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Event Date | Tue Sep 19 EDT (about 1 year ago) |
Location | Virtual |
Region | Americas |
This event is an annual one-day 350 person conference focused on AI and machine learning applications in the enterprise. The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices. You will see a mix of use-cases, technical talks and workshops, and you will walk away with actionable insights from those working on the frontlines of machine learning in the enterprise. All sessions are livestreamed, where another 1K+ attendees tune in virtually.
Why Attend?
• Meet and connect with the most diverse community in the space
• Improve your data skills in 30+ engaging sessions, including use-cases, technical deep dives, and panel conversations
• Learn from practitioners, technical experts and executives what AI and machine learning mean to the enterprise
• Ask expert speakers questions in live Q&A sessions
• Walk away with actionable insights from those working on the frontlines of ML in the enterprise
• Access all sessions on-demand until two weeks after the event
2023 Speakers
Alexandra Levinson
Principal Algorithms/ AI Engineer at Elbit Systems of America
Shakeel Hye
Director of Data Engineering at TracFone Wireless
Sandhya Gopalan
AI & MLOps Practice Head at EY Global Delivery Services
Jonathan Serrano
Data Scientist at Brex
Laura Gabrysiak
Senior Manager – Data Products & Solutions at Visa
Eva He
Sr Quant at JPMorgan Chase & Co
George Mathew
Managing Director at Insight Partners
Yifei Wang
Senior Machine Learning Engineer at Meta
Jeff Schwartzentruber
Sr. Machine Learning Scientist at eSentire
Sergey Fogelson
Head of Data Science at TelevisaUnivision
John Kottis
Engineering Lead at Lloyds Banking Group
Natalie Baez Porter
Data & Solutions Strategist at Southern Glazer’s Wine & Spirits