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Roundtable Peer Insights - January 2026: Hot Topics
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The AI Hype Cycle Avalanche: Agentic AI and Governance Leadership in 2026
In our last article, we argued that AI is neither revolutionary nor magical. For most enterprises, AI has been part of the operating environment for years, even if it has recently acquired new labels and ways of interacting with it. The pace may feel faster, and the language more dramatic,
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Adam McElhinney's AI Framework: Intake, Deployment, Integration
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AI Readiness: A Strategic Workforce Planning Framework
As enterprises recognize the evolving role of data science and analytics within their structures, it becomes crucial to understand how these disciplines have transitioned from isolated tasks within IT and marketing to become central pillars of corporate strategy, shaping the development of dedicated analytics organizations. Initially, analytics was siloed, with
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AI Is Easy to Start and Hard to Finish
Over the past year, almost every conversation I have with analytics and AI leaders starts the same way. There is pressure to “do something with AI.” Boards are asking questions. Business partners are experimenting on their own. Vendors are promising speed, scale, and transformation.And yet, underneath all of that momentum,
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After the AI MVP: Turning Enterprise Data Platforms Into Tangible Impact
The AI market is loud right now. Every vendor is promoting agents. Every roadmap includes autonomy. The public conversation, some of it very influential, almost inevitably drifts toward digital coworkers and self-directed workflows.Inside complex, non-digital native enterprises, the picture is more measured.Most of the data and analytics leaders we work
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The Questions Data and AI Leaders Are Asking Today
In our assessment and advisory work, we are seeing a clear shift in the types of AI questions enterprise leaders bring forward. Early conversations focused on experimentation and tooling. The questions now center on operations, governance, and the growing complexity of agentic systems. Most of the organizations we work with
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1,000 Advisory Conversations, 5 AI Trends
IIA has been helping data and analytics leaders at large, legacy enterprises make the difficult and necessary transition to advanced analytics and AI for nearly fifteen years. Name the AI acronym and we’ve been there: RNN, ML, NLP, RAG, VR, GenAI. Today, agentic is all the rage (acronym TBD). This
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The Next AI Challenge: Moving From Training to Adoption
Turning the page on 2025, I argued that 2026 needs a different mindset on AI. Enterprises need to stop treating AI like a revolution and start treating it like an operating challenge. The point was simple: hype creates pressure, but pressure does not create readiness. Leaders still need sound judgment,
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Agentic AI in Finance: Three Use Cases Delivering Value
At IIA, we advise enterprise data and analytics leaders to resist the urge to deploy agentic AI horizontally across the organization. In our view, the technology is not mature enough to function as a broad enterprise capability. The programs producing results concentrate on specific operational domains where workflows are stable,