• Chris Wallace, InterGen, on the Possibilities and Limitations of Data and AI

  • May 15 2024
  • Duración: 22 m
  • Podcast

Chris Wallace, InterGen, on the Possibilities and Limitations of Data and AI  Por  arte de portada

Chris Wallace, InterGen, on the Possibilities and Limitations of Data and AI

  • Resumen

  • This week we are joined on the Hypercube podcast by Chris Wallace, Head of Data and Analytics at InterGen, to get his take on how data and AI are impacting both the organisation, and the wider industry.

    Chris takes us behind the scenes at InterGen and talks through how the data team is working closely to support the trading team and the business more broadly. He cuts through the hype of new technologies, focusing on where the application of established technologies like predictive modelling and automation can have a tangible business impact. He also highlights the limitations of AI tools like ChatGPT, emphasising the importance of trust and confidence in the models being used, and gives us a frank and realistic assessment of the current landscape.

    In this episode, we discussed:

    • Taking a cautious approach to cloud migration.
    • The challenge of finding the overlap between on-premises and cloud skills
    • Which data tools are currently adding the most value.
    • The need for data teams to educate the wider business
    • Delivering data tools that work for the end user

    The weekly Hypercube podcast sits down with leaders in the energy and utilities sectors to explore how data analytics can help businesses make smarter decisions and accelerate business growth.

    Chapter Markers

    [0:29] Chris gives a quick introduction to InterGen and his role with the company.

    [2:42] Chris explains the need for caution when tackling cloud migration in the energy industry.

    [4:00] Chris discusses some of the skills challenges in the energy sector and attracting the right talent.

    [5:18] Adam asks if there is anything now holding back the energy/utility sectors.

    [7:52] Chris shares his perspective on the current use of AI and data science in the industry.

    [9:31] Chris shares his view on educating non-technical stakeholders on the limitations of AI.

    [13:16] Chris highlights the need to be cautious about what can be achieved with LLMs.

    [15:06] Chris talks about some of the ways AI and data are being used to support energy trading.

    [20:53] Chris talks about implementing tools that work for the end user.

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    If you want to explore how data and artificial intelligence can be used to help your organisation make smarter decisions and accelerate business growth, get in touch by visiting the Hypercube website: https://wearehypercube.com/

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