Uploaded May 2025 | Updated September 2026, 3 weeks ago
[2025 - Day 1 - AI Launchpad] Claire Gouze and Christophe Blefari share insights from Nao, an AI code editor specifically designed for data teams, exploring how to streamline fragmented analytics engineering workflows across multiple tools. This session offers valuable perspectives on creating unified environments tailored to data professionals' unique modeling needs, addressing productivity challenges from constant context switching between IDEs, CLIs, data warehouse UIs, documentation sites, and BI platforms.
ABOUT THE SPEAKERS:
Claire Gouze, Co-Founder & CEO, NAO
Christophe Blefari, Co-Founder, NAO -
🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the world's top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.
→ aicouncil.com/sf-2026
⚡ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: linkedin.com/company/aicouncilconf
Website: aicouncil.com
[2025 - Day 1 - AI Launchpad] Claire Gouze and Christophe Blefari share insights from Nao, an AI code editor specifically designed for data teams, exploring how to streamline fragmented analytics engineering workflows across multiple tools. This session offers valuable perspectives on creating unified environments tailored to data professionals' unique modeling needs, addressing productivity challenges from constant context switching between IDEs, CLIs, data warehouse UIs, documentation sites, and BI platforms.
ABOUT THE SPEAKERS:
Claire Gouze, Co-Founder & CEO, NAO
Christophe Blefari, Co-Founder, NAO -
🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the world's top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.
→ aicouncil.com/sf-2026
⚡ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: linkedin.com/company/aicouncilconf
Website: aicouncil.com

![Building a Data Native Agent: Cortex Code | Snowflake
[2026 - DAY 2 - WORKSHOP] We built Cortex Code to solve the context gap in AI development by engineering the industrys first data-native coding agent that is deeply coupled with the underlying data platform. We architected a system that directly interfaces with Snowflakes metadata, compute, and governance layers, giving the agent real-time environment awareness of table structures, operational semantics, and security.
In this session, we will dive into how we constructed this context-aware reasoning loop, utilized open standards like MCP and agents skills for extensibility, and solved the challenge of delivering an agent that accelerates complex data engineering and ML workflows while remaining secure-by-design. We will also share our experiences with benchmarking and optimizing Cortex Code on public and internal benchmarks.
SPEAKER:
Umesh Unnikrishnan - AI Research Lead, Snowflake
👉 Sign up for our No BS Newsletter to get the latest technical data & AI content: https://aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: https://aicouncil.com/
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
X: https://x.com/aicouncilconf Building a Data Native Agent: Cortex Code | Snowflake](https://i.ytimg.com/vi/pV3hybzf31A/mqdefault.jpg)
![Calvin French-Owen on the Future of Agentic Coding
[2026 - DAY 2 - CODING AGENTS] Coding agents are constantly changing — what works in Claude Code one week might not make sense in Codex the next. When working with coding agents, you can lean into a few core principles rooted in how they are trained and built. In this talk Calvin will share some of the high-level takeaways from building one of the first coding agents, as well as an in-the-weeds perspective on whats currently working. Calvin previously cofounded Segment and while working at OpenAI was on the team that created Codex.
SPEAKER:
Calvin French-Owen - Co-founder & CTO, Segment (acquired by Twilio)
👉 Sign up for our No BS Newsletter to get the latest technical data & AI content: https://aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: https://aicouncil.com/
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
X: https://x.com/aicouncilconf Calvin French-Owen on the Future of Agentic Coding](https://i.ytimg.com/vi/q-ntX4DLW_c/mqdefault.jpg)
![The Future of Guardrails
[2025 - Day 1 - AI Engineering] Shreya Rajpal shares insights from implementing risk management frameworks for generative AI applications, exploring comprehensive approaches to reliability and risk assessment across different AI architectures. This talk offers valuable perspectives on systematic risk management for RAG-augmented chatbots and autonomous agents, crucial for teams deploying generative AI in real-world environments while reducing potential failure modes and negative outcomes.
ABOUT THE SPEAKER:
Shreya Rajpal, Co-Founder & CEO, Guardrails -
🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the worlds top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.
→ https://aicouncil.com/sf-2026
⚡ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
Website: https://aicouncil.com/ The Future of Guardrails](https://i.ytimg.com/vi/qEELBE58qSI/mqdefault.jpg)

![RAGs to Riches: Engineering the Future of LLM Systems
[2025 - Day 1 - Keynote] Denis Yarats, Sharon Zhou, Michele Catasta, and Dr. Joseph Gonzalez share insights from their pioneering work in LLM system design, exploring the cutting edge from retrieval-augmented generation to agentic search. For teams building AI applications or architecting scalable systems, this panel offers valuable perspectives on creating reliable AI tools that deliver real-world value while addressing the technical challenges of grounding LLMs and reducing hallucinations.
ABOUT THE SPEAKERS:
Denis Yarats, Co-Founder & CTO, Perplexity AI
Sharon Zhou, PhD, Founder & CEO, Lamini
Michele Catasta, President, Replit
Dr. Joseph Gonzalez, Professor, Head of AI, UC Berkeley, RunLLM (Moderator) -
🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the worlds top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.
→ https://aicouncil.com/sf-2026
⚡ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
Website: https://aicouncil.com/ RAGs to Riches: Engineering the Future of LLM Systems](https://i.ytimg.com/vi/rJj_ATWUrng/mqdefault.jpg)
![Beyond the AI Pilot: A Framework for Building Systems That Actually Deliver | InterSystems
[2026 - DAY 3 - APPLIED AI] Most enterprise AI initiatives do not fail because models are weak. They fail for two more basic reasons: 1) AI is not given a reliable way to read business context or take action across systems, and 2) organizations do not translate ambitious AI visions into clearly defined outcomes, projects, and next steps.
In other words, the problem is often both architectural and operational.
This session introduces a practical framework for making enterprise AI actually work. On the technical side, I will outline two core ideas: a Read Contract, which gives AI governed and auditable access to live business context, and a Write Contract, which defines how AI can safely and reliably execute actions across enterprise systems. On the execution side, I will show why AI initiatives also need a more disciplined planning model - one that breaks the vision down into concrete outcomes, projects, and tasks rather than leaving teams stuck with broad aspirations and disconnected pilots. Attendees will leave with a clear framework for diagnosing why AI efforts stall, designing stronger foundations for production use, and turning AI strategy into executable enterprise delivery.
SPEAKER:
Kanishk Mittal - Principal Technology Architect, InterSystems
Link to worksheet: https://kanishkmittal.com/talks/ai-council-2026-worksheet.pdf
👉 Sign up for our No BS Newsletter to get the latest technical data & AI content: https://aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: https://aicouncil.com/
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
X: https://x.com/aicouncilconf Beyond the AI Pilot: A Framework for Building Systems That Actually Deliver | InterSystems](https://i.ytimg.com/vi/rM32jnj7Wjk/mqdefault.jpg)


![Powering AI Workflows with Tabular Graphs
[2025 - Day 1 - Workshops] Rui Lopes shares insights from DataLinks semantic layer for AI systems, exploring entity-linking technology through intuitive data integration and API flexibility demonstrations. For developers seeking automated entity resolution and graph-based insights, this workshop offers valuable perspectives on simplifying complex data visualization, enabling natural language search over data, and implementing AutoRAG capabilities in applications.
ABOUT THE SPEAKER:
Rui Lopes, Head of AI, Datalinks -
🎟️ GET YOUR TICKET TO AI COUNCIL 2026 🎟️
Meet the worlds top AI infrastructure minds where architects of AI share what works. Three days of high-quality technical talks and meaningful interactions.
→ https://aicouncil.com/sf-2026
⚡ FIND US:
X: https://x.com/AICouncilConf
LinkedIn: https://www.linkedin.com/company/aicouncilconf/
Website: https://aicouncil.com/ Powering AI Workflows with Tabular Graphs](https://i.ytimg.com/vi/rl75GBTbSg8/mqdefault.jpg)
