Fueling Your Machine Learning Investment for Success

Successful machine learning initiatives depend on so much more than leveraging the right tools and building the right models. To get the most value out of your ML investment, you need to align the right people and processes to drive toward your organization’s strategic goals. But where do you start, and how do you measure success?

Hear how Exelon Utilities transformed their approach to data science to create a data-centric culture. 

During this on-demand webinar we'll discuss:
  • The challenges of driving machine learning in the enterprise
  • The roadmap to success - who to get involved, when and how to involve them 
  • How to realize value from your ML investment 

Meet Our Speaker


    Yannis Katsanos is the Head of Customer Data Science in the Customer Business Analytics department at Exelon. In this role, he is charged with developing a program of analytics that focuses on delivering value to customers and reducing operating costs. He comes to Exelon with more than 20 years of experience in big data analytics, having worked in several industries and handled data into the range of several petabytes and trillion of rows.

    About Exelon: Exelon is America’s leading competitive energy provider, with one of the cleanest and lowest-cost power generation fleets. Its utilities serve millions of electric and gas customers.​
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