49 min
70. AI/ML for Sustainability Through The Corporate Glass
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- Careers
Artificial Intelligence (AI), and Machine Learning (ML) are penetrating our lives & work. Data consumption, analysis and modeling contribute to increasing the carbon footprint of products.
How can AI/ML be applied in the field of sustainability? What kind of skills and training are required to create sustainable solutions ? What are the barriers to entry and what are the opportunities? As people look to dive into the field, how can one effectively establish technical expertise & credibility? To answer this and share his story, we have with us Narayanan Subramanium, a thought leader in Technology and Sustainability. He is currently the CTO of Eugenie and has nearly 3 decades of experience spanning Industrial AI for sustainability, electric vehicles IoT, distributed systems and networking. He is part of the IEEE Bangalore Computer Society, Executive Committee. He has a Masters in Electrical Engineering from University of Maryland. He completed the chief digital officer executive education program from Indian School of Business and a post graduate diploma in Artificial Intelligence and Machine Learning from the University of Texas, Austin.
He talks about technology and sustainability at various events and conferences. As part of the G20, he has been invited by TiE to talk about Climate Change and Disaster Risk Reduction.
Show Notes
Narayanan's Linkedin Profile: https://www.linkedin.com/in/cnsubramaniam/
IEEE Code of Ethics: https://www.ieee.org/about/corporate/governance/p7-8.html
Narayanan's Website: https://climate350.com/
Other Talks
https://www.linkedin.com/posts/cnsubramaniam_netzero-sustainability-carbonemissions-activity-7026907532182900737-atLr/?utm_source=share&utm_medium=member_android
https://www.linkedin.com/posts/race-recycling-and-circular-economy-conference_raceconferences-plasticsconference-brandpartnerships-ugcPost-7033747867651457024-6ngh/?utm_source=share&utm_medium=member_android
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Support this podcast: https://podcasters.spotify.com/pod/show/throughthecorporateglass/support
Artificial Intelligence (AI), and Machine Learning (ML) are penetrating our lives & work. Data consumption, analysis and modeling contribute to increasing the carbon footprint of products.
How can AI/ML be applied in the field of sustainability? What kind of skills and training are required to create sustainable solutions ? What are the barriers to entry and what are the opportunities? As people look to dive into the field, how can one effectively establish technical expertise & credibility? To answer this and share his story, we have with us Narayanan Subramanium, a thought leader in Technology and Sustainability. He is currently the CTO of Eugenie and has nearly 3 decades of experience spanning Industrial AI for sustainability, electric vehicles IoT, distributed systems and networking. He is part of the IEEE Bangalore Computer Society, Executive Committee. He has a Masters in Electrical Engineering from University of Maryland. He completed the chief digital officer executive education program from Indian School of Business and a post graduate diploma in Artificial Intelligence and Machine Learning from the University of Texas, Austin.
He talks about technology and sustainability at various events and conferences. As part of the G20, he has been invited by TiE to talk about Climate Change and Disaster Risk Reduction.
Show Notes
Narayanan's Linkedin Profile: https://www.linkedin.com/in/cnsubramaniam/
IEEE Code of Ethics: https://www.ieee.org/about/corporate/governance/p7-8.html
Narayanan's Website: https://climate350.com/
Other Talks
https://www.linkedin.com/posts/cnsubramaniam_netzero-sustainability-carbonemissions-activity-7026907532182900737-atLr/?utm_source=share&utm_medium=member_android
https://www.linkedin.com/posts/race-recycling-and-circular-economy-conference_raceconferences-plasticsconference-brandpartnerships-ugcPost-7033747867651457024-6ngh/?utm_source=share&utm_medium=member_android
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Support this podcast: https://podcasters.spotify.com/pod/show/throughthecorporateglass/support
49 min