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Event

Agentic AI + Evals at Databricks

2025-11-18 – 2025-11-18 Meetup Visit website β†—

Activities tracked

3

Agentic AI + Evals Theme: Mosaic AI Framework, DSPy and Evals Hashtag: #LondonAgenticAI

πŸ“… Date: Thursday, 18th November 2025 πŸ•• Time: 6:00 pm – 8:30 pm πŸ“Venue: 11-14 Windmill St, London W1T 2JG

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Important: Only 150 seats available. Registration is required, πŸ“‹ Here is form . For security reasons, only invited guests on the official list will be granted access. Walk-ins will not be allowed.

About the Event London Agentic AI Meetup #3! πŸŽ‰

This session dives into Mosaic AI Framework from Databricks, followed by the talk on analogy of DSPy with LLVM project and panel discussion on evaluating AI agents. Audience can come up with their questions on AI Agent Evaluation.

You’ll learn:

  • Databricks Mosaic AI framework
  • DSPy and Evaluation
  • Strategies and experiences on Evaluating AI Agents

🎀 Talks

Punet Jain: Sr. Specialist Solutions Architect - Databricks Title: Mosaic AI Agent Framework

Abstract: Explore the suite of tooling in Databricks that enables you to build, evaluate, and deploy production-quality Al applications with monitoring and governance, and this session will include customer stories illustrating real-world impact.

Eito Miyamura: Co-Founder - EdisonWatch Title: DSPy: The LLVM for Context Engineering

Abstract: Prompt engineering/optimising manually is like writing assembly code; if you're a pro, you get the most amount of control and max performance with manually adapting Prompt, but DSPy provides the higher-level abstraction DSL for the functions the LLM-based system is supposed to carry out before getting onto the bare metal (the LLM). Get smaller, cleaner code with DSPy. (And auto-optimization as a bonus)

🎀 Panel

Topic: Evaluating AI Agents Learn from industry practitioners, researchers, and experts on the latest and greatest on evaluations frameworks and tools to bring AI Agents to production

Panel Moderator ‒⁠ Sultan Al Awar : Solutions Architect at Databricks

Panelists ‒⁠ ⁠Kyra Wullfert - Specialist Solutions Architect at Databricks ‒⁠ ⁠⁠Sangram Reddy - Head of AI at IntentHQ ‒⁠ Jacques Verre - Head of Product at CometML

Agenda

6:00 – 6:30 PM : Drinks & Networking Guests arrive, informal networking, and refreshments. 6:30 – 6:40 PM : Welcome & Opening Remark 6:40 – 7:00 PM : Talk 1: Mosaic AI Framework Speaker: Puneet Jain 7:00 – 7:20 PM: Talk 2: DSpy and Analogies with LLVM Speaker: Eito Miyamura 7:20 – 8:10 PM β€” Panel Discussion: Evaluating AI Agents + Audience Q&A 8:10 - 8:30 PM: Closing Remark & Walk to Pub for more networking 8:30 -Till Late : Networking in the "Rising Sun" Pub (46 Tottenham Ct Rd, London W1T 2EL)

Sponsor: This meetup is proudly sponsored by Databricks

A huge thank you to Databricks for providing both the venue and food for our community.

Why Attend? If you’re building with Agentic AI and need to learn about the Agent Evaluation strategies, experiences and insights. This meetup will be a great fit.

Sessions & talks

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Evaluating AI Agents

2025-11-18
panel
Sultan Al Awar (Databricks) , Kyra Wullfert (Databricks) , Jacques Verre (CometML) , Sangram Reddy (IntentHQ)

Topic: Evaluating AI Agents Learn from industry practitioners, researchers, and experts on the latest and greatest on evaluations frameworks and tools to bring AI Agents to production

DSPy: The LLVM for Context Engineering

2025-11-18
talk
Eito Miyamura (EdisonWatch)

Abstract: Prompt engineering/optimising manually is like writing assembly code; if you're a pro, you get the most amount of control and max performance with manually adapting Prompt, but DSPy provides the higher-level abstraction DSL for the functions the LLM-based system is supposed to carry out before getting onto the bare metal (the LLM). Get smaller, cleaner code with DSPy. (And auto-optimization as a bonus)

Mosaic AI Agent Framework

2025-11-18
talk
Puneet Jain (Databricks)

Abstract: Explore the suite of tooling in Databricks that enables you to build, evaluate, and deploy production-quality AI applications with monitoring and governance, and this session will include customer stories illustrating real-world impact.