ALD 🌁 SF: The Enterprise AI Builders Conference
AI Loves Data San Francisco is a one-day conference bringing together enterprise AI practitioners, machine learning engineers, architects, and technology leaders who are building the next generation of intelligent systems.
Here’s the copy updated to match the new schedule and confirmed organizations:
This year’s theme explores GenAI and Intelligent Agents in the Enterprise, focusing on practical implementation, production AI, and real-world enterprise architecture.
Attendees will hear directly from engineers, product leaders, and AI practitioners deploying intelligent systems at organizations including AWS, Amazon, Intuit, Walmart Global Tech, ServiceNow, Expedia, ThoughtSpot, Chime Financial, Stripe, Linkedin, Amazon, Raymond James, and more.
Sessions are highly technical, practitioner-led, and designed to provide actionable insights that attendees can immediately apply within their organizations.
All sessions will be recorded and made available on demand after the conference.
AI Loves Data San Francisco | Schedule
The Enterprise AI Builders Conference
Thursday, November 5, 2026
📍 AWS Builder Loft · 525 Market Street, San Francisco
All times are Pacific Time.
💖 10:00 AM – Registration Opens
💖 10:25–10:30 AM – Welcome & Introduction
Anna Anisin, Founder, AI Loves Data
💖 10:30–11:00 AM – MicroAgents: The Microservices of the Agentic Era
Ashish Shubham, VP Engineering, ThoughtSpot
💖 11:00–11:30 AM – Multi-Agent Systems in Production: Memory, Orchestration & Evaluation at Scale
Sanghamitra Deb, Sr. Machine Learning Manager, Adobe
💖 11:30 AM–12:00 PM – From Exploration to Execution: Designing Agents and Automation on a Semantic Layer over MCP
Zhamak Dehghani, Founder & CEO, Nextdata
☕ 12:00–12:20 PM – Coffee Break
💖 12:20–12:50 PM – Why Enterprise AI Agents Fail After the Demo
Sai Krishna Reddy Mudhiganti, Staff AIML Software Engineer, Samsung Semiconductor
💖 12:50–1:05 PM – What Companies Can Own When Models Are Rented
Eugene Vyborov, Founder & CEO, Ability AI
💖 1:05–1:25 PM – Building Cost-Efficient, AI-Ready Data Infrastructure at Scale
Shouvik Sharma, Data Engineer, Chime Financial Inc.
🥗 1:25–2:25 PM – Lunch
Lunch will be provided for all registered attendees, thanks to our wonderful sponsor AWS. 💖
💖 2:25–2:45 PM – AI Adoption Beyond the Hype
Daniela Matinho, Senior Marketing Scientist, LinkedIn
💖 2:45–3:25 PM – Panel: From RAG to Autonomous Enterprises: What’s Next?
Moderator: Swagata Ashwani, AI Tech Lead, Boomi
Nutan Sahoo, Applied Scientist, Microsoft
Parth Desai, Lead Product Manager, Intuit
Rama Krishna Raju Samantapudi, Sr. Staff AI/ML Architect, ServiceNow
💖 3:25–3:55 PM – From RAG to Agentic AI: Enterprise Design Patterns for Building Multi-Agent Systems at Scale
Dhruv Seth, Staff Software Engineer, Walmart Global Tech
💖 3:55–4:15 PM – The AI Analytics Reliability Stack: Guardrails, Grounding, Evals, Lineage, and Human Feedback
Anusha Kovi, Business Intelligence Engineer, Amazon
☕ 4:15–4:35 PM – Coffee Break
💖 4:35–5:05 PM – From Operators to Orchestrators: How Enterprises Actually Deploy Agentic AI
Parth Desai, Lead Product Manager, Intuit
💖 5:05–5:25 PM – The Self-Correcting RAG: Improving Retrieval via User Feedback Loops
Nutan Sahoo, Applied Scientist, Microsoft
💖 5:25–5:30 PM – Closing Remarks
🍕 5:30–7:30 PM – Networking Reception
Apply to Attend and join enterprise AI practitioners, machine learning engineers, architects, data scientists, and 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, and Intelligent Data Platforms.
Space is intentionally limited to encourage meaningful networking and 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 and connect with enterprise AI decision-makers.
If you are a student, apply to volunteer here
All guests must be 18+ and present a valid government-issued physical photo ID at check-in (digital IDs will not be accepted). Scooters and bikes are not permitted in any Amazon building with no on-site parking available.
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, and reliability
Nextdata
Nextdata OS turns legacy data pipelines and scattered tools into a unified layer of autonomous data products—AI-ready by design. By making data self-describing, self-governing, and instantly usable by agents and applications, Nextdata OS helps teams move faster, reduce risk, and deliver trusted data for AI, analytics, and innovation.
Formulatedby
FormulatedBy is a founder-led strategic marketing and growth partner for AI, data and technology companies. We turn complex products into clear buyer conversations, trusted communities and sustainable growth. Our work helps companies replace disconnected, old-school marketing with AI-powered growth systems built around their ideal customers, real buyer behavior and stronger alignment between marketing and sales.
Ability AI
Ability AI is the applied AI lab behind AI-native companies. We build the systems they think and run on, so their intelligence compounds as an asset they own.
Reach out to events@formulatedby.com to learn more.
About AI Loves Data
AI Loves Data is head quartered in Miami and is the leading provider of unique content and a diverse, vendor-neutral community for data scientists, machine learning engineers, and other subject matter experts. Since 2016, we have been driving knowledge sharing, best practices, and innovation in data science, machine learning and AI. With our extensive digital platform of content, webinars, trainings, awards and podcast, we cater to the evolving needs of our fast-growing and diverse community. Join us to access valuable resources, engage in insightful discussions, and be part of shaping the future of data science, machine learning and AI.
Refund and 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.