Unleash Data Science for the Model Driven Business you Expect
Watch On Demand
How the Experts Have Done It
You’ll hear directly from experts on how companies have scaled data science, so you don’t have to learn the hard way.
See the Recorded Q&A Session
Hear from HBR’s Tom Davenport, Domino Data Lab’s CEO Nick Elprin, and 451 Research’s Matt Aslett.
Recorded: Thursday, August 19th, 2021
Unquestionably, machine learning and AI hold enormous promise to redefine how enterprises solve the world’s most important problems. Today’s model-driven business leverages data science to look forward instead of backward, and these organizations expect to drive double-digit revenue growth by unleashing its power with Enterprise MLOps. Why aren’t more of them successful?
Get advice from the Enterprise MLOps experts
Hosted by Domino Data Lab and distinguished speaker, author, and advisor, Tom Davenport - one of Harvard Business Review’s most frequently published authors - this panel discussion explores why many of the world’s most sophisticated companies struggle to deliver data science at scale.
Hear first-hand from experts studying the challenges impacting the best efforts to become model-driven, leaders at enterprises successfully overcoming them with enterprise MLOps, and learn proven methods to put models at the heart of your business.
Meet the MLOps experts
Tom Davenport
RENOWNED THOUGHT LEADER AND HBR CONTRIBUTOR
Tom is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. Tom has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements.
Matt Aslett
RESEARCH DIRECTOR - DATA, AI, ANALYTICS, 451 RESEARCH
Matt Aslett is a Research Director with responsibility for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. This Channel includes operational and analytic databases, Hadoop, grid/cache, stream processing, data integration, data governance and data management, as well as data science and analytics, machine learning and AI.
Irina Malkova
VP OF DATA SCIENCE APPS, SALESFORCE
Irina’s team builds ML apps for internal decision making, such as Einstein Guidance (revenue forecasting tool) and Net Adoption Score (tool to measure, compare, and act on enterprise adoption across Salesforce's 40+ product lines). Prior to joining Salesforce, Irina led customer success at a data governance startup Alation, built product analytics at an SRI-backed startup Tempo AI, and led digital transformations at Telekom Malaysia and McKinsey.
Nick Elprin
Co-Founder & CEO
Nick Elprin is redefining the world of enterprise AI at the world’s most advanced companies across life sciences, financial services, manufacturing, telecommunications and defense. A visionary in scaling data science, he believes the opportunities are endless for companies that weave AI into the fabric of their businesses.
John K. Thompson
GLOBAL HEAD, ADVANCED ANALYTICS & AI, CSL BEHRING
John is an international technology executive with over 30 years of experience in the business intelligence and advanced analytics fields.