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Webinar · October 22, 2026 · 12 PM EST


Enterprise AI – The Unvarnished Truth with Alan Pelz-Sharpe

Why AI deployments fail, and what actually works.

Enterprises have spent four years chasing “probabilistic hype,” confusing the fluency of large language models with actual reasoning. But business runs on arithmetic, rules, and regulations, not hallucinations.

Join industry analyst Alan Pelz-Sharpe for a candid enterprise AI webinar that cuts through the marketing gloss. You’ll learn why bolting AI onto data chaos and legacy processes stalls most deployments, and why deterministic systems and rigorous governance are the only path to real AI ROI.

  • Beyond the Hype: An independent analyst view on what’s really working in enterprise AI.
  • Built on Certainty: Why deterministic, governed AI outperforms “smart guesses.”
  • Production-Ready: A clear framework to move from AI pilot to production.

3 reasons to attend this webinar

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Find Out Why AI Deployments Fail

Most organizations never get AI past the pilot stage. Alan dissects the "Garbage In, Gospel Out" trap and shows why data chaos and inflexible legacy processes sink deployments, plus the warning signs to spot before they sink yours.

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Escape the Smart Guess Trap

Confident-sounding AI answers come at a price: compliance exposure, missed SLAs, and decisions built on fiction. Learn how to tell whether you're solving root-cause problems or just papering over data chaos with AI.

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Move From AI Pilot to Production

Get a clear framework for moving from probabilistic experimentation to deterministic, production-ready AI, grounded in your real enterprise knowledge so it can be trusted, defended, and acted on.

Who this is for

Built for leaders who need AI they can trust.

This webinar is designed for decision-makers accountable for enterprise AI results, and for the technical leaders who have to make AI work in production.

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CIO, CTO, or VP of IT under pressure to show enterprise AI ROI
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Innovation or AI strategy leader separating real value from hype
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Business leader whose AI pilots haven’t reached production
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CDO or Head of Data responsible for AI data readiness and governance
Cummins Pfizer logo logo Exxon Mobil TotalEnergies logo Societe Generale logo BASF Takeda logo Navy Federal Credit Union Logo Capgemini Logo Ciena Akamai logo Airbus logo
With ChapsVision, we are already seeing faster innovation, reduced rework, and a more agile response to market and regulatory demands. ChapsAgents marks a major step forward in the platform, enabling us to unlock the agentic potential of our digital thread across the business.

Oliver Scott Beard Principal Technical Architect – AI Systems, Cummins 

October 22, 2026 · 12 PM EST

In the enterprise, certainty is a competitive advantage.

Probability is just an expensive excuse for bad data. Learn how to build enterprise AI on a foundation you can trust, live on October 22.

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Can’t make it live? Register anyway — the full replay is sent to every registrant.