By using website you agree to our use of cookies as described in our cookie policy. Learn More

TDWI Las Vegas Strategy Summit 2020 has ended, sorry you missed it!

Join us for an upcoming conference, Strategy Summit, or check out our full calendar of training opportunities.

EXPERT SPEAKER: How to Successfully Add ML to Analytics

February 11, 2020

Prerequisite: None

Erik Thomsen


Blender Logic, Inc.

The goal of Analytics is to support better business decisions through the generation of relevant and accurate inferences made accessible to the right people in an understandable and timely manner. From the standpoint of Analytics, the promise of machine learning (ML) is the promise of more. More relevant information, more accurate inferences, more understandable relations and more timely delivery – all gleaned through deeper learning.

But there is a catch. Though ML (e.g., deep neural nets) can arguably learn better than native Analytics functions (e.g., least squares), ML realizes its ‘magic’ through specialized offline training exercises that are highly sensitive to the specifics of the training data. Integrating the results of ML-based advanced analytics (e.g., from text) into production Analytics and ensuring that the ML training processes are appropriately guided by knowledge that already exists and is constantly changing, is a challenge that has kept most organizations from realizing the full benefits that ML has to offer.

In this session you will learn about:

  • The major challenges for Analytics to successfully leverage ML
  • How to choose where to start
  • How to use ML to extract relevant information from text that can be integrated into other analytic processes

The clock is ticking.

Register Now

Register Online

Rest easy—online registrations for this conference are secure. Our secured server environment keeps your information private.

Subscribe to receive strategy summit updates via email