Creating Optimized Thematic Portfolios with Bloomberg Enterprise Data

Discover how portfolio managers can leverage market data and advanced analytics to develop custom thematic investing tools on the Databricks Platform using Bloomberg data in this 39-minute conference talk. Explore the advantages of cloud-based data access and structuring, followed by a detailed tutorial on constructing a thematic investing portfolio using Machine Learning and Visualizations powered by Databricks. Learn about the strategic collaboration between Bloomberg and Databricks, enabling seamless access to Bloomberg's extensive data offerings through Data License and Data License Plus (DL+). Understand how these solutions facilitate data integration, accelerate analysis, generate insights, and provide unified governance for structured and unstructured data, as well as AI and ML capabilities across various cloud platforms. Presented by Katherine Laue, Cloud Integration Product Manager at Bloomberg L.P., and Michael Beal, Head of Data Science - North America at Bloomberg.

Creating Optimized Thematic Portfolios with Bloomberg Enterprise Data