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Featured Videos

RECENT VIDEOS

6 Results | Last Page
 

10.31.2019
43 mins
ILP Video

Interpretable AI and its Applications in Financial Services

Dimitris Bertsimas
Boeing Professor of Operations Research
Co-Director, Operations Research Center (ORC)
Faculty Director, Master of Business Analytics
MIT Sloan School of Management
This talk introduces a new generation of machine learning methods that provide state of the art performance and are very interpretable. Optimal classification (OCT) and regression (ORT) trees are introduced for prediction and prescription with and without hyperplanes. It will be shown that (a) Trees are very interpretable, (b) They can be calculated in large scale in practical times, and (c) In a large collection of real world data sets, they give comparable or better performance than random forests or boosted trees. Their prescriptive counterparts have a significant edge on interpretability and comparable or better performance than causal forests. These optimal trees with hyperplanes have at least as much modeling power as (feedforward, convolutional and recurrent) neural networks and comparable performance in a variety of real world data sets. Finally, a variety of optimal trees applications in financial services will be discussed.
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10.31.2019
47 mins
ILP Video

The Future of China?s Growth Model

Yasheng Huang
Epoch Foundation Professor of International Management
Professor, Global Economics and Management
MIT Sloan School of Management
This presentation will discuss both the achievements and challenges of China?s growth model and argue that the current model is running into substantial headwinds.
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10.31.2019
39 mins
ILP Video

Gordon Gekko and the Cult and Culture of Finance

Andrew W. Lo
Charles E and Susan T Harris Professor of Finance
Director, Laboratory for Financial Engineering
MIT Sloan School of Management
Culture is a potent force in shaping individual and group behavior, yet it has received relatively little attention in the context of financial risk management and the recent financial crisis. In this talk, Professor Lo will present a brief overview of the role of culture and ethics according to psychologists, sociologists, and economists, and then propose a specific framework for analyzing culture in the context of financial practices and institutions in which three questions are addressed: (1) What is culture?; (2) Does it matter?; and (3) Can it be changed?
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10.31.2019
38 mins
ILP Video

More From Less: How We Innovated Our Way Into a Healthier Relationship with Our Planet

Andrew McAfee
Principal Research Scientist
MIT Sloan School of Management
Want some good news about the environment? In America, we have finally learned to grow our economy while taking less from the Earth year after year: less water, timber, and metal; fewer minerals and resources; even less energy. This talk is a show and tell about this profound change. Andy McAfee will show the evidence that we've started getting more from less and tell how it happened. The unlikely heroes of the tale are the cost pressures that come from intense competition and powerful digital tools that reduce the need for resources. In short, prices and processors are now letting us tread more lightly on the Earth. The story is full of surprises and also insights. In particular, it gives us a playbook for dealing with the major challenges still ahead of us: global warming, pollution, and species loss.
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10.31.2019
45 mins
ILP Video

Startup Lightning Talks Part I & II

Elisify
Forge.AI
Nara Logics
Posh
Profit Isle
Duality
Canopy
Silverthread
Catalog
Tamr
- Elisify: Financial data on demand
- Forge.AI: Unstrutured text to data for machine learning
- Nara Logics: AI for product recommendation and decision support
- Posh: Conversation AI for customer service & helpdesk
- Profit Isle: Data analytics to accelerate profit - Duality: Homomorphic encryption of data
- Canopy: Personalization without losing data privacy
- Silverthread: Software economics
- Catalog: DNA for data storage & computation
- Tamr: Data unification powered by human-guided machine learning
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10.31.2019
43 mins
ILP Video

Top Ten "Big Data" Blunders

Michael Stonebraker
Adjunct Professor
MIT Computer Science and Artificial Intelligence Laboratory
This talk (with apologies to David Letterman) will present the top ten big data mistakes witnessed in the last decade or so. These range from ?not planning to move everything to the cloud? to ?believing that a data lake will solve all your problems.? Also included is an eleventh blunder, which effectively means ?working for a company that is not focused on avoiding these blunders.?
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