The remarkable and rapid development of AI and Machine Learning techniques for supervised learning has generated a high level of interest in applying algorithms that enable companies to solve use-cases such as predicting consumer sentiment and churn.

However, in our experience, less attention has been paid to the deeper questions of whether pure prediction methods are enough to solve these kinds of business challenges. In this presentation, we will make the argument that in many real-world business cases, the optimal solution involves an additional level of analysis that takes into account statistical causal models of interventions.

At this event, you will learn about:

  • An Introduction to AWS AI and Machine Learning Platform
  • How to demonstrate the limitations of pure predictive models and outline solutions
  • How Enterprises can start building their Machine Learning Capabilities, AI and Machine Learning Services

When: Tuesday, December 5th 2017, 1:00 PM – 3:00 PM EST

Where:Tech Alpharetta 2927 Webb Bridge Road, Alpharetta, GA 30009 (Behind the Firehouse)

Who should attend:

Enterprise Architects, Cloud Architects, Big Data, Machine Learning and AI Practice heads, CIO, CTO, Senior Technical Managers


Nitin Tyagi, Vice President, Enterprise Solutions, Cambridge Technology, Inc.
Peter Buckley, Vice President Sales, Cambridge Technology, Inc.