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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Valuations – Toward On-Demand Evaluated Pricing

Risk and regulatory imperatives are demanding access to the latest portfolio information, placing new pressures on the pricing and valuation function. And the front office increasingly wants up-to-date valuations of hard-to-price securities. These developments are driving a push toward on-demand evaluated pricing capabilities, with pricing teams seeking to provide access to valuations at higher frequency...