Enterprise AI for LTMs and Structured Data

Important Note: Register on AICamp website is REQUIRED for admission.

Description:
Join us and FUNDAMENTAL for an evening digging into where LLMs fall short and why enterprises are turning to Large Tabular Models (LTMs) instead. Large Language Models have changed how we work with unstructured data, but most enterprise data still lives in structured tables. It’s here that millions of rows and columns quietly run the actual decisions a business makes. Trillions of dollars in value sit inside these datasets, and traditional LLMs just aren't built to reason over complex schemas, numerical relationships, and high-dimensional tabular data the way they reason over text.

Fundamental's research and applied AI leads will walk through LTMs: a new class of foundation models built specifically to unlock the predictive power of structured enterprise data. Expect a relaxed, conversational evening. Good talks. Good questions. Plenty of time to actually meet the people in the room.

The session will cover:

Why even the most sophisticated LLMs stumble on basic tabular prediction tasks, and where our misplaced confidence in their numerical skills comes from How "humble" methods like decision trees still hold their own against generative giants on structured data
How LTMs differ fundamentally from LLMs in architecture, training, and inference What it actually takes to deploy LTM-powered systems in production

• How these models are already driving more accurate, scalable predictions in data-heavy industries like oil and gas, finance, and manufacturing

Speakers:

Marta Garnelo, Fundamental Alexandre Gerbeaux, Fundamental

• Remy Thellier, Snowflake

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