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  • What 2025 Revealed About Why AI Initiatives Actually Stall
    Operating Models - Agentic Systems - Enterprise AI

    The hard truth: most AI programs didn’t fail because the models were bad. They stalled because execution was.: What 2025 Revealed About Why AI Initiatives Actually Stall

    December 28, 2025 - By Kinshuk Dutta

    If you’ve wondered why AI initiatives stall after impressive pilots, 2025 gave the clearest answer yet: the bottleneck is operational reality, not model capability. 2025 was the year the “AI gap” became visible: massive excitement and spending on one side, and stubbornly limited production impact on the other. The recurring pattern across reports: AI stalls when it’s treated as a tool rollout instead of an operating-model redesign. Signals from 2025 Why AI Stalls What Works Tanium in 2025 Where the Book Helps Conclusion 1) The 2025 signals were loud Across industries, the story repeated: plenty of pilots, fewer scaled deployments,…

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  • AI, ML & Data Science

    The Next Evolution in Autonomous Intelligence: Agentic AI

    February 17, 2025 - By Kinshuk Dutta

    Artificial Intelligence has come a long way from rule-based systems to generative models that can create text, images, and even software code. However, the next leap forward in AI is not just about generating content—it’s about agency. Enter Agentic AI, a new paradigm where AI systems act autonomously to pursue high-level goals, reason through complex problems, and dynamically adapt to changing environments. “We’re about to empower people more than ever before.” — Sam Altman, CEO of OpenAI [thetimes.co.uk] Why This Blog Stands on Its Own This blog post is not just a continuation of my previous writings on AI but…

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Editor-in-Chief

Kinshuk Dutta Editor-in-Chief, Data-Nizant Forum Enterprise AI, agentic systems, governance, MLOps, and operating models, focused on what works in production.

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