Data, AI and our Climate

Data, AI and our Climate

Event Type: 

  • Seminar


6 November, 2020 - 16:00 to 17:00

About the Event: 

"Climate change is, quite simply, an existential threat for most life on the planet - including, and especially, the life of humankind” -UN Secretary-General António Guterres

Since the start of the Industrial Revolution, there has been a dramatic impact on our climate. Carbon dioxide levels today became higher than at any point in at least the past 800,000 years. Obtaining data to understand climate dynamics on our planet is extremely important. IoT technologies such as marine robotic systems enable scientists to take measurements in places that have previously been out-of-reach. New mini-satellites allow taking measurements in the middle of hurricanes improving forecasts. Drones can collect information on air quality, monitor wildlife, deforestation rate, and collect many other data sets highly important for climate research. Advancement of AI, IoT, and Big Data technologies can help to find multiple ways to reduce greenhouse gas emissions (urban planning, improving vehicle efficiency, optimizing supply chains, and many others). But, what is the carbon footprint of Big Data itself? Data centers account for around 1% of total global electricity demand*. In some countries, energy consumption by data centers can grow dramatically in the next decade**.  The Information and Communication Technology ecosystem as a whole accounts for more than 2% of global emissions that are comparable with the aviation industry. Big Data and AI can help with many climate change-related problems, but it is important to keep the industry impact in check. 

About the Speaker: 

Anya Rumyantseva

Anya Rumyantseva is a Senior Data Scientist at Hitachi Vantara. Anya received a Ph.D. degree from the University of Southampton and BS/MS degree in Physics from Lomonosov Moscow State University. Anya is also a fellow of the Nippon Foundation (Japan). The fellowship was awarded for her to work in the Bermuda Institute of Ocean Science where she studied the impact of the ocean surface layer on hurricanes intensity. Her PhD thesis was focused on using IoT data obtained from marine robotic systems for improving our understanding of phytoplankton blooms and their impact on the global climate. Her publications on using IoT technologies in climate research were featured in Nature and were one of the top read papers in Global Biogeochemical Cycles journal. At Hitachi Vantara, Anya is working on projects that use IoT and machine learning techniques to improve business operations across different industries. Anya was also shortlisted for the Women in IT Excellence Awards in the Rising Star nomination.

04 Nov 2020

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