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The role for AI in re-shaping future energy

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Manage episode 367130382 series 3445110
Contenuto fornito da World Future Energy Summit. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da World Future Energy Summit o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

AI-generated data has the potential to drive energy efficiency and reduce costs, but what about its environmental footprint? And will it lead to the loss of millions of jobs in the sector?

In this episode of Future Energy Insights, we examine the role for AI in the future energy space and discuss how we might future proof technology to ensure it is used to the advantage of all.

AI-generated data is helping to optimise energy efficiency, improve supply and demand predictions, and increase grid flexibility.
Indeed, some believe AI might be the key to answering the long-standing trilemma of providing affordable, safe, and sustainable energy. But will its long-term environmental footprint make us bad ancestors? And how do we regulate machine learning and protect the jobs it will inevitably replace?
Rui De Sousa, industry & value advisor at SAP, joins Khurram Hamid, author and, co-founder of the Web 3 institute and Dr Patrick Noack, director of Dubai Future Foundation.
This episode is hosted by Jeffrey Beyer, founder of Zest Associates, a sustainability consultancy.
Powered by World Future Energy Summit, the Future Energy Insights show seeks to address the biggest challenges shaping the future of energy today, both in the Middle East and around the world. Find us on social media at @WFES

  continue reading

21 episodi

Artwork
iconCondividi
 
Manage episode 367130382 series 3445110
Contenuto fornito da World Future Energy Summit. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da World Future Energy Summit o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

AI-generated data has the potential to drive energy efficiency and reduce costs, but what about its environmental footprint? And will it lead to the loss of millions of jobs in the sector?

In this episode of Future Energy Insights, we examine the role for AI in the future energy space and discuss how we might future proof technology to ensure it is used to the advantage of all.

AI-generated data is helping to optimise energy efficiency, improve supply and demand predictions, and increase grid flexibility.
Indeed, some believe AI might be the key to answering the long-standing trilemma of providing affordable, safe, and sustainable energy. But will its long-term environmental footprint make us bad ancestors? And how do we regulate machine learning and protect the jobs it will inevitably replace?
Rui De Sousa, industry & value advisor at SAP, joins Khurram Hamid, author and, co-founder of the Web 3 institute and Dr Patrick Noack, director of Dubai Future Foundation.
This episode is hosted by Jeffrey Beyer, founder of Zest Associates, a sustainability consultancy.
Powered by World Future Energy Summit, the Future Energy Insights show seeks to address the biggest challenges shaping the future of energy today, both in the Middle East and around the world. Find us on social media at @WFES

  continue reading

21 episodi

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