Data science leaders and AI researchers will converge for curated sessions exploring how machine learning drives enterprise innovation, with senior executives and top local talent diving into predictive analytics and real-world AI implementations.
Data Science Salon San Francisco | Register Now for November 6! ## AI Loves Data SF # GENAI AND INTELLIGENT AGENTS in the Enterprise ## San Francisco | November 5, 2026 Sponsored by Join us at Data Science Salon which is now AI Loves Data San Francisco for an exclusive experience designed to connect you with the people you’d like to meet, without any surprises. AI Loves Data SF is an annual one-day conference, focused on using artificial intelligence and machine learning in the enterprise. This intimate event, a mix of TedEx, Foo Camp and Summit, curates data science sessions to bring senior managers, C-suite executives, and the most talented local AI/ML researchers face-to-face, fostering education and collaboration on innovative solutions in artificial intelligence, machine learning, predictive analytics, and best practices. Expect to walk away with actionable insights from those working on the frontlines of machine learning in the enterprise. #### ALD SF 2026 Day(s) : Hour(s) : Minute(s) : Second(s) ## Past Speakers #### 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 #### Swagata Ashwani Chapter Lead (SF) #### Kuber Jain Senior Data Scientist #### Sanghamitra Deb Sr Machine Learning Manager #### Madhura Raut Principal Machine Learning Engineer #### Saras (Kaul) Nowak Principal Product Manager #### David Talby Chief Executive Officer #### Srini Srinivasan Chief Technology Officer and Founder #### Chris Latimer Founder and CEO #### Matthew Glickman Co-founder and CEO #### Ajit Mahareddy Product leader, Amazon Bedrock #### Mariane Bekker Head of Developer Relations #### Sahil Yadav Head of Software and AI ## 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 ## ALD SF Speaker Alumni #### Alice Chang ###### Engineering Manager at Meta #### Dhivya Rajprasad ###### Senior Product Manager at Zoom #### Sanghamitra Deb ###### AI & ML Leadership at Adobe #### Jodi Blomberg ###### VP AI & ML at Cox Automotive Inc. #### Vincent David ###### Senior Director - Machine Learning at Capital One #### Kasia Rachuta ###### Data science and analytics leader at Square #### Swagata Ashwani ###### Data Science at Boomi #### Raghavan Muthuregunathan ###### Senior Engineering Manager at LinkedIn ## Watch Past Sessions ## About AI Loves Data San Francisco 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 attend and join us to gain actionable insights from those at the forefront of machine learning in the enterprise. ## WHY ATTEND THE AI Loves Data SF EXPERIENCE? - Connect with Leaders Shaping Enterprise AI Meet and network with senior data scientists, engineering leads, product strategists, and C-suite executives from top enterprises,, tech companies, and AI-first startups. ALD SF fosters an intentionally curated environment for high-quality, peer-level exchange. - Engage in Technical, Purpose-Driven Sessions Go beyond surface-leve
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