With over 30 sessions, TWIMLcon On Demand offers a masterclass in how to design and build teams and platforms for delivering machine learning in a high-velocity, repeatable, consistent and predictable manner—at scale:
Machine Learning Platform Product Leader
Machine Learning Engineer at Snorkel AI, Adjunct Lecturer at Stanford
Machine Learning Platform
Head of Engineering, ML Platform Team
Staff Machine Learning Engineer, Listening Experiences
Machine Learning Engagement Lead
Senior Product Manager, Machine Learning Platform
Staff ML Software Engineer
Machine Learning Engineering Manager
TWIMLcon sessions—presented by data scientists, engineers and leaders from teams at the forefront of operationalizing machine learning—can help you and your team save time and money by learning:
VP, Head of Data and Analytics
Director of ML Platform
Vice President Data Science & Analytics
Principal Data Scientist and Executive Advisor
Senior Director, Digital Transformation - Head AI Products
VP of Data Science
Data Science Senior Principal & Global AI Lead, Resources
Vice President, Product Management
Noorzad, Head of Data Science
Chief Analytics Officer
TWIMLcon: AI Platforms is brought to you by Sam Charrington and the team behind the TWIML AI Podcast.
The conference has its roots in a series of podcast interviews and ebooks on the topic of AI Platforms published going back to the fall of 2018. The series – which featured interviews with ML Platforms and Infrastructure engineers and leaders from Facebook, Airbnb, LinkedIn, OpenAI, Shell and Comcast – resonated strongly with listeners and remains one of our most popular series to this day.
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