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Modernizing Legacy Hydroelectric Operations with Modern Data and Analytics Practices

Many hydroelectric plants operate using legacy equipment and practices and face significant challenges when using their data to upgrade to today’s modern digital standards. Successfully improving operations and maintenance planning, execution, and efficiency depends on creative approaches to make data available and operationalized at scale.  

Join this webinar to learn:

  • Why digitalization and virtualization are important to operators’ business goals
  • What operational problems and use cases operators can solve in partnership with Cognite
  • How Cognite’s industrial data foundation supports rapid deployment and accelerated time to value
  • Technical case studies and lessons learned from this project




Modernizing Legacy Hydroelectric Operations with Modern Data and Analytics Practices

Jonas Hertel

Jonas Hertel

Director of Customer Success, Power & Utilities

At Cognite, Jonas helps develop relevant use cases and proposes valuable applications for the power and utilities market. He has more than a decade of experience in the Norwegian power generation industry as a production planner in maintenance planning and strategy, and he was previously in charge of an O&M project portfolio. 

anita-skagnes bw SQ

Anita Skagnæs

Chief Digital Officer

Anita leads digitalization efforts for the Ringerikskraft energy group and is responsible for coordinating and developing the company's digital initiatives. This includes furthering the use of innovative technology such as drones and virtual reality for maintenance work on the power grid. Previously, Anita worked for eight years as a management consultant at EY.

Gabe Prado-1

Gabe Prado

Product Marketing Director, Power & Utilities

At Cognite, Gabe Prado aims to help customers understand the challenges with their data infrastructure and identify how it can best be applied to solve problems across the Power & Utilities value chain. He has previously worked in the industrial test and measurement, and ML and advanced analytics industries.