirred up a bunch of ideas that stuck with me. It was his piece on Microsoft’s AI growth, and it just made it super clear that "yeah, improvements are good, sure, but breakthroughs?" →That’s what flips the whole script. →That’s what actually changes business. Most leaders focus on improvement. Few focus on breakthroughs. Improvement is incremental. Breakthroughs are exponential. Improvement tweaks the system. Breakthroughs rewire it. Improvement asks, “How can we do this better?” Breakthroughs ask, “What’s never been done before?” Here’s what I mean: → Microsoft AI’s business is on track to surpass $10 billion in annual revenue, marking the fastest acceleration to that milestone in the company’s history. → Volvo Group used Microsoft Azure AI to streamline invoice and claims processes, saving employees about 850 hours a month. These are not mere improvements. They are breakthroughs. Unprecedented, measurable outcomes that redefine what's possible. The difference lies in mindset. ↳ Improvement maintains the status quo. ↳ Breakthroughs challenge it. Improvement is safe. Breakthroughs are bold. Improvement is about doing things right. Breakthroughs are about doing the right things. So, ask yourself: Are you aiming for better, or are you aiming for different? Because in today's fast-paced world, improvement might keep you in the game, but breakthroughs will change the game. 💭 Leave your thoughts in the comments  ♻️ Repost to your network ✔️ Follow Peter Ketchum ⚙️ for daily insights on org development, psychology, and leadership.

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