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Topics
- Implementing data quality automation with open source stack
- Learning policies for mobile networks
- Writing Spark pipelines with less boilerplate code
- Not your father's search engine: deep learning applications for e-commerce search
- Improving Customer Experience via Experimentation
- Contextual recommendation and next best action models
- ML Services - How do you begin and when do you start scaling?
- Decision Automation in Marketing Systems using Reinforcement Learning
- Realtime Contextual Product Recommendations...that scale and generate revenue
- ML driven sales and marketing for the enterprise
- and more...
Some of San Francisco speakers
- Max MartynovChief Technology Officer at Grid Dynamics
- Julien ForgeatPrincipal Researcher - AI Infrastructure at Ericsson
- Egor PakhomovStaff Software Engineer at Airbnb
- Eugene SteinbergTechnical Fellow at Grid Dynamics
- Maya Kuntal GoradiaDirector, CX Analytics & Experimentation at Paypal
- Ilya KatsovHead of Data Science at Grid Dynamics
- Pallav AgrawalDirector of Data Science at Levi Strauss & Co
- Madhura DudhgaonkarSenior Director and Machine Learning Product Leader at Workday
- Srivatsan RamanujamDirector of Software Engineering, Cloud Einstein at Salesforce
- Jason GauciSoftware Engineering Manager at Facebook AI
Join next S.F. Data Points as a speaker!
Data Points speakers are hand selected because they have been through the organizational and technical change associated with AI transformation before, and they want to share their insights and learnings with their peers. Submit your proposal!