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What Works (and Fails) in Generative AI: Lessons from the Frontlines #120b

What Works (and Fails) in Generative AI: Lessons from the Frontlines #120b

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Jul 23, 2025
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What Works (and Fails) in Generative AI: Lessons from the Frontlines #120b
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AI Appreciation Day: What Leaders Must Know

AI Appreciation Day (July 16) may have started as a marketing stunt—but this year, it’s evolved into a powerful moment for CEOs and decision‑makers to pause and reflect on real-world impact.

  • From hype to enterprise returns: Agentic and generative models are now driving measurable business outcomes—speeding idea validation, streamlining cybersecurity alerts, and turning surveillance into proactive intelligence.

  • Augment, don’t automate: Leadership consensus is clear: AI isn’t replacing talent—it’s amplifying it. Strategic use of AI agents boosts human decision-making in high-stakes, data-rich environments.

  • ROI through integration: Winners link AI to existing workflows, apps, and data. Without full-stack integration, pilot projects die on the vine.

  • Ethics & infrastructure are non-negotiable: Trust, privacy, human oversight, and legacy modernization are emerging as the backbone of scalable AI transformation.

Summary: For CEOs and boardrooms, AI Appreciation Day is more than a symbolic nod—it’s a timely reminder to shift from experimentation to enterprise-grade deployment. Boost human performance, embed AI into core operations, ensure ethical governance, and fortify infrastructure—and your organization won’t just celebrate AI, it’ll lead with it. (Source)


MIT Sloan: How to find the right business use cases for generative AI

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