In an age of artificial intelligence, (AI) many allocators are realizing that humans alone, or software alone, can’t match or exceed the gains that occur when software and human expertise combine. Layer that into the ability of generative AI to do something better, faster, and more cheaply, and investors can begin to see a game-changing impact on business operations.
Join Michael Oliver Weinberg, host of the Improving Alpha: Innovation in Investing ESG, and Technology podcast and Olivier Toubia, Glaubinger Professor of Business Marketing Division, Columbia Business School, for a deep dive into how modern advancements, particularly generative AI, are reshaping the landscape of allocation strategies and more. Olivier shares his journey from early beginnings in math and engineering to the evolution of data science and how new analytical techniques (machine learning, natural language processing, and large language models), can be leveraged to better understand humans and optimize business operations.
Further highlights that Olivier shares:
- the +20 years of thought leadership and insight around innovation that went into his Columbia Business School course, Foundations of Innovation.
- what are some of the granular applications for artificial intelligence as it relates to Wall Street and other allocators.
- the training of artificial intelligence models and the output guardrails that get included in human stereotypes.
- can we remove human biases from training data when humans are tagging or labeling data that may be aligned to political affiliations, education, personal experiences, or more?
- emerging research of brainstorming with generative artificial intelligence and what is happening with screening or rating of the ideas that are pulled through brainstorming.
- And more
Resources:
Connect with Olivier Toubia:
Olivier Toubia is the Glaubinger Professor of Business at Columbia Business School. His research focuses on various aspects of innovation, including preference measurement and idea generation. Specifically, he combines methods from social sciences and data science, to study human processes such as motivation, choice, and creativity. He currently serves as the Editor-in-Chief at the journal Marketing Science. He teaches a course on Foundations of Innovation and the core marketing course. He received his MS in Operations Research and PhD in Marketing from MIT.
Connect with Michael Oliver Weinberg:
The information covered and posted represents the views and opinions of the guest and does not necessarily represent the views or opinions of Vidrio Financial, and/or our host, Michael Oliver Weinberg. The Content has been made available for informational and educational purposes only. The Content is not intended to be a substitute for professional investing advice. Always seek the advice of your financial advisor or other qualified financial service provider with any questions you may have regarding your investment planning.
The release date may not correspond to the recording date.
Source
