The entire energy and utilities value chain is in the midst of a radical digital transformation that is delivering more data than ever before. Hidden in this data are rich opportunities for companies to innovate, differentiate, and compete through streamlined energy delivery and improved customer satisfaction. But there’s still far too much data for internal operations teams to effectively extract the most relevant insights. Those who quickly leverage emerging technologies will be best positioned for success.
AI and machine learning activate the value of this hard-earned data to drive business decisions in the energy and utilities industry. In this webinar, we’ll explore how data is being used to improve the customer experience—from grid assets to call centers to storage—and how AI is more approachable and accessible than you think.
Key audience takeaways:
- Identify the many opportunities for using data and machine learning to enhance customer satisfaction and improve operations.
- Learn how data and automated model building can amplify the value of data science and analyst teams with improved analytic coverage, agility, and performance.
- Understand how machine learning informs decision making through data-driven predictions about unknown grid asset failures, energy demand trends, and customer behavior profiles.