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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

Framing business problems as ML problems (sponsored by AWS)

2:35pm-3:15pm Thursday, September 6, 2018
Location: Yosemite A

What you'll learn

  • Get best practices and tips for framing business problems as machine learning problems and setting the stage for success

Description

The size and complexity of problems that can be tackled with machine learning represents a new approach to business problem solving. Carlos Escapa explains how to identify use cases for ML, shares best practices for framing problems in a way that key stakeholders and senior management can understand and support, and helps you set the stage for delivering successful ML-based solutions to your business.

This session is sponsored by AWS.

Photo of Carlos Escapa

Carlos Escapa

AWS

Carlos Escapa is the global AI and ML practice leader of AWS’s Consulting Partner Network. Previously, he was the cofounder and CEO of VirtualSharp Software, where he led the company to a successful exit to Unitrends Inc. (Insight Venture Partners); the general manager of Southern Europe at VMware; vice president of channels at CA Technologies in Europe; and business development director at Sterling Software Japan. Carlos holds an MS in computer science from Virginia Tech and a BS from Illinois State University.