ODSC D.C. Data Science

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AI agents are only as good as what they remember. Their ability to recall, reason, and act on relevant information is becoming a make-or-break factor. But building that memory—from raw data to structured, useful context—is still a major challenge.

In this webinar, we kick things off with a perspective on why this matters now. Drawing on experiences from data science and intelligent systems, we’ll highlight the growing importance of agent memory in real-world applications—and the role of knowledge graphs and contextual retrievers in making agents smarter, faster, and more trustworthy.

Then, we’ll dive into the how. Using Hypermode’s open-source tools, let’s walk through the process of building agent-ready context: crafting retrievers and feature stores, and designing tools that expose your graph in ways agents can actually use. We share the key design decisions behind these tools, including trade-offs, live demos, and lessons learned from real implementations.

What you’ll learn:
- Why memory is a core capability for powerful agents
- What it takes to expose graph data meaningfully to agents in live environments
- How to design and curate tools that align with your agents’ worldviews and goals

This session is great for those building their first AI agent and those looking to improve how agents reason and act.

Speaker#1: Kevin Van Gundy, CEO of Hypermode
He has spent his career building for developers, data scientists, and engineers. Previously he was the Chief Operating Officer and Chief Revenue Officer at Vercel and has held various leadership roles at Domino Data, Tray.io, and Neo4j. Kevin is involved in investing and advising startups through his involvement at Van Gundy Farms. His experience ranges from working in private equity to leading global go-to-market strategies for various companies. He has a Bachelor of Arts in English and Economics from the University of California, Davis.

Speaker2: William Lyon, AI Engineer at Hypermode
He works to improve the developer experience of building agentic flows. Previously he worked as a software developer at Neo4j and other startups. He is also the author of the book "Fullstack GraphQL Applications" and earned a masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q038cQBy0
• Code of conduct: https://odsc.com/code-of-conduct/

Learn More and Register for the summit here - https://lu.ma/h5rlpmqo
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Join the Agentic AI Summit 2025, a three-week virtual event designed for builders, engineers, and innovators.

Learn how to design, deploy, and scale autonomous AI agents through hands-on workshops and expert-led sessions

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Agenda & more details you may find here - https://www.summit.ai/#LongSchedule

# Master Agentic AI in Just Three Weeks

Week 1: Foundations of Agentic AI – Learn the building blocks of autonomous agents, including core architectures, planning methods, memory systems, and leading development frameworks.

‍Week 2: Advanced Techniques and Collaboration – Dive into advanced reasoning, multi-agent coordination, tool chaining, self-healing workflows, and emerging security challenges.

‍Week 3: Evaluation, Improvement, and Deployment – Focus on real-world applications with sessions on agent evaluation, reliability, deployment strategies, and cumulative demo showcases.

Learn step-by-step, guided by experts like:

• Amber Roberts, Staff Technical Marketing Manager at Databricks
• Paige Bailey, DevRel Lead, GenAI at Google
• Jerry Liu, Co-founder and CEO at LlamaIndex
• Chi Wang, Founder of AutoGen (Now AG2) | Senior Staff Research Scientist at AG2 | Google DeepMind
• João (Joe) Moura, CEO at CrewAI
• Micheal Lanham, Principle AI Engineer at Brilliant Harvest
• Sai Kumar Arava, Senior Machine Learning Manager, Gen AI / ML Applications at Adobe
• Amy Hodler, Founder | Consultant | Graph Evangelist at GraphGeeks.org
• Valentina Alto, Technical Architect, AI & App at Microsoft
• Chris Alexiuk, Co-Founder & CTO | DL at AI Makerspace | NVIDIA
• Philipp Schmid, AI Developer Experience at Google DeepMind

and so many more coming soon.

Flexible and Accessible Learning
Whether you're working full-time or juggling projects, the Agentic AI Summit is built to fit into your schedule—not disrupt it. Learn when it works for you—no stress, no catch-up scramble.
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✔ Attend just 2 afternoons per week across 3 weeks of live content.
✔ Watch on your time with full access to recorded sessions and workshops
✔Keep building with downloadable code, notebooks, and tools you can use anytime

Some useful links:
• Get free access to more talks/trainings like this at Ai+ Training platform: https://share.hsforms.com/1Q8ZtNYr0TfGiYt6kGNEcmg13zdw
• ODSC blog: https://opendatascience.com/
• Slack Channel: https://hubs.li/Q038cQBy0
• Code of conduct: https://odsc.com/code-of-conduct/