Thursday, June 17, 2021 2:00 pm
Table Discussions – Your time, your topic!
Speakers: Dr. Erika McBride, Global Director of Analytic Services, Dow, Inc. Frank Pörschmann, CEO, iDIGMA Benjamin Ziomek, CTO, Actuate
Choose the topic that is relevant to you. In this session we offer focused topics to dig in deeper into specific content segments. So this is the perfect opportunity to share your story, your specific question and get first hand advice from your peers and experts. All attendees can participate in the roundtable of their choice and it’s a camera on event.
More Roundtable Topics will be announced soon
AI at Scale – the Good, the Bad and the Ugly (Erika McBride)
Businesses both large and small are attempting to keep up with, or get ahead of, the competition by developing, deploying and adopting AI at scale. This journey is riddled with pitfalls, from technology to talent, data quality to culture. Join fellow attendees as we discuss hurdles and triumphs, along with lessons learned at Dow, Inc., on the journey towards Dow’s Analytics Everywhere vision.
Analytics & AI Governance (Frank Poerschmann)
Discussion between experts on the rising demand for actively managing and governing AI & Analytics activities, as i.e. managing model portfolios, continuous evaluation of the value of analytics solutions and their adaption, how to scale limited resources and manage the interface between business, data science, data management and IT. Participants shall exchange personal learnings and questions around frameworks, best practices as well as personal experiences on challenges and solutions.
Selling Data Science: How to Explain Deep Learning Performance to Business Leaders ( Benjamin Ziomek)
“99% Accurate:” Often the phrase that gets the most attention from business leaders looking at a new data science-based product. But as practitioners know, Accuracy is a meaningless term. Unfortunately, throwing out “F1,” “Recall,” and such don’t usually move the needle with business executives. This presentation talks through how to frame data science products in a way that business leaders can understand, and how to get to the heart of what they care about.