​Data Science Salon 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.

​DSS SF | Schedule

​Thursday, November 6

​🔸 8:00am Registration Opens

​🔸 9:10 – 9:15am PST Introduction via Anna Anisin - Founder at DSS

​🔸 9:15 – 9:45am PST GenAI + MLops for Advanced Marketing Measurement via Aditya Tirumala - Principal Data Scientist at Zillow

​🔸 9:45 – 10:30am 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

​🔸 10:30 - 10:50am PST Evaluating and Governing Agentic AI in Healthcare via David Talby - Chief Data Officer at John Snow Labs

​🔸 10:50 - 11:20am PST Context Engineering for Smarter AI Agents via Chris Latimer Founder and CEO Vectorize

​🔸 11:20 - 11:40am PST Coffee Break

​🔸 11:40 - 12:00pm PST Explainability as a Critical Guardrail for Responsible AI via Daniel Chernoff - Data Scientist at Parallaxis.ai

​🔸 12:00 – 12:30pm PST InsightAgents: The Future of Data Science with AI-Driven Multi-Agent Systems via Raman Khurana - Machine Learning Researcher and Lecturer at Northwestern University

​🔸 12:30 - 12:50pm PST Building High-Performance Data Infrastructure for Machine Learning, Generative, and Agentic AI via Srini Srinivasan - Founder and Chief Development Officer at Aerospike

​🔸 12:50 – 1:50pm PST Lunch & Networking

​🔸 1:50 - 2:10pm PST The Hidden Cost of Data Work — and How Genesis Agents Eliminate It via Matthew Glickman Co-founder and CEO at Genesis Computing

​🔸 2:10 - 2:55pm 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,

​-Angela Navarro - Director of Engineering for the Location AI team at Mapbox

​🔸 2:55 - 3:25pm PST Relevance of Data Science in the LLMs Era via Srik Gorthy Sr Data Scientist, Trust & Safety at TikTok

​🔸 3:25 – 3:55pm PST From Data to Decisions: The Role of AI in Personalized Recommendations via Banani Mohapatra - Senior AI/ML Data science Manager at Wallmart

​🔸 3:25 - 3:45 PST From Data to Decisions: The Role of AI in Personalized Recommendations preseted via Banani Mohapatra, Senior AI/ML Data science Manager at Wallmart

​🔸 3:45 - 4:15 PST The Role of LLMs in Redefining Search and Information Retrieval via Rahul Raja - Staff Software Engineer at LinkedIn

​🔸 4:15 - 4:35pm PST Coffee Break

​🔸 4:35 - 4:55pm PST AI Agents in Time Series Forecasting: Replacement, Conjunction, or Revolution? via Madhura Raut - Principal Machine Learning Engineer at WorkDay

​🔸 4:55 - 5:25pm PST Beyond Correlation: Integrating Causal Inference into Personalization Strategies via Al Shanmugam - Head of Product at Echostar Corp

​🔸 5:25 - 5:55pm 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

​🔸 5:55 - 5:50pm PST Closing Remarks

​🔸 5:50 - 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.

​If you’re representing a vendor, we recommend making a donation of $50 or more to increase your chances of approval.

​If you are a student, apply to volunteer here

​Sponsors

​Aerospike

​Aerospike is the database built for infinite scale, speed, and sustainability. Our mission is to unleash the power of the world’s real time data and we’re ready for what’s next.

​Join us for a hands-on, two-part technical workshop series where we’ll dive into real-world implementations of graph-based fraud detection and real-time recommendation systems—all powered by the Aerospike Real-Time Data Platform. Apply to attend.

​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

​Genesis

​Genesis is the leader in Enterprise-Ready AI Data Agents, a new class of agents built to automate data workflows using your existing tech stack. From day one, agents come ready with advanced skills and tools to securely automate data workflows so you can focus on high-value impact. Under the hood, Genesis is an Agentic AI Data Platform, a system that operationalizes AI through agents that act with context, autonomy and business logic.

​John Snow Labs

​John Snow Labs Inc. is an AI company accelerating progress in data science by taking on the headache of managing data, models, and platforms. A third of the team has a Ph. or MD degree and 75% of us have at least a Master’s, coming from multiple disciplines covering data science, medicine, data engineering, pharma, data research, security, and compliance. John Snow Labs is the developer of Spark NLP, a state-of-the-art natural language processing library which has grown to be used by 22% of enterprises within 18 months of its first release.

​The company has been recognized as CIO Review’s 2018 AI Solution Provider of the Year, as a Cloud Award finalist for both Best BI or Analytics Solution and Most Innovative Use of Data in the Cloud, and as the winner of the 2019 Strata Data Award in the open source category. The company regularly presents at top-tier technology conferences such as Strata Data, Spark+AI Summit, Global AI Conference, Open Data Science, and O’Reilly AI.

​Parallaxis

​You’ve been there. You’ve done that. You listened to consultants. You listened to your partners. It still doesn’t work. Talk to Parallaxis.

​We use our proprietary evaluation framework to identify your problems and get you back on track. Our Data Maturity Framework™ provides new views and insights into your data labyrinth that unlock the true power of AI/ML.

​Working hand in hand, we fix your broken processes, systems, and structures to deliver sustainable solutions that provide you real business value.

​Mapbox

​Mapbox is a global team of builders. We are developers and geographers, data scientists and drivers, designers and AI visionaries. Together, we are reimagining how location technologies move the world.

​Vectorize

​The agentic AI data platform for building intelligent applications.

​New: Pop-Up Sponsorship for Startups

​​All general sponsorships are now SOLD OUT, but we just released a $5K pop-up package exclusively for seed and pre-seed AI startups. If you’re looking to get in front of decision-makers from top Bay Area enterprises, now’s your chance.

​​Reach out to [email protected] to learn more.

​About Data Science Salon

​​Data Science Salon 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, training, 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.