From Complexity to Competitive Advantage.

An introduction to unsupervised AI for enterprise analytics.



Enterprises are projected to spend $100 billion on AI by 2023.

The dominant form of machine learning used within the Analytics and BI industries are based on supervised learning. This form of traditional AI has struggled to scale across vast complexity of enterprise data. Yet the recent introduction of scaled unsupervised learning is transforming how enterprise’s analyze and find hidden insights within their complex data.

Unsupervised learning is rapidly changing how businesses approach analysis. It's time to invest in a strategy that works. With unsupervised AI at the helm, you'll be able to generate insights faster, reduce time-consuming data preparation, and scale faster.

What’s in the Whitepaper?

  • Why traditional supervised AI has struggled to scale across complex data.
  • Learn more about how to power your BI while driving operational efficiency.
  • The difference between supervised vs. unsupervised learning.
  • Recent applications of scaled unsupervised learning within the enterprise, particularly in analytics.