

ALD π SF: The Enterprise AI Builders Conference
βAI 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.
βHereβs the copy updated to match the new schedule and confirmed organizations:
βThis yearβs theme explores GenAI and Intelligent Agents in the Enterprise, focusing on practical implementation, production AI, and real-world enterprise architecture.
βAttendees 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.
βSessions are highly technical, practitioner-led, and designed to provide actionable insights that attendees can immediately apply within their organizations.
βAll sessions will be recorded and made available on demand after the conference.
βAI Loves Data San Francisco | Schedule
βThe Enterprise AI Builders Conference
βThursday, November 5, 2026
βπ 9:00 AM β Registration Opens
βπ 9:55 β 10:00 AM β Welcome & Introduction Anna Anisin, Founder, AI Loves Data
βπ 10:00 β 10:30 AM β MicroAgents: The Microservices of the Agentic Era | Ashish Shubham, VP Engineering, ThoughtSpot
βπ 10:30 β 11:00 AM β Multi-Agent Systems in Production: Memory, Orchestration & Evaluation at Scale | Sanghamitra Deb, Sr. Machine Learning Manager, Adobe
βπ 11:00 β 11:30 AM β From Exploration to Execution: Designing Agents and Automation on a Semantic Layer over MCP | Zhamak Dehghani, Founder & CEO, Nextdata
ββ 11:30 β 11:50 AM β Coffee Break
βπ 11:50 AM β 12:20 PM β Evaluating Agentic Systems for Business Outcomes: Beyond Traditional Model Metrics
βPresented by: Snehal Bhole, Director, Data Science, AI, Personalization & Recommendation, Expedia, Pranidhi Prabhat, Senior Manager, Data Science & Analytics Shehaaz Saif, Senior Product Manager, AI Agent Experiences, Expedia
βπ 12:20 β 12:50 PM β Voice Is the Hardest Input for AI to Get Right And the One That Matters Most | Shankar Krishnan, Product Leader β AI, Stripe
βπ 12:50 β 1:10 PM β Building Cost-Efficient, AI-Ready Data Infrastructure at Scale | Shouvik Sharma, Data Engineer, Chime
βπ₯ 1:10 β 2:10 PM β Lunch
βπ 2:10 β 2:30 PM β AI Adoption Beyond the Hype | Daniela Matinho, Senior Marketing Scientist, LinkedIn
βπ 2:30 β 3:15 PM β Panel: From RAG to Autonomous Enterprises: What's Next? Moderator: Swagata Ashwani, AI Tech Lead, Boomi Parth Desai, Lead Product Manager, Intuit Rama Krishna Raju Samantapudi, Sr. Staff AI/ML Architect, ServiceNow
βπ 3:15 β 3:45 PM β From RAG to Agentic AI: Enterprise Design Patterns for Building Multi-Agent Systems at Scale | Dhruv Seth, Staff Software Engineer, Walmart Global Tech
βπ 3:45 β 4:05 PM β The AI Analytics Reliability Stack: Guardrails, Grounding, Evals, Lineage, and Human Feedback | Anusha Kovi, Business Intelligence Engineer, Amazon
ββ 4:05 β 4:25 PM β Coffee Break
βπ 4:25 β 4:55 PM β From Operators to Orchestrators: How Enterprises Actually Deploy Agentic AI | Parth Desai, Lead Product Manager, Intuit
βπ 4:55 β 5:25 PM β From Reactive to Autonomous: Architecting Real-Time, Self-Healing Systems with Streaming + Agentic AI | Sahil Yadav, Head of Software and AI, AOI
βπ 5:25 β 5:55 PM β Make Inference Fly: The Bottleneck Nobody Talks About | Praveen Paramasivam, Senior AI/ML Engineer, Optum
βπ 5:55 β 6:00 PM β Closing Remarks
βπ 6:00 β 7:30 PM β Networking Reception
βApply 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.
βThis yearβs 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.
βSpace is intentionally limited to encourage meaningful networking and technical discussions.
βIf youβre 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.
βIf you are a student, apply to volunteer here
βSponsors
βAWS
βWhether youβre 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
βNextdata
βNextdata OS turns legacy data pipelines and scattered tools into a unified layer of autonomous data productsβAI-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.
βReach out to events@formulatedby.com to learn more.
βAbout AI Loves Data
βAI 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.
βRefund and Ticket Transfer Policy
βRefunds 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.