Most of the high profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because ethics simply aren’t thought through well enough.!
Bill Franks compiles contributions from top companies in technology, finance and other industries to share experiences and lessons learned from collecting, managing and analyzing data ethically. .
Please join us as Great Data Minds Advisor, Mike Lampa discusses the insights and collective wisdom of the Experts around all things data ethics in analytics.
Get a copy of the book here.
Leadership Perspectives: Heidi Bailey, VP, Futures & AI, The Integer Group
Privitar Deep Dive
Nomads & Expats: The Pros and Cons of Working Abroad
Castor Deep Dive
Leadership Perspectives: Laura Merrick, Sr. Director eSolutions (MHN)
Armchair Analytics: DataRobot Cohort and Deep Dive
Author Series: ”Winning The Room” by Bill Franks
How Covid-Inspired Cycling Changed My View of the Data World
Thought Leadership: Ethical Implications for Ungoverned AI
Author Series: Data Driven Business Transformation
Thought Leadership: Kent Graziano - Life and Times of The Data Warrior
StreamSets: GDM Tech Matters Marathon 22
Thoughtspot: GDM Tech Matters Marathon 22
Starburst: GDM Tech Matters Marathon 22
DataRobot: GDM Tech Matters Marathon
Alation: GDM Tech Matter Marathon 22
SingleStore: GDM Tech Matters Marathon 22
Thought Leadership: 3 Critical Things for Data Engineers to Know in 2022
Leadership Perspectives: Borut Olenik - Zavarovalnica (Insurance) Triglav
Thought Leadership: Cindi Howson, Chief Data Strategy Officer @ Thoughtspot
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