Differentiating investment research with AI-Powered tools | Bloomberg Professional Services
Webinar

Differentiating Investment Research with Ai-Powered Tools

AI capabilities are increasingly a key differentiator for firms. Essential for analyzing data, recognizing patterns across unstructured datasets such as news, company documents and research. 

In this webinar, we will outline how the Bloomberg Terminal meets the most demanding news and market intelligence requirements of today’s modern front office analysts, portfolio managers, and traders. Learn how our AI-powered search and discovery capabilities efficiently classify different types of documents (news articles, reports, transcripts, fillings and more) so you never miss the market moving information that matter most to you.

During this session you’ll learn:

  • How AI can help you make sense of a deluge of unstructured text  as well as very dense financial documents
  • How to use our AI-powered news tools to identify what is important in the news and increase your productivity
  • How to search across a wide breadth of company documents (200M ) with precision using AI and natural language processing
  • How to access and use automated summaries from earning calls so you don’t miss the important insights

Speakers

Kenneth Kohn

AI News Discovery & Automation Product Manager

Bloomberg

Ken Kohn has more than three decades of newsroom experience and eight years in product management. Since joining Bloomberg in 1990, Ken worked as a Beat Reporter, New York Bureau Chief, Europe Managing Editor, Head of Global Broadcast, Executive Editor for Global Markets Coverage and the Editor of TOP . As a Product Manager, he launched Bloomberg's automated news offerings before his current responsibilities for Bloomberg's Morning Reports project.

Louis Bellamacina

Product Manager for Natural Language Search

Bloomberg

Responsibilities include building semantic search and AI summaries in DS . This involves working with Bloomberg domain experts to fine tune NLP and LLM models and modernise Bloomberg’s search infrastructure. This will allow us to deliver powerful question answering capabilities and connect to Bloomberg’s knowledge graphs to bring further search insights. I work with several engineering, UX and human in the loop teams.

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