February 2, 2020

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The use of recommender systems in the chief investment office: A case study

The use of recommender systems in the chief investment office: A case study

Gaurav Chakravorty explains how recommender systems can be utilized for investment management and details how AI and deep learning are used in trading today.
Talk Title The use of recommender systems in the chief investment office: A case study
Speakers Gaurav Chakravorty (qplum)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location London, United Kingdom
Date October 9-11, 2018
URL Talk Page
Slides Talk Slides
Video

Gaurav Chakravorty explains how recommender systems can be utilized for investment management and details how AI and deep learning are used in trading today. Gaurav begins by diving into chief investment offices, which are growing their in-house machine learning teams to fine-tune their allocation, using both traditional and alternative strategies. Gaurav shares a novel approach to deciding asset and strategy allocations, inspired by research in recommender systems. Gaurav then explores the application of deep learning in trading, discussing useful techniques for AI-driven asset managers as well as the blind alleys they’ve gone down. With these cases as context, Gaurav addresses some of the technical and operational aspects of AI, such as key bottlenecks in training and inference, the software frameworks and hardware platforms that are most useful for those workloads, deployments, the scaling challenges, and the key drivers of the cost.

management framework ai deep learning machine learning hardware
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