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.

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:15pm: Welcome and Community update
- 6:15pm~7:30pm: Tech talks and Q&A
- 7:30pm~8:30pm: Open discussion, Mixer and Closing.

Speakers:

Marta Garnelo

Fundamental

Alexandre Gerbeaux

Fundamental

Remy Thellier

Snowflake

Jeremy Fraenkel

Fundamental

Purna Sanyal

AWS

Tech Talk: Tree-vial Pursuits: How Humble Decision Trees Still Outsmart the Generative Giants
Speaker: Marta Garnelo, Chief Science Officer at Fundamental
Abstract: LLMs have redefined what we expect AI to achieve: natural language, complex reasoning, code synthesis. Given those leaps, it's tempting to assume numerical fluency comes along for free with scale. The reality is more humbling. Even the most advanced LLMs often fail badly at basic tabular prediction. That's a real problem since most of the world's enterprise and scientific data still lives in rows and columns. This talk looks at the gap between a model's linguistic confidence and its actual predictive performance, and asks where our false impression of LLMs' numerical skill comes from.

Tech Talk: Tree-vial Pursuits: How Humble Decision Trees Still Outsmart the Generative Giants
Speaker: Alexandre Gerbeaux — Head of Applied AI at Fundamental
Abstract: This talk covers why LTMs mark a real shift for data science, and how they're being used to solve real-world technical problems LLMs can't handle alone. He’ll discuss how LTMs differ from LLMs in architecture, training, and inference as well as what it takes to deploy them in production and how they're already improving predictions across industries like oil and gas, finance, and manufacturing.

Panel Discussion: Large Tabular Model Ecosystem: Trends and Applications
Panelists:Jeremy Fraenkel (Fundamental), Alex Gerbeaux (Fundamental), Remy Thellier (Snowflake), Purna Sanyal (AWS)
Abstract: Large Tabular Models (LTMs) are rapidly emerging as the next frontier of enterprise AI. Join leading industry experts from AWS, Snowflake and Fundamental as they discuss the evolving LTM ecosystem, recent advances in tabular foundation models, production infrastructure, and real-world applications transforming prediction and decision-making across data-intensive industries.

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