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Digitize & Automate your Natural Gas Operations with Artificial Intelligence

About This Webinar

A clear vision for implementing a digital strategy across natural gas organizations can have a massive impact.
Learn how you can get there with operational transparency, field productivity, cost optimization and automation.
Explore the steps needed to digitize and automate all your processes.
See how adding artificial intelligence can further improve your workflows and produce actionable results.

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
President & CEO, irth Solutions
Trent Peugh joined irth Solutions in 1999 and currently serves as President & CEO. Trent brings extensive industry experience in diverse roles from Sales, Marketing, IT to Business Development. He understands the needs of people and organizations within the utility and energy industries and works with them to provide solutions to meet those needs. Prior to joining irth Solutions, Trent served in various management roles at Drug Emporium and Lexon Corporation, and holds a B.S. degree in Business Administration from Bowling Green State University.
Webinar hosting presenter
Director of Product Management, irth Solutions
Matthew Abbitt has a strong background in helping software companies grow and thrive. In 2003 Matthew started a consulting startup which began his entrepreneurial carrier. Since this time, Matthew has been the partner of three different startups culminating into successfully integrating Mojungle’s social platform into Peak Performance Solution’s insurance software suite in 2007. Shortly after, Matthew led the business development team at Peak Performance and was appointed as a Director at Ebix Inc. after the acquisition of Peak Performance. Today, Matthew serves as the Director of Product Management at irth Solutions and is responsible for the full product lifecycle of irth’s critical infrastructure asset management application. Matthew holds a B.A. degree in Chemistry from Miami University and a Juris Doctor degree from William Howard Taft University. In 2013, Matthew authored Start Predicting in a world of data science and predictive analysis.