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.
Author Series: The Chief Data Officer’s Playbook
Author Series: The Unified Star Schema by Francesco Puppini and Bill Inmon
Data & Analytics Leadership Perspectives: Khaled Chowdhury - CMC Materials
May I Have Your ATTENTION, Please: An ”Attention Economy” Fireside Chat
Demystifying Geospatial Data
Do you hire ”OLD PEOPLE”? Ageism in Tech: An Ongoing Battle
2nd Annual GDM Women Panel Discussion with Top Data Leaders in Denver
Stop the Madness: Adopting Modern Governance for Digital Transformation
International Institute for Analytics‘ Impact on the Data Industry
Banish Burnout: Unselfish Self-Care for Busy Women
How Starburst Enables Digital Transformation + Immediate Time-to-Insights
Author Series: People Skills for Analytical Thinkers
Author Series: People Before Things with Chris Laping
Microsoft’s Data Strategy and How it Accelerates a Data Culture
Getting Out of the Machine Learning POC Cycle Funk
Confidence Is Not What You Think
Deep Dive Google Data Services
War Wounds and Wins: Machine Learning Stories from the Frontline
Author Series: Building Analytics Teams
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