Date: September 10, 2015
Time: 11:00am to 12:00pm CDT
Price: FREE (presentation deck included)
Analytics initiatives continue moving closer toward real-time data and analysis, built upon a foundation of increasingly complex data feeds and information demands. Predictive analytics, particularly machine learning, can help utilities make real-time and reliable predictions for customer service, customer engagement, and overall grid optimization. Yet utilities still grapple with how to make the best use of these analytics and vast data sources.
Take some time to learn about how Direct Energy is pioneering the use of predictive analytics in the energy industry. Join Robbie Wright, Vice President of Digital & Innovation at Direct Energy, and Dr. Noa Ruschin-Rimini, CEO of Grid4C, for a discussion about the emerging importance of predictive analytics and its impact on customer engagement. In this webinar you will learn:
Key Points
- Where predictive analytics can help maximize the value of the future grid
- How predictive analytics can meet growing customer expectations and increase customer engagement
- The definitions of predictive analytics and machine learning in the context of the energy industry
- Customer use cases for predictive analytics
Webinar Thought Leaders
Dr. Noa Ruschin-Rimini
Founder & CEO
Grid4C
Robbie Wright
Vice President of Digital & Innovation
Direct Energy
Moderator
Jon Arnold
Advisor
Zpryme
About Direct Energy
Direct Energy is one of North America’s largest energy and energy-related services providers with nearly five million residential and commercial customer relationships. Direct Energy provides customers with choice and support in managing their energy costs through a portfolio of innovative products and services. A subsidiary of Centrica plc (LSE:CNA), one of the world’s leading integrated energy companies, Direct Energy operates in 50 U.S. states plus the District of Columbia and 10 provinces in Canada. To learn more, visit directenergy.com.
About Grid4C
Grid4C empowers all Energy value chain participants by providing them the power to foresee, leveraging advanced Machine Learning capabilities to deliver accurate, granular predictions, which are crucial for tackling the rising challenges of today’s Energy Industry. Our solutions enable to analyze the massive amount of sub-hourly data collected from millions of smart meters, together with customer data, pricing information and more, in order to maximize the efficiency of Energy operations and increase customer engagement.To learn more visit,grid4c.com
