Key Takeaways
AI is now firmly embedded in the energy industry ecosystem
The energy industry is learning fast how to scale up pioneering AI projects, turning them into systemwide applications that speed up work and create financial efficiencies.
“Let’s remember how much progress we’ve made with AI.” Haavard Oestensen, CCO & EVP, Kongsberg Digital, told the conference.
“We’re now no longer talking about small use cases, with very limited funding for a single asset, we are talking about industrial scale. Thousands of users are saying these technologies are now impacting how they work and that they need more funding. We should start inviting more CFOs to these conferences to see the value in AI adoption,” he said.
AI should be driving outcomes, not just productivity gains.
“AI is already improving workforce productivity and the user experience, but the bigger value comes when it’s embedded into core workflows to deliver tangible business outcomes,” Justin Lo, Senior Technical Manager, Enterprise AI, at Chevron
told delegates in a keynote speech.
AI and LLMs are revolutionising data analysis
AI is making everyone smarter.
“The ability to interact in natural language with your data – to say plot this time series, zoom into this or whatever you need to do – will make everyone a much more effective analyst – and it will probably mean we won’t need to use static dashboards in five or 10 years’ time,” the head of one AI-powered knowledge platform for energy companies told the event.
AI is now firmly embedded in the energy industry ecosystem
The energy industry is learning fast how to scale up pioneering AI projects, turning them into systemwide applications that speed up work and create financial efficiencies.
“Let’s remember how much progress we’ve made with AI.” Haavard Oestensen, CCO & EVP, Kongsberg Digital, told the conference.
“We’re now no longer talking about small use cases, with very limited funding for a single asset, we are talking about industrial scale. Thousands of users are saying these technologies are now impacting how they work and that they need more funding. We should start inviting more CFOs to these conferences to see the value in AI adoption,” he said.
AI should be driving outcomes, not just productivity gains.
“AI is already improving workforce productivity and the user experience, but the bigger value comes when it’s embedded into core workflows to deliver tangible business outcomes,” Justin Lo, Senior Technical Manager, Enterprise AI, at Chevron
told delegates in a keynote speech.
AI and LLMs are revolutionising data analysis
AI is making everyone smarter.
“The ability to interact in natural language with your data – to say plot this time series, zoom into this or whatever you need to do – will make everyone a much more effective analyst – and it will probably mean we won’t need to use static dashboards in five or 10 years’ time,” the head of one AI-powered knowledge platform for energy companies told the event.