Cognifest NYC 2017: Simon Chan, The Evolution of Machine Learning Platforms
Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us!
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Artificial intelligence is a game changer that’s transforming the very foundation of how businesses interact with customers. Salesforce recently released Einstein, which brings AI into its core platform to power every business. In addition to enabling prebuilt predictive applications, Einstein empowers customers to quickly build AI-powered apps that include Einstein-powered fields in any object, page layout, or workflow, making every business process smarter. For data scientists and developers, Einstein offers predictive vision and sentiment services that enable developers to train deep learning models to recognize and classify images and sentiment in text. And PredictionIO in Heroku Private Spaces empowers developers to build custom machine learning models and put them into their apps.
The secret behind Einstein is an underlying platform that accelerates Machine Learning development at scale for both internal and external data scientists. Simon Chan shares his experience building Machine Learning platform to power advanced machine learning, deep learning, natural language processing, and smart data discovery for multiple enterprise product lines. He will highlight the key learnings through the AI platform journey.
Bio:
Simon Chan is a senior director of product management for Salesforce Einstein, where he oversees platform development and delivers products that empower everyone to build smarter apps with Salesforce. Simon is a product innovator and serial entrepreneur with more than 14 years of global technology management experience in London, Hong Kong, Guangzhou, Beijing, and the Bay Area. Previously, Simon was the cofounder and CEO of PredictionIO, a leading open source machine learning server (acquired by Salesforce). Simon holds a BSE in computer science from the University of Michigan, Ann Arbor, and a PhD in machine learning from University College London.