Overview

Foundation models are getting boring. Agents and RAG are getting interesting. But nothing works without loads of good data in easy-to-use JSON formatting.And there’s the rub: Your GenAI data layer is under-fed, and downstream apps are falling short of their potential because much of your best data is human-generated, locked up in PDFs, PowerPoints, Docs, and other awful-to-transform file types.

Technical Overview

Join us live to learn:

• How to accurately and efficiently transform your range of docs, including complex file types containing a mix of text, tables, figures, and images, into JSON
• How to build scalable ETL pipelines for LLMs with multiple sources and destinations across GenAI uses
• Best practices for IT departments and technical leadership to enable every team with a GenAI data layer fueled by unstructured data
• How to quantify the business impact of your GenAI applications across an organization for productivity and cost savings

Content

You’ll see a code-level demo with step-by-step instructions for unlocking the value of your internal data, then hear in-depth audience Q&A with our Product Leaders and Solutions Architects.Watch this recording to learn how to accurately and efficiently transform your range of docs, including complex file types containing a mix of text, tables, figures, and images, into JSON:

• How to build scalable ETL pipelines for LLMs with multiple sources and destinations across GenAI uses
• Best practices for IT departments and technical leadership to enable every team with a GenAI data layer fueled by unstructured data
• How to quantify the business impact of your GenAI applications across an organization for productivity and cost savings

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