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Enterprise AI – The unvarnished truth with Alan Pelz-Sharpe

Enterprise AI – The unvarnished truth with Alan Pelz-Sharpe

Date
22 Oct 2026
Time
12:00 PM EST

This event has already taken place.

Enterprises are drowning in a sea of “probabilistic hype”, having been seduced by the fluency of large language models, confusing a “plausible guess” with actual reasoning. But business runs on arithmetic, rules, and regulations. Not hallucinations.

In this webinar, industry analyst Alan Pelz-Sharpe dissects the harsh reality of the last four years of AI madness. He’ll move past the “Garbage In, Gospel Out” trap, showing why bolting AI onto a foundation of data chaos and inflexible legacy processes means most organizations fail to deploy. He’ll cut through the marketing gloss to expose the “Smart Guess Trap” and argue that deterministic systems and the rigorous governance of data and processes are the only paths to genuine value creation.

In the enterprise, certainty is a competitive advantage. Probability is just an expensive excuse for bad data.

Your real knowledge is foundational to deploying AI so it can be trusted, defended, and acted on, and putting it to work where it matters most.

We are thrilled to partner with and host Alan on this topic.

What you’ll walk away with

  • Why most AI deployments fail, and how to spot the warning signs before they sink yours
  • What the “Smart Guess Trap” actually costs: compliance exposure, missed SLAs, and decisions built on confident-sounding fiction
  • How to diagnose whether you’re solving root-cause problems or just papering over data chaos with AI
  • A clear framework for moving from probabilistic experimentation to deterministic, production-ready AI
  • Next steps you can take if you’re actively looking to close the gap and make real headway at your organization

Speakers

You'll hear from:

  • analyst alan pelz sharpe

    Alan Pelz-Sharpe

    Founder and Principal Analyst, Deep Analysis

  • michael eggleton

    Michael Eggleton

    Product Marketing, Americas, Argonos