Artificial intelligence (AI) has received renewed interest from businesses and academia in recent years. In 2017, thought-leader NBER held a conference to set a research agenda on the economics of artificial intelligence, while tech giant Google announced its ‘AI first’ strategy. The following year, McKinsey counted more than 400 use cases of AI and this number continues rapidly growing. This webinar will discuss how AI tools can impact firms’ strategies, with emphasis on the energy utility industry (based on the example of Enel). Among other things, speakers will comment on AI as a general purpose technology and discuss how macro-economic tools can be paired with AI to forecast future price and consumption scenarios.
Anna (Ebers) Broughel is a renewable energy economist at an engineering consulting firm Tetra Tech. Her most recent research reviewed over 60 international energy scenarios for 2040 and beyond, developing four main scenarios for post-COVID19 energy futures. Prior to joining Tetra Tech, she worked at the U.S. Department of Energy as a Science and Technology Fellow. During her post-doctoral training at the University of St.Gallen in Switzerland and at the University of Maryland, College Park, she researched social acceptance of wind energy and other energy technologies. She holds a PhD in economics and policy from the State University of New York in association with Syracuse University, where she was a Fulbright scholar. Currently, she serves as a council member for the U.S. Association for Energy Economics and is a non-resident fellow at the University of Texas at Austin. In the past, Dr. Broughel has taught classes in energy policy and climate change as an adjunct professor at the University of Maryland, College Park.
Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. Avi received his Ph.D. in economics from Northwestern University. Avi’s research focuses on the opportunities and challenges of the digital economy. He has published academic articles in marketing, statistics, law, management, medicine, computing, and economics. His work has been referenced in White House reports, European Commission documents, the New York Times, the Economist, and elsewhere. Avi is a co-author of the bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence.
Giuseppe Amoroso is the Head of Digital Strategy and Governance at Enel Group. The first part of his professional life was in the aeronautical sector at ATR (Toulouse, France) and maintenance at Alitalia Servizi. His career continued in strategic consulting at Roland Berger Strategy Consultants working in a variety of fields including transportation, fast-moving consumer goods, and manufacturing. He joined Enel in 2008 carrying out tasks in various capacities as the Head of Group Organizational Development, project manager for Engineering and Construction of power plants in Italy and abroad, Head of Operations & Maintenance for Enel electricity distribution network in Italy. In his current role, he ensures the governance of the Enel Group's digitization program (over 4 bln EUR invested over 3 years) and guides the company's path of data-driven transformation. This is made possible by encouraging the adoption of technologies based on the use of data to lead operational processes (e.g. AI, advanced analytics).