Machine Learning is quickly becoming a household term and everyone wants to build and use novel ML systems, but getting started harder looks different than you'd expect.
We have invited some of the best of the best data science professionals to share their experiences with deploying machine learning solutions. Join us as we learn from them what to do and not to do along with hearing about their projects and the impact they had.
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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Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Acquired