The world of AI is replete with innovation. But perhaps it is time to talk about that innovation. How can we innovate and be responsible at the same time? How can industry leaders in AI empower others through their innovations? How can we employ AI for public good and welfare?

Credits:

Narration: Harsha Bhogle
Executive Producer: Gaurav Vaz
Producer: Archana Nathan
Research, Interviews and Script: Vinay Aravind
Narrative overview: Charu Sharma and Shriram Parthasarathy
Title track, sound design and background score: Nikhil Rao, Avyay Gujral 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

• Jean Philippe Courtois - Executive Vice President and President, National Transformation Partnerships at Microsoft
• Sriram Rajamani - Distinguished Scientist and Managing Director at Microsoft Research India
• Girish Nayak - Chief, Customer Service, Operations and Technology at ICICI Lombard
• Ganesh Shankar -  Founder and CEO, FluxGen

Links to clips used in the episode and citations:

1. History of the Electric Power Industry - History of the Electric Power Industry (archive.org)
2. History of the World Wide Web - History of the Web – World Wide Web Foundation
3. Share of IT in India’s GDP - India: IT-BPM industry share in GDP 2021 | Statista
4. Microsoft’s Responsible AI Principles - Our approach to responsible AI at Microsoft
5. About ICICI Lombard’s use of AI - ICICI Lombard bets big on AI to improve customer experience - Express Computer
6. About HAMS by Microsoft - HAMS: Harnessing AutoMobiles for Safety - Microsoft Research
7. About FluxGen’s AI based water monitoring system - Solution – FluxGen

To learn how Microsoft is working to empower every developer to innovate, every organization to transform industries and every individual to transform society through its differentiated Microsoft AI & Innovation vision, please visit microsoft.com/ai

With its vastly rich history and culture, India is a heritage-lover’s paradise. But there’s a problem. A large number of monuments, museums and art is either badly maintained or looks unsalvageable. Solutions from the world of AI, however, argue that things need not be the way they are right now. AI can be used to travel in time to see how the object was originally and attempt to restore it to a large extent.

Credits:

Narration: Harsha Bhogle

Executive Producer: Gaurav Vaz

Producer: Archana Nathan

Research, Interviews and Scripts: Prthvir Solanki

Narrative overview: Charu Sharma and Shriram Parthasarathy

Title track, sound design and background score: Nikhil Rao, Avyay Gujral 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

• Benoy K. Behl, art historian, filmmaker and photographer
• Ashwin Srivastava, CEO of Sapio Analytics
• Professor Ronojoy Adhikari, Associate Professor of Applied Mathematics at University of Cambridge
• Fabin Rasheed, Creator of Auria Kathi
• Sahej Rahal, Digital Artist

Links to clips used in the episode and citations:

• The Arctic World Archives website: https://arcticworldarchive.org/
• Mann Ki Baat Episode where Narendra Modi mentions the Sapio Analytics Project: https://www.youtube.com/watch?v=L7gEx18Zw98
• Explore the ancient city of Olympia through Microsoft’s project: https://inculture.microsoft.com/arts/ancient-olympia-common-grounds/
• A short article about the AI painting sold at Christie’s: https://www.christies.com/features/a-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx
• Auria Kathi’s Instagram page: https://www.instagram.com/p/B6vR2kaFXSd/

To learn how Microsoft is working to empower every developer to innovate, every organization to transform industries and every individual to transform society through its differentiated Microsoft AI & Innovation vision, please visit microsoft.com/ai

AI may not be able to cure diseases, well, at least not yet. But it could help identify a problem well in advance and much before it becomes too late. How? By helping doctors, hospitals, trawl through massive data and images and thereby efficiently screening patients that need immediate care. In other words, AI can make diagnosis faster and in healthcare, time is hope and hope is everything.

Credits:

Narration: Harsha Bhogle
Executive Producer: Gaurav Vaz
Producer: Archana Nathan
Research, Interviews and Script: Vinay Aravind
Narrative overview: Charu Sharma and Shriram Parthasarathy
Title track, sound design and background score: Nikhil Rao, Avyay Gujral & 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

• Gabriel Vaz, a retired journalist based in Bangalore
• Prashant Gupta, program director for Microsoft Cloud
• Dr. Sujoy Kar, the Chief Medical Information Officer of the Apollo Hospitals group
• K Chandrasekhar, Founder and CEO of Forus Health
• Subadra Kalyanaraman, Manager with a consulting firm based in Chennai

Links to clips used in the episode and citations:

1. Cardiovascular disease in India: A 360 degree overview - PMC (nih.gov)
2. General cardiovascular risk profile for use in primary care: the Framingham Heart Study
3. Apollo Hospitals has launched an Artificial Intelligence tool to predict the risk of cardiovascular disease
4. 3nethra classic | Forus Health
5. e-Eye Kendram | Tele-Ophthalmology centres | Apollo Tele Health
6. Microsoft uses AI to diagnose cervical cancer faster in India
7. Quest Global Enhances its Lung Nodule Detection Solution Using Microsoft Azure IoT Central, Azure IoT Edge and Azure Machine Learning

To learn how Microsoft is working to empower every developer to innovate, every organization to transform industries and every individual to transform society through its differentiated Microsoft AI & Innovation vision, please visit microsoft.com/ai