Transforming IoT Data into Results for Power

Sponsored by: OSIsoft

Focused on:

  • Iot
  • Big Data
  • Power
  • Digital Transformation

Date: 12 December


Time: 3PM London/10AM New York

How to avoid big data distraction and achieve real Digital Transformation

The energy market is undergoing major changes. Deregulation is increasing pressure on companies to reduce costs, ensure generation assets are available at all times and eliminate forced outages. Furthermore, the influx of renewables also affects the way plants operate, demanding more flexibility and production forecasting.

In this scenario, the Internet of Things and Digital Transformation seem to be the answer to all problems. However, how to avoid big data distraction and leverage the benefits from these trends and technologies?

Join us on this webinar to learn about how to approach IoT and use data to:

• Adopt CBM strategies to improve asset health and avoid forced outages;
• Increase plant reliability and availability to avoid penalties and maximize revenue;
• Ensure safety and security for operations.

Presented by

David Thomason,

Industry Principal, Power Generation

David Thomason has 36 years' experience in applying information technology to the requirements of the electrical Power Generation & Utility industry. He is an active advocate in the use of advanced analytics and technologies to enhance business value. Prior to joining OSIsoft, David's responsibilities included working with multi-market Energy Management System, Plant Data & Analytics systems, SAP Work and Material Management, custom software development & Support teams. He joined OSIsoft in January 2011 in Business Development focusing on global power generation.

Key Learning Objectives

  • How to better approach IoT adoption
  • How to transform IoT data into insights
  • How to use data to improve your company performance


  • Site/Plant Manager
  • OT/IT Manager
  • Operations/Maintenance Manager
  • Business Transformation teams (IT/OT)
  • Smart Grid Transformation teams