<style> .responsive-heading { font-weight: bold; font-size: clamp(1.2rem, 2vw, 2rem); line-height: 1.2; margin: 1em 0; } </style> <div class="responsive-heading"> Please Try a Different Browser </div> <p>You are using an outdated browser that is not compatible with our website content. For an optimal viewing experience, please upgrade to Microsoft Edge or view our site on a different browser.</p> <p><strong>If you choose to continue using this browser, content and functionality will be limited.</strong></p>

How to turn business documents into data foundations your AI Agents can rely on

Your AI model is only 20% of the solution. What about the other 80%?

If you have spent any time building production AI, rather than watching demos of it, you already know that AI model provides only a small fraction of the overall solution. The challenge comes with everything you need to wrap around it: the workflow, the governance, automation, and underneath it all, the data.

MIT found 95% of organizations report little to no return on their AI investments. The constraint is not model quality. Generative AI did not create this problem, it made it visible, because for the first time, the quality of your data foundation shows up directly in the ROI of your AI outcomes.

This session gets practical about solving this challenge, exploring how to convert business documents into usable data that large language models and AI agents can trust.

This webinar will explore three approaches to using Generative AI and traditional IDP techniques to complement each other to improve the results from your AI program: converting documents to data, AI-powered extraction and enrichment, and governed knowledge bases. You will leave knowing where extraction ends, where the real value begins, and how to tell which work belongs to which kind of AI.

Join Tom Coppock, Sr. Director, AI Strategy & Research, and learn how to:

  • Look past the model to the 80% that decides AI success: workflow, governance, and data
  • Move beyond transactional IDP use cases to create data foundations for your AI agents
  • Understand the three threads running through all of it: lineage, grounding, and benchmarking

Register now and advance from documents to decisions by turning unstructured documents into trusted, AI-ready data.  

Tom Coppock
by Tom Coppock Senior Director, AI Strategy & Research

Verwandte Ressourcen