Framing business problems as machine learning (ML) problems (sponsored by Amazon Web Services)





Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge best practices to frame problems in a way that key stakeholders and senior management can understand and support, and set the stage for delivering successful ML-based solutions for your business.
This session is sponsored by Amazon Web Services.
What you'll learn
- Discover how to transform your business with ML

Carlos Escapa
Amazon Web Services
Carlos Escapa is the global AI and ML practice leader of the Consulting Partner Network at Amazon Web Services. Previously, he was the cofounder and CEO of VirtualSharp Software, where he led the company to a successful exit to Unitrends (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.
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