• CERAWeek
  • March 18 - 22, 2024

Franz Deimbacher

Amazon Web Services (AWS)

Head of Technology, Energy

Franz X. Deimbacher has over 30 years of experience in the energy industry and has been with Amazon Web Services since 2017 where he serves as the Head of Technology for Energy based in Houston, TX. Previously, Deimbacher was at IHSMarkit (now part of S&P Global), the world’s leading provider of critical information, analytics and expertise for major industries and markets worldwide. As the VP Energy he was responsible for the technical and business transformation of IHSMarkit as well as innovation. Before that, Deimbacher was with SLB (former Schlumberger), the world’s largest oilfield technology company, where he served in senior technical, operational, and management roles in Europe, Africa, Middle East, Russia, and the US. Deimbacher has also worked in several disruptive technology startup companies, and he is currently the VP of the Board of the Society of High-Performance Computing Professionals. Deimbacher has an MSc-degree in Petroleum Engineering and a PhD-degree in Reservoir Engineering, both from the Mining University Leoben, Austria. Deimbacher has over 50 professional publications and he holds several patents. 

Sessions With Franz Deimbacher

Monday, 6 March

  • 02:30pm - 03:00pm (CST) / 06/mar/2023 08:30 pm - 06/mar/2023 09:00 pm

    Leveraging Next Level AI Analytics to Reduce Energy Emissions
    Digital transformation is regularly cited as key to improving operational efficiencies across the energy chain. These efficiencies save money and time, of course, but they also drive down energy consumption and GHG emissions. Many of these improvements have their origin in AI-powered analytics and machine learning. What is the next level of impact that we can expect from these capabilities in driving down emissions? Where are we in terms of creating and deploying AI specifically to target emissions? What successes—and disappointments—are we seeing? To what extent can that impact come from greater use of existing capabilities versus new ones? What digital infrastructure and people skill barriers need to be overcome to achieve that impact?