The accelerating velocity, volume and variety of alternative data is forcing traditional asset managers to adopt quantitative methodologies.
A comprehensive 280 page report titled “Big Data and AI Strategies: Machine Learning and Alternative Data Approach to Investing” authored by Marko Kolanovic and Rajesh T. Krishnamachari of JP Morgan’s Quantitative and Derivative Strategy team is designed to inform asset managers in the different types of alternative data and the machine learning techniques used to extract actionable insights from them.
This report is also relevant for upstream research providers in asset management.
You can read "Machine Learning and Alternative Data Approach to Investing" report here