AI in the Enterprise – Making Corporations Smart Again
VP of AI and Machine Learning at Unity Technologies
Have you noticed how applications seem to get smarter? Apps make recommendations based on past purchases; you get an alert from your bank when they suspect a fraudulent transaction; and you receive emails from your favorite store when items related to things you typically buy are on sale. These examples of application intelligence use a technology called Machine Learning. Machine Learning uses algorithms to detect patterns in old data and build models that can be used to make predictions from new data. Understanding the algorithms behind Machine Learning is difficult and running the infrastructure needed to build accurate models and use these models at scale is very challenging. At Uber and Amazon my teams built Machine Learning services that easily allow business teams to embed intelligence into their applications that can perform important functions such as ETA, fraud detection, churn prediction, forecasting demand, and much more. Lessons learned at Uber and Amazon have implications for the rest of the world.
Dr. Danny Lange is Vice President of AI and Machine Learning at Unity Technologies where he leads Unity’s efforts around Artificial Intelligence. Unity is the creator of a flexible and high-performance end-to-end development platform used to create rich interactive 2D, 3D, VR and AR experiences. Previously, Danny was Head of Machine Learning at Uber, where he led the efforts to build the world’s most versatile Machine Learning platform to support Uber’s hyper growth. Before joining Uber, Danny was General Manager of Amazon Machine Learning — an AWS product that offers Machine Learning as a Cloud Service. Prior to Amazon, he was Principal Development Manager at Microsoft where he led a product team focused on large-scale Machine Learning for Big Data. Danny spent 8 years on Speech Recognition Systems, first as CTO of General Magic, Inc., then through his work on General Motor’s OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a Computer Scientist at IBM Research.
He holds MS and Ph.D. degrees in Computer Science from the Technical University of Denmark. He is a member of ACM and IEEE Computer Society and has several patents to his credit.