Machine Learning Times
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AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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10 years ago
INFOGRAPHIC: The 2016 State of Enterprise Analytics

 

How analytically-driven are today’s leading companies?

It’s a question more and more organizations are asking themselves as they struggle to transform their data into actionable insights in order to drive growth. And while businesses of all shapes and sizes inspire to be analytically driven, most are not sure what that looks like. We surveyed over 100 business leaders to understand the state of analytics maturity across today’s leading organizations and uncover some of the common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. Here’s what we discovered:


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