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.
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
Author Series: 97 Things About Ethics Everyone In Data Science Should Know
Deep Dive Google Data Services
Author Series: Building Analytics Teams
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Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Acquired