It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
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Google DeepMind's Manish Gupta on Opportunities for AI Startups in India | Decoding AI Episode 5
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Manage episode 461386730 series 3242177
Content provided by SEED TO SCALE Podcast Series and Anand Daniel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SEED TO SCALE Podcast Series and Anand Daniel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Google DeepMind stands at the cutting edge of AI innovation, solving some of the most intricate scientific and engineering challenges. From protein structure prediction through AlphaFold to enhancing energy efficiency in data centers and advancing robotics for real-world applications, DeepMind is shaping the future of technology. But how can AI startups in India leverage DeepMind's insights? In this episode of Decoding AI, Prayank Swaroop, Partner at Accel, speaks to Dr. Manish Gupta, Senior Director at Google DeepMind, APAC to find out. Dr. Manish shares insights into the current landscape of language models, spotlighting groundbreaking work like the IndicGenBench project. The conversation dives into how Google DeepMind focuses on foundational technologies while empowering startups to create transformative solutions in sectors like healthcare and education. Dr. Manish also offers valuable guidance for startups, elaborating on Google's Trusted Tester Program and its collaborative approach to IP sharing. Dr. Manish also reflects on India’s distinct position within the global AI ecosystem, emphasizing the country's unique opportunities and challenges, and the potential of AI in scientific breakthroughs, including its role in advancing fusion energy.
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97 episodes
MP3•Episode home
Manage episode 461386730 series 3242177
Content provided by SEED TO SCALE Podcast Series and Anand Daniel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SEED TO SCALE Podcast Series and Anand Daniel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Google DeepMind stands at the cutting edge of AI innovation, solving some of the most intricate scientific and engineering challenges. From protein structure prediction through AlphaFold to enhancing energy efficiency in data centers and advancing robotics for real-world applications, DeepMind is shaping the future of technology. But how can AI startups in India leverage DeepMind's insights? In this episode of Decoding AI, Prayank Swaroop, Partner at Accel, speaks to Dr. Manish Gupta, Senior Director at Google DeepMind, APAC to find out. Dr. Manish shares insights into the current landscape of language models, spotlighting groundbreaking work like the IndicGenBench project. The conversation dives into how Google DeepMind focuses on foundational technologies while empowering startups to create transformative solutions in sectors like healthcare and education. Dr. Manish also offers valuable guidance for startups, elaborating on Google's Trusted Tester Program and its collaborative approach to IP sharing. Dr. Manish also reflects on India’s distinct position within the global AI ecosystem, emphasizing the country's unique opportunities and challenges, and the potential of AI in scientific breakthroughs, including its role in advancing fusion energy.
…
continue reading
97 episodes
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