Machine learning podcast
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In this podcast we discuss one example of the 10% that do succeed. Jørn Engberg, project manager ICT Norwegian based NTE, shares his experiences bringing new technology and mindset into the organization to generate sizeable savings using machine learning techniques and technology.

He identifies key challenges that managers responsible for implementing new technology must surmount: their inescapably dual role between IT and business, legitimate resistance to change, the right degree of promotion, the choices of implementing technologies, and the need for one or two people to drive and enable change. You will learn:

  • The goals for AI/ML at NTE
  • Saving millions with new technology
  • Key considerations introducing new technologies
  • Overcoming challenges in digital transformation
  • Selecting the right technologies for you
  • Recommendation for utilities to utilize emerging technologies
  • Future vision for the energy sector

Speaker

Jørn Engberg, Project Manager ICT Norwegian based NTE

Project manager and solution designer at NTE Holding. His recent work includes project management for smart metering at the utility company, IT strategy work, IT architecture and new business models.

More episodes

Episode 1: Why Podcast

Episode 2: iPaaS and the future of computing

Episode 3: Energy utility trends update from Asian Utility Week 2019 (with China Light & Power)

Episode 4: The Role of Data Science in the Energy sector today (with Powel)

Episode 5: Trends in the European Energy sector

Episode 6: Importance of Data in tomorrow’s Energy Landscape

Episode 7: The Agile Utility (Experiences from EnBW)

Episode 8: How Enterprise Architecture is driving the Energy Transition

Episode 9: The Future for Digital Integration Platforms: A new Architecture for Innovation

Episode 10: DSO 2.0. How new regulations in Germany affect Digital Transformation

Episode 11: Emerging platform business models disrupting utilities

Episode 12: Women in Technology

Episode 13: Big trends driving Connected Energy and the Future of Utilities

Episode 14: Data Lake Architecture: A data science perspective for utilities

Episode 15: Modern UI: Utilizing GraphQL to present Big Energy Data

Episode 16: Hybrid data lake architectures for advanced OT analytics at the edge

Our podcast library can also be accessed from our website

Fans of the podcast can contact us via email to provide feedback and ideas for the podcast, or to become a guest on the show.

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