ALD 🌁 SF: GENAI AND INTELLIGENT AGENTS IN THE ENTERPRISE

AI Loves Data San Francisco is a one-day experience for senior managers, C-suite executives, and top local AI/ML researchers. This exclusive event is all about networking and connecting you with the right people you want to meet. It features a curated mix of use-cases, technical talks, workshops, and Q&A sessions, designed to foster direct interaction and collaboration among industry leaders.
Apply to Speak
Last Year's | Schedule

🔸 9:00am Registration Opens
🔸 9:55 – 10:00am PST Introduction via Anna Anisin - Founder at DSS
🔸 10:00 – 10:25am PST GenAI + MLops for Advanced Marketing Measurement via Aditya Tirumala - Principal Data Scientist at Zillow
🔸 10:25 – 11:00am PST Fireside Chat: Making Agentic AI Real: A Fireside Chat on Strategy, Risk & Scale in the Enterprise Moderated via Roger Magoulas - Head of Content at DSS, Kuber Jain - Senior Data Scientist at Headspace, Sanghamitra Deb - Sr Machine Learning Manager at Adobe
🔸 11:00 - 11:20am PST Evaluating and Governing Agentic AI in Healthcare via David Talby - Chief Executive Officer at John Snow Labs
🔸 11:20 - 11:50am PST Context Engineering for Smarter AI Agents via Chris Latimer Founder and CEO Vectorize
☕️ 11:50 - 12:10am PST Coffee Break
🔸 12:10 - 12:30pm PST Explainability as a Critical Guardrail for Responsible AI via Daniel Chernoff - Data Scientist at Parallaxis.ai
🔸 12:30 – 1:00pm PST Building High-Performance Data Infrastructure for Machine Learning, Generative, and Agentic AI via Srini Srinivasan - Founder and Chief Technology Officer at Aerospike
🔸 1:00 - 1:20pm PST The Hidden Cost of Data Work — and How Genesis Agents Eliminate It via Matthew Glickman Co-founder and CEO at Genesis Computing
🥙 1:20 – 2:20pm PST Lunch & Networking
🔸 2:30 - 2:50pm PST
🔸 2:20 - 3:00pm PST Panel: Architecting Agentic AI: Infrastructure, Evaluation, and Real-Time Decisioning
-Swagata Ashwani - Chapter Lead (SF) at Women in Data,
-Priyadarshini Balachandran -Distinguished Software Engineer Walmart Commerce Platform at Walmart International,
-Aditya Gautam - Tech Lead, Machine Learning at Meta,
-Saras Nowak - Principal Product Manager at Mapbox
-Ajit Mahareddy - Product leader, Amazon Bedrock at AWS
🔸 3:00 - 3:30pm PST Relevance of Data Science in the LLMs Era via Srik Gorthy Sr Data Scientist, Trust & Safety at TikTok
🔸 3:30 - 4:00pm PST From Data to Decisions: The Role of AI in Personalized Recommendations via Banani Mohapatra - Senior AI/ML Data science Manager at Wallmart
🔸 4:00 - 4:20 PST The Role of LLMs in Redefining Search and Information Retrieval via Rahul Raja - Staff Software Engineer at LinkedIn
☕️ 4:20 - 4:40pm PST Coffee Break
🔸 4:40 - 5:00pm PST AI Agents in Time Series Forecasting: Replacement, Conjunction, or Revolution? via Madhura Raut - Principal Machine Learning Engineer at WorkDay
🔸 5:00 - 5:20pm PST Beyond Correlation: Integrating Causal Inference into Personalization Strategies via Al Shanmugam - Head of Product at Echostar Corp
🔸 5:20 - 5:50pm PST Designing Trustworthy AI for High-Stakes Decisions: Lessons from Healthcare Automation at Scale via Ruchi Mangharamani - IT Business System Analyst, Senior Advisor at Elevance Health
🔸 5:50 - 6:00pm PST Closing Remarks
🧀 6:00 - 8:00pm PST Networking Reception
Apply to attend and join us to gain actionable insights from those at the forefront of machine learning in the enterprise.

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

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.