Acquiring Intelligence: Assembling Tomorrow's Data-Driven, AI-Everywhere World
Document Type
Presentation Abstract
Presentation Date
2-27-2017
Abstract
It's been said that AI is the discipline that kicks its successes out of the nest: that once it works, it's called "language processing" or "image recognition" or "predictive recommendation" or some other specific description of the useful result. (Whatever's left behind as AI, it's been said, is what's "Almost Implemented.") Peter Coffee, global VP for Strategic Research at cloud computing leader Salesforce, will be with us once again, this time to discuss the component skills and disciplines that actually are implemented in the company's Einstein machine-intelligence portfolio. He will also share the process of identifying and acquiring the companies and teams that have been assembled into this real-world layer of "Assistive Intelligence" (perhaps a more useful definition of "AI"), across the Salesforce Platform, and to discuss the academic and career preparation that leads toward tomorrow's opportunities.
Recommended Citation
Coffee, Peter, "Acquiring Intelligence: Assembling Tomorrow's Data-Driven, AI-Everywhere World" (2017). Colloquia of the Department of Mathematical Sciences. 525.
https://scholarworks.umt.edu/mathcolloquia/525
Additional Details
Monday, Februay 27, 2017 at 3:00 p.m. in Math 103
Refreshments at 4:00 p.m. in Math Lounge 109