Join us as we delve into the innovative world of analytics and machine learning, exploring how Spire is leveraging modern technologies and techniques to gain deep insights and predictions into customer behavior and usage patterns. Don’t miss this opportunity to explore the future of data-driven decision-making with Spire.
Attendees will receive 1 Professional Development Hour (PDH) upon completion.
Meet Your Instructors
Henry Campbell | Director of Advanced Analytics, Spire
Henry Campbell is the Director of Advanced Analytics for Spire. In this role, Henry leads Spire’s efforts in bringing data, intelligence and insights to our employees and customers. He is currently leading Spire’s efforts to transition to a modernized analytics platform that will be able to provide deeper insights, automated decision-making, and advanced machine-learning capabilities. These efforts support Spire’s long-term technology evolution to build a more complete understanding of Spire’s customer needs and provide them with exceptional service. Henry has 15 years of experience in Business Intelligence, Technology, Customer Sales and Marketing analytics experience. Before his work at Spire, Henry worked in an advisory role at PwC supporting technology transformations for the Utility Industry. His experience allows him to bridge information and data to business users and customers through innovative analytical approaches and solutions. Henry holds a bachelor’s degree, MBA and master’s degree in Management Information Systems from the University of Alabama. He also holds an MS degree in Environmental Management from Samford University.
Brock Nosbisch | Manager of Advanced Analytics, Spire
Brock Nosbisch is the Manager of Advanced Analytics for Spire. In this role, Brock oversees Spire’s Analytical Technology and leads a team focused on extracting insights, and driving decisions and action in new meaningful ways. He is leading efforts to build a cloud-based analytical platform that enables Spire to develop custom applications and APIs, access big data, and create machine learning models.