Series 7 - Beyond the Brain-in-a-Jar: The Agentic AI Revolution
The 95% Problem explores why enterprise AI often stalls between pilot and production. Host Rıdvan Yiğit examines the data, architecture, and organizational design gaps that keep most companies from scaling AI. The show focuses on what the small share of successful organizations do differently, with a particular lens on agentic AI. It is aimed at leaders and practitioners trying to move enterprise AI from experimentation to reliable deployment.
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Series 7 - The Debate : Chain of Thought vs. Chain of Action: The Debate That Defines Whether Your AI Investment Will Deliver Strategic Value or Expensive Advice
There are two fundamentally different things that enterprise AI can be. Understanding the difference — and having a clear view of which one your organisation is actually building — is the most important strategic question in enterprise technology investment right now.The first is Chain of Thought AI: systems that analyse data, generate summaries, surface insights, and produce recommendations for h
Series 7 - The Critique : Agentic AI on Legacy Systems: Why Deploying Intelligence on Broken Data Architecture Is the Most Expensive Mistake in Enterprise Technology
The enterprise AI market has a dominant narrative: the models are now powerful enough to handle messy, unstructured, imperfect data. The era of requiring clean data before AI can be useful is over. Ingest everything, let the model figure it out, and deliver value immediately without the slow, expensive work of data architecture remediation.This narrative is commercially attractive. It is also one
Series 7 - Deep Dive: Why Enterprise AI Fails in Production: The Complete Technical and Organisational Deep Dive Into the 95% Problem
The 95% failure rate in enterprise AI deployment is not a headline. It is a diagnostic. And the diagnosis, examined in full technical and organisational depth, points to a specific set of conditions that are present in virtually every organisation that fails to cross the pilot-to-production threshold — and absent in virtually every organisation that does.This deep dive is the most comprehensive ep
Series 7 - The Brief : Why 95% of Enterprise AI Projects Fail Before They Reach Production — The Brief Every Executive Needs to Hear
The numbers are not in dispute. Research consistently shows that approximately 60% of large organizations are actively evaluating enterprise AI. Around 20% progress to meaningful pilot. Fewer than 5% successfully deploy AI into production environments with measurable, sustained financial impact.That is a 75% drop-off between pilot and production. In any other domain of enterprise investment, a 95%
