27 min

Episode 01 - After the storm Paradigm Shift

    • Technology

Weather forecasting is a tough business. There are many variables, and the margin for error is slim. And errors in prediction here can have dire, life-altering consequences. How can artificial intelligence help us gauge the weather better and thereby save lives? Perhaps, an AI model that can predict a flood 15 days before it strikes? Or, a model that uses AI to figure out in advance which properties are potentially at risk in a disaster? 

Credits: 

Narration: Harsha Bhogle
Executive Producer: Gaurav Vaz
Producer: Archana Nathan
Research, Interviews and Scripts: Prthvir Solanki
Narrative overview: Charu Sharma & Shriram Parthasarathy
Executive leadership: Rohini Srivathsa & Somanna Palacanda
Title track, sound design & background score: Nikhil Rao and Abhijit Nath

All clips and voices used in this podcast are owned by the original creators We thank wholeheartedly all our guests who appeared on this episode 

Prof. Shafiqul Islam
Manmeet Singh
Anshu Sharma  

Sources:


The Wire - News report about the FIR filed by farmers in Beed
Business Standard - News report about the FIR filed by farmers in Beed
Relief Web - Details about the Paradip Cyclone in 1999
Hindustan Times - Details about the Paradip Cyclone in 1999
New Indian Express - Damage and aftermath of Cyclone Amphan
The Hindu - Death toll and aftermath of Cyclone Amphan
OpenAI’s work on Dactyl
Details on OpenAI’s Rubik’s Cube Solving AI arm
History of the Indian Institute of Tropical Meteorology
Details on the 2015 heatwave in India
Scroll - Viral video of a woman cooking eggs on the floor of her home in Telangana
NIE - Viral video of a man cooking eggs on the road in Odisha
WMO - Climate Predictions

Weather forecasting is a tough business. There are many variables, and the margin for error is slim. And errors in prediction here can have dire, life-altering consequences. How can artificial intelligence help us gauge the weather better and thereby save lives? Perhaps, an AI model that can predict a flood 15 days before it strikes? Or, a model that uses AI to figure out in advance which properties are potentially at risk in a disaster? 

Credits: 

Narration: Harsha Bhogle
Executive Producer: Gaurav Vaz
Producer: Archana Nathan
Research, Interviews and Scripts: Prthvir Solanki
Narrative overview: Charu Sharma & Shriram Parthasarathy
Executive leadership: Rohini Srivathsa & Somanna Palacanda
Title track, sound design & background score: Nikhil Rao and Abhijit Nath

All clips and voices used in this podcast are owned by the original creators We thank wholeheartedly all our guests who appeared on this episode 

Prof. Shafiqul Islam
Manmeet Singh
Anshu Sharma  

Sources:


The Wire - News report about the FIR filed by farmers in Beed
Business Standard - News report about the FIR filed by farmers in Beed
Relief Web - Details about the Paradip Cyclone in 1999
Hindustan Times - Details about the Paradip Cyclone in 1999
New Indian Express - Damage and aftermath of Cyclone Amphan
The Hindu - Death toll and aftermath of Cyclone Amphan
OpenAI’s work on Dactyl
Details on OpenAI’s Rubik’s Cube Solving AI arm
History of the Indian Institute of Tropical Meteorology
Details on the 2015 heatwave in India
Scroll - Viral video of a woman cooking eggs on the floor of her home in Telangana
NIE - Viral video of a man cooking eggs on the road in Odisha
WMO - Climate Predictions

27 min

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