Stacey Louie

Read about how the NTIA dispersed billions of $ in grants to Close the digital divide with a cloud-based grants management system. https://lnkd.in/gdhha7C4

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In MSFT CEO Satya Nadella's keynote comments on 3/4, he framed Copilot’s differentiation as emerging from compounding enterprise context within the Microsoft ecosystem rather than any single model or user interface. WorkIQ, the data layer beneath M365, is critical to enabling Copilot to reason statefully across years of meetings, documents, emails, and workflows instead of functioning as a standalone chat experience. As this context deepens over time, it creates what Microsoft describes as "network effects of intelligence," increasing Copilot’s value as organizational data and activity accumulate. Critically, this capability is delivered within Microsoft’s established enterprise permissioning, security, compliance, and observability framework, which CIOs prioritize and which limits the applicability of more open, consumer oriented agent approaches like Openclaw in regulated environments. Microsoft further reinforces this position through distribution, embedding Copilot across Microsoft 365 and GitHub, while continuously optimizing model selection, tool usage, and routing to improve cost efficiency. Overall, MSFT positions Copilot not as a feature or interface, but as a system level platform that expands Microsoft’s TAM as agents proliferate across knowledge work.

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When it comes to business model innovation, it’s not about chasing shiny new ideas. It’s about how they fit - with operational rigor, customer value, and ecosystem strength - that drives long-term success. 🔹 Research of nearly 300 companies across two tech eras reveals: Novelty alone won't guarantee top performance. The magic is in the system design, not just the spark. 🔹 Spotify, for example, revolutionized music streaming through novelty, yes, but also balanced that with efficiency and customer lock-in to dominate. 🔹 In 2025, AI is not just a tool but a strategic lever for business model innovation. According to IBM, 85% of executives expect AI to enable new business models this year, while 44% plan to use AI specifically to drive innovation. Key principles for leaders considering business model innovation now: 1. Pair novelty with operational discipline — don’t sacrifice efficiency for the new. 2. Design to lock in customers by delivering ongoing value. 3. Build complementary partnerships to amplify reach and capabilities. 4. Tailor innovations to your company’s unique context — size, strategy, industry trends. 5. Leverage AI and emerging tech thoughtfully, to transform value creation and capture. The best innovators don’t just do new. They engineer balanced, adaptable systems designed to win in complex markets.

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Feeling grateful (and a bit humbled) to be surrounded by so many talented builders at actAVA: Kevin Riley Frank Wang Deon Metelski Steve Brown Joon Lee Leon Qi 🧠 As AI agents take on more autonomy in our day-to-day work, the gating factor in healthcare isn’t “capability”—it’s compliance to the workflow plan and instructions. That’s the only way we can safely let AI own repetitive tasks end-to-end. And as AI regulations expand—and clinicians and operators become more aware of how often models can be wrong—red teaming shifts from optional to foundational. You need an engine that continuously probes agents with adversarial scenarios, verifies they follow the right steps, and catches subtle failures before they ship. Autonomy in healthcare should be earned through evidence: evals, audits, and relentless testing. That’s what we deliver with Kora — a platform for healthcare AI agents with continuous evaluation, red teaming, and compliance assurance. Read more about our technology in the blog 👇. Any questions, let us know!

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How you buy technology matters as much as what you buy. Marketplace purchasing has continued to increase where buying software and cloud solutions through platforms like AWS, Azure or GCP marketplaces has become one of the smartest ways for organizations to simplify procurement, optimize spend and commitments, and move faster. At Opkalla, we published an article about this because we feel you need to understand some of the benefits and nuances around it and turn this into a strategic advantage. https://lnkd.in/eZJ-m-xu

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Discover how founders can balance efficiency with authenticity when using AI. Learn practical strategies to scale faster without losing trust, voice, and customer connection.

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KPMG US’s leadership is applying generative AI and structured contract review workflows is helping clients surface key insights and drive smarter business decisions, moving beyond static document storage to strategic contract intelligence. Their work with Relativity Contracts is a testament to what’s possible when deep domain expertise meets innovative legal data technology. We’re proud to be in partnership with KPMG as they deliver real outcomes and elevate contract analytics for their clients: https://lnkd.in/ggt97DQE #Legaltech #ContractReview

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NWN CEO Jim Sullivan, Ray Wang of Constellation Research, and Vala Afshar of Salesforce discuss how AI will transform global workplaces, increase enterprise productivity, and drive the next generation of high-growth organizations on #DisrupTV. 𝗪𝗮𝘁𝗰𝗵 𝗡𝗼𝘄>> https://lnkd.in/gh6cGAuv

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When you think of an earnings call, you probably picture CEOs, CFOs, and COOs discussing company performance - numbers, forecasts, and financial metrics. All stats, right? But in today’s climate of geopolitical uncertainty, earnings calls are no longer just about the numbers. Increasingly, leaders are being asked to address broader issues and current events that may affect their business, workforce, or stakeholders. Korn Ferry experts explain why CEOs need to be prepared for any question on an earnings call and why avoiding or sidestepping questions about current events could ultimately have a negative impact on the company. https://krnfy.bz/4lvkhvN

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