Bloomberg announced the launch of AI Portfolio Commentary, an AI-powered feature within PORT Enterprise, Bloomberg's premium portfolio and risk analytics offering. The new feature uses AI to generate detailed explanations of return drivers, streamlining workflows and simplifying reporting across fixed income and equity portfolios.

With built-in AI capabilities, PORT Enterprise now delivers contextualized portfolio summaries by combining a portfolio's attribution data with media coverage from sources like Bloomberg News. This solution enables clients to quickly surface a summary of key performance drivers and relevant news, then shift their focus to more strategic, high-impact analysis.

PORT Enterprise is used by investment teams at some of the largest asset managers and asset owners across the world as a primary portfolio analysis solution, utilizing its award-winning performance attribution and risk models. This release brings a top-down, granular analysis of allocation and selection decisions with a wealth of Bloomberg company-level data and news, and allows users to effortlessly generate performance attribution commentary with reliable and actionable insights.

"The introduction of AI Portfolio Commentary within PORT Enterprise continues Bloomberg's track-record for responsibly applying AI in financial solutions, as well as for bringing new solutions to market which help make our clients' workflows more efficient," said Mujtaba Murji, Head of Buy-Side Risk and Attribution at Bloomberg. "By pairing PORT Enterprise's trusted performance attribution model with AI, Bloomberg is helping to transform how investment teams generate and share portfolio insights with an even more intuitive user experience."

This launch builds on Bloomberg's plans to enable clients to harness AI-enhanced tools to surface and distill valuable insights via Research Management Solutions (RMS Enterprise) and the Bloomberg Terminal. PORT Enterprise seamlessly integrates with RMS Enterprise to enhance clients' alpha-generating portfolio and research production workflows.