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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

As Finance Sector Workers Embrace AI, Study Warns ‘Be Careful What You Wish For’

The potential real-world impacts of hastily deployed artificial intelligence rollouts have been highlighted in new reports that underscore the need for better-quality data and greater literacy in the technology. Financial firms that don’t invest in creating greater workforce awareness of how AI tools can be used are at risk not only of failing to optimise...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Best Practice Client Onboarding

Client onboarding is central to the success of banks, yet it continues to present challenges and the benefits of getting it right are difficult to achieve. The challenges arise from siloed systems, manual processes and poor entity data quality. The potential benefits of successful implementation include excellent client experience, improved client acquisition and loyalty, new business opportunities, reductions in costs, competitive advantage, and confidence in compliance.