About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet Introduces Interactive GenAI Solution Transcript Assistant

Subscribe to our newsletter

FactSet has released its first interactive GenAI solution available in the FactSet Workstation. Called Transcript Assistant, the solution is a conversational chatbot designed to accelerate in-depth research and analysis of earnings call transcripts, and help users search, analyse, and extract valuable, actionable insights from all transcripts in FactSet with a view to improving the investment research process.

The solution allows users to submit custom queries regarding a transcript in a two-way interface that goes beyond earnings summarisations to ask questions such as, ‘How is the company discussing the impact of a US recession?’. From there, large language models identify, synthesise and surface relevant transcript information to help users maximise efficiency and unlock insights that inform business decisions. Transcripts and extracted data can be exported to other FactSet applications or external tools. Transcript Assistant integrates the expertise of the company’s StreetAccount news and insight business to create quality and accuracy controls for the chatbot.

Emily Geer, senior director, corporates at FactSet, says: “Transcript Assistant is the go-to efficiency tool to not only navigate, but also excel during earnings season. We are powering our clients’ research workflows with innovative AI solutions and industry-leading earnings content to improve decision-making and drive productivity.”

Transcript Assistant is part of FactSet’s ‘mile-deep workflow automation pillar’ outlined in its AI Blueprint, a product roadmap that establishes how the power of AI will enhance FactSet’s solutions to deliver personalisation, discoverability, and productivity to clients.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise and making it available and actionable to everyone who needs it is extremely difficult....

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook – Third Edition

Need to know all the essentials about the regulations impacting data management? Welcome to the third edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today...