Enterprise AI - LTMs and Structured Data
The event official landing page is on AICamp website. If you already registered over there, you don't need to register here again.
Enterprise AI Meetup is a community for AI practitioners building, deploying, and scaling AI inside enterprises. We're bringing together developers, engineers, data scientists, tech leads and decision-makers from enterprises to tackle the hard engineering problems: integration, deploying, governance, data, monitoring, security, scaling, etc.. in production.
At this July edition, 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
Who should attend:
Great fit for AI Engineers, Applied ML Engineers, Forward Deployed Engineers, Data Engineers, ML Researchers, and Research Data Scientists. If your work touches forecasting, risk modeling, or structured data at scale, this is a conversation worth being in the room for.
Speakers:
Tech Talk: Tree-vial Pursuits: How Humble Decision Trees Still Outsmart the Generative Giants
Speaker: Marta Garnelo, Chief Science Officer at Fundamental
Tech Talk: Tree-vial Pursuits: How Humble Decision Trees Still Outsmart the Generative Giants
Speaker: Alexandre Gerbeaux — Head of Applied AI at Fundamental
Panel Discussion: Large Tabular Model Ecosystem: Trends and Applications
Panelists:Jeremy Fraenkel (Fundamental), Alex Gerbeaux (Fundamental), Remy Thellier (Snowflake), Purna Sanyal (AWS)