
Abstract: I will discuss the challenges in building real world AI products in today's enterprise environment, and, in particular, the tradeoffs between "Discovery vs. Delivery." It seems every company today wants AI; but plug-and-play AI offerings are far and few between. I will describe the balance between the R&D necessary to create bespoke products and get them working within existing IT deployment environment. Topics will include cultural differences between IT and AI, how to scope a successful R&D project, data mining vs product development, model governance, existing deployment solutions, and testing.
Bio: Charles Martin holds a PhD in Theoretical Chemistry from the University of Chicago. He was then an NSF Postdoctoral Fellow and worked in a Theoretical Physics group at UIUC that studied the statistical mechanics of Neural Networks. He currently owns and operates Calculation Consulting, a boutique consultancy specializing in ML and AI, supporting clients doing applied research in AI. He maintains a well-recognized blog on practical ML theory and he has to date supported and performed the work on Implicit and Heavy Tailed Self Regularization in Deep Learning.

Charles Martin, PhD
Title
CEO | Calculation Consulting
Category
accelerate-ai-w19 | management-w19 | talks-w19
