Data Science Salon SF: GenAI and Intelligent Agents in the Enterprise
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. Apply to attend and join us to gain actionable insights from those at the forefront of machine learning in the enterprise.
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Start Date
Thursday, November 06, 2025
9:00 AM
Location
AWS Builder Loft 525 Market Street
Event Types
ConferenceNetworkingWorkshop
Links & Social
Event Page
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Event Details
Date & Time
Thursday, November 06, 2025 at 9:00 AM
to Thursday, November 06, 2025 at 5:00 PM
Timezone: America/Los_Angeles
Location
AWS Builder Loft
AWS Builder Loft 525 Market Street, San Francisco, CA 94105, USA
Additional Information
Confirmed Speakers:
- Srik Gorthy, Sr Data Scientist, Trust & Safety
- Rahul Raja, Staff Software Engineer
- Aditya Tirumala, Principal Data Scientist
- Banani Mohapatra, Senior AI/ML Data science Manager
- Raman Khurana, Machine Learning Researcher and Lecturer
- Ruchi Mangharamani, IT Business System Analyst, Senior Advisor
- Al Shanmugam, Head of Product
- Daniel Chernoff, Data Scientist
- Roger Magoulas, Head of Content
- Priyadarshini Balachandran, Distinguished Software Engineer Walmart Commerce Platform
- Swagata Ashwani, Chapter Lead (SF)
- Aditya Gautam, Tech Lead, Machine Learning
- Kuber Jain, Senior Data Scientist
- Sanghamitra Deb, Sr Machine Learning Manager
- Madhura Raut, Principal Machine Learning Engineer
- Angela Navarro, Director of Engineering for the Location AI team
- David Talby, Chief Data Officer
- Srini Srinivasan, Founder and Chief Development Officer
Topics Include:
- Personalization at Scale with AI
- Cloud Automation and ML
- Recommendation Engines
- Designing ML pipelines efficiently
- Natural Language Processing & Deep Learning
- Deep Neural Networks
- Image Recognition with ML
- Using large scale data sets
- Scaling ML Production
- Data Science Teams: Managing, Building, Collaboration
- Integrating Open Source Tools into your workflows
- Improving Data Quality
- Machine learning best practices
- Data Security
Registration Info: Apply for a free pass. Free passes are offered to qualified attendees thanks to generous sponsors.
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