The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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From Financial Markets to ChatGPT: A Conversation With Andrew Lo
Manage episode 365158719 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review 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://ppacc.player.fm/legal.
What can data tell us when it comes to how our money is invested? Are there data science tools that can help us manage the ups and downs of the financial markets? How has machine learning impacted forecasting? Can we rely on AI for investment advice? On today’s episode we explore these questions and more during a deep dive discussion on financial markets with our expert guest, Professor Andrew Lo.
Our Guest:
Andrew W. Lo is the Charles and Susan Harris Professor of Finance at the MIT Sloan School of Management, Director of the MIT Laboratory for Financial Engineering, and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. Professor Lo was recognized for his work on financial markets by being named one of TIMEMagazine’s 100 most influential people in the world.
53 episodes
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Manage episode 365158719 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review 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://ppacc.player.fm/legal.
What can data tell us when it comes to how our money is invested? Are there data science tools that can help us manage the ups and downs of the financial markets? How has machine learning impacted forecasting? Can we rely on AI for investment advice? On today’s episode we explore these questions and more during a deep dive discussion on financial markets with our expert guest, Professor Andrew Lo.
Our Guest:
Andrew W. Lo is the Charles and Susan Harris Professor of Finance at the MIT Sloan School of Management, Director of the MIT Laboratory for Financial Engineering, and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. Professor Lo was recognized for his work on financial markets by being named one of TIMEMagazine’s 100 most influential people in the world.
53 episodes
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Similar to Harvard Data Science Review Podcast
The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
…
continue reading
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continue reading
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…
continue reading
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…
continue reading
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…
continue reading
The UK Column is an independent news organisation analysing the information war. Operating without financial backing or external investment, we remain free from advertisers, foundations, and political parties, relying solely on support from our audience through memberships and donations.
…
continue reading
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America is divided, and it always has been. We're going back to the moment when that split turned into war. This is Uncivil: Gimlet Media's new history podcast, hosted by journalists Jack Hitt and Chenjerai Kumanyika. We ransack the official version of the Civil War, and take on the history you grew up with. We bring you untold stories about covert operations, corruption, resistance, mutiny, counterfeiting, antebellum drones, and so much more. And we connect these forgotten struggles to the ...
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Risky Business is a weekly information security podcast featuring news and in-depth interviews with industry luminaries. Launched in February 2007, Risky Business is a must-listen digest for information security pros. With a running time of approximately 50-60 minutes, Risky Business is pacy; a security podcast without the waffle.
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