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Nations such as the UK, United States and China are leading investment levels in AI and showing increased commitment toward AI strategies, projects and solutions that are leading to positive change in job creation, productivity and long-term economic competitiveness.
In the context of the energy industry and its associated verticals, AI investment, innovation and implementation are becoming core considerations when it comes to climate change enablement. Power outages and predictive maintenance, oil field and offshore IoT, supply and demand forecasting, grid decentralization and balancing services are some of the investment areas garnering serious attention.
Alberto Todeschini, PhD, discussed:
• The distinction between narrow AI and general AI
• The development history and future development of artificial neural networks
• The opportunities for AI and remote sensing from satellites and drones
• The opportunity for hyper-personalisation being applied to specific problems for people and organisations
Note – this webinar took place on Thursday 29 April 2021.
Alberto Todeschini, PhD, is a lecturer in AI at the University of California, Berkeley, where he recently received a Distinguished Faculty Award, and Faculty Director for the GetSmarter@Berkeley Online Executive Education Program in AI strategy.
Between industry and academia, he has supervised over 150 projects in AI, machine learning, and data science. Recent projects include work on ESG investing, solar energy, and water sustainability. Alberto has consulted extensively for organisations operating in healthcare, pharma, legal tech, agriculture, ad tech, and finance.
Alberto has also taught over 500 graduate students who now work throughout the world’s major tech companies, public and private financial institutions, governments, and dozens of startups in various industries.
