Brian Martin, Research Fellow, Head of AI, R&D IR, at AbbVie will give a presentation during the CAII Seminar Series on Monday, March 8 at 11:00 a.m. The talk is titled “So you built an AI model, now what?"
View Seminar here: https://go.ncsa.illinois.edu/CAIISpringSemesterSeriesSP21
Social media, conference presentations, published papers, even the regular lunch-and-learn in the now virtual lunchroom seem to be inundated with a continuous stream of AI scientists presenting incremental improvements in model performance. While these improvements are paving a road for some truly amazing potential impacts, the majority of these models will end up being left in that dark and lonely closet sized doctoral candidate’s office or will have their sole moment in the sun be the 2,141 people who clicked to follow a splashy title from a LinkedIn post. In order for AI capabilities to deliver value they must be explored, validated, and delivered as drivers of the momentum of digital transformation. When evaluated in the context of a momentum generating virtuous cycle, many models will fail to engage because of a lack of thinking, preparation, and design inclusive of their operational use. The Structured Platform Approach for Cognitive Ecosystems (SPACE) is a framework in which models are viewed as components of a technology ecosystem. Reviewing models using SPACE provides proper framing and advance planning for the development, deployment, monitoring, and improvement of the models. The ability to then deploy and evolve models in this way helps to guarantee continuous fun in the sun for the model (and the scientist), and may just help to avoid another AI winter.
Brian joined AbbVie in October of 2018 as the head of the newly formed RAIDERS team within Research & Development’s Information Research division, focused on accelerating, scaling, and amplifying the work of AbbVie’s R&D community using AI technologies like machine learning, deep learning, and cognitive computing. Brian came to AbbVie after spending five years in technology consulting across many industries, and over a decade of additional experience before that working in trading and financial markets technology. While his primary focus is AI technologies, his interests are much broader, and he has presented at multiple conferences on topics including optical networking, quantum computing, blockchain, cognitive architecture, and other emerging technology concepts that are all part of digital transformation.
Brian holds a B.S. degree in Computer and Cognitive Science from Alma College and a M.S in Computer Science from the University of Chicago.
All presentations will be recorded and will be available on the CAII website shortly after the presentation.