AI Loves Data San Francisco is a one-day conference bringing together enterprise AI practitioners, machine learning engineers, architects, & technology leaders who are building the next generation of intelligent systems.

This year's theme explores GenAI & Intelligent Agents in the Enterprise, with a focus on practical implementation, production AI, & real-world enterprise architecture.

Attendees will hear directly from engineers & AI leaders deploying intelligent systems at organizations including AWS, Amazon, Intuit, Walmart, ServiceNow, Expedia, Raymond James, ThoughtSpot, Chime, Capital One, & more.

Sessions are highly technical, practitioner-led, & designed to provide actionable insights that attendees can immediately apply within their own organizations.

All sessions will be recorded & made available on demand after the conference.

Apply to Speak

AI Loves Data San Francisco | Schedule

The Enterprise AI Builders Conference

9:00am PST Registration Opens

9:55 - 10:00am PST Welcome & Opening Remarks

Anna Anisin - Founder, AI Loves Data

10:00 - 10:30am PST

MicroAgents: The Microservices of the Agentic Era

Ashish Shubham - VP Engineering, ThoughtSpot

10:30 - 11:00am PST

Voice Is the Hardest Input for AI to Get Right - And the One That Matters Most

Shankar Shankar - Product Leader, AI, Stripe

11:00 - 11:20am PST

AI Adoption Beyond the Hype

Daniela Matinho - Senior Marketing Scientist, Snapchat

11:20 - 11:40am PST Coffee Break

11:40am - 12:10pm PST

Beyond Short-Term Metrics: Building Systems for Long-Term Value Optimization

Snehal Bhole - Sr. Data Science Manager, AI Recommendation & Personalization, Expedia

12:10 - 12:40pm PST From Reactive to Autonomous: Architecting Real-Time, Self-Healing Systems with Streaming + Agentic AI Sahil Yadav - Head of Software & AI, AOI

12:40 - 1:00pm PST

Building Cost-Efficient, AI-Ready Data Infrastructure at Scale

Shouvik Sharma - Data Engineer, Chime Financial

1:00 - 2:00pm PST Lunch & Networking

2:00 - 2:40pm PST

Panel: From RAG to Autonomous Enterprises: What's Next?

Featuring enterprise AI leaders from:

AWS

ServiceNow

Glean

Intuit

Moderated by Anna Anisin, Founder, AI Loves Data

2:40 - 3:10pm PST From RAG to Agentic AI: Enterprise Design Patterns for Building Multi-Agent Systems at Scale Dhruv Kumar Seth - Staff Software Engineer, Walmart Global Tech

3:10 - 3:30pm PST The AI Analytics Reliability Stack: Guardrails, Grounding, Evals, Lineage & Human Anusha Kovi - Business Intelligence Engineer, Amazon

3:30 - 3:50pm PST Coffee Break

3:50 - 4:20pm PST

From Operators to Orchestrators: How Enterprises Actually Deploy Agentic AI

Parth Desai - Lead Product Manager, Intuit

4:20 - 4:50pm PST

From COBOL to Copilots: Modernizing Mission-Critical Financial Systems with Enterprise AI

Nithesh Gudipuri - Associate Director, Technology, Raymond James

4:50 - 5:00pm PST Closing Remarks

5:00 - 7:00pm PST Networking Reception

Apply to Attend & join enterprise AI practitioners, machine learning engineers, architects, data scientists, & technology leaders for a day dedicated to building production-ready AI systems.

This year's conference explores the technologies shaping the next generation of enterprise AI, including Agentic AI, Multi-Agent Systems, Enterprise AI Architecture, MCP, AI Reliability, Governance, AI Infrastructure, & Intelligent Data Platforms.

Space is intentionally limited to encourage meaningful networking & technical discussions.

If you're representing a vendor, we encourage you to explore our sponsorship opportunities (and also consider of making a donation of $50 or more) to maximize your visibility & connect with enterprise AI decision-makers.

If you are a student, apply to volunteer here

Sponsors

AWS

Whether you're looking for generative AI, compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability, & reliability

Reach out to events@formulatedby.com to learn more.

About AI Loves Data

AI Loves Data is head quartered in Miami & is the leading provider of unique content & a diverse, vendor-neutral community for data scientists, machine learning engineers, & other subject matter experts. Since 2016, we have been driving knowledge sharing, best practices, & innovation in data science, machine learning & AI.

With our extensive digital platform of content, webinars, trainings, awards & podcast, we cater to the evolving needs of our fast-growing & diverse community. Join us to access valuable resources, engage in insightful discussions, & be part of shaping the future of data science, machine learning & AI.

Refund & Ticket Transfer Policy

Refunds are available up to 30 days prior to the start of the event. Tickets may be transferred to another attendee up to 48 hours before the event. No exceptions.