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Katherine Stepp on AI

From AI’s Role in Revolutionizing Technology with Perplexity’s Dmitry Shevelenko & FactSet’s Kate Stepp · · RiskReversalMedia

“FactSet history has shown how that efficiency of bringing together multiple data sets and providing that easy access in a single platform has been really successful for us — and then with generative AI coming along that's really revolutionized that efficiency factor.”

Policy Impact AIdata integrationproductivitygenerative AI

On , Katherine Stepp, Executive VP & CTO at Factset Research Systems Inc, spoke about AI during AI’s Role in Revolutionizing Technology with Perplexity’s Dmitry Shevelenko & FactSet’s Kate Stepp on RiskReversalMedia.

AI’s Role in Revolutionizing Technology with Perplexity’s Dmitry Shevelenko & FactSet’s Kate Stepp
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AI’s Role in Revolutionizing Technology with Perplexity’s Dmitry Shevelenko & FactSet’s Kate Stepp
RiskReversalMedia
Watch on YouTube
Join us for an insightful thought leadership webinar that delves deep into the transformative power of Artificial Intelligence (AI) in the financial industry. As AI technologies rapidly evolve, they are reshaping the way financial institutions operate, enhancing efficiency, reducing risks, and creating new opportunities for growth and innovation. In this comprehensive webinar, industry experts and AI pioneers will explore the broad impact of AI on financial services. We will unpack how AI-driven solutions are optimizing technology infrastructures and redefining traditional workflows to meet the demands of a fast-paced, data-driven world.
Katherine Stepp

About Katherine Stepp

Executive VP & CTO · Factset Research Systems Inc

In a December 2024 webinar, Stepp discussed FactSet's approach to integrating generative AI into its financial data platform. She said that the company's history of integrating and collecting data provided a foundation for applying machine learning, and that generative AI has "revolutionized that efficiency factor." Stepp described how FactSet uses AI to understand user queries and then applies its existing, trusted query mechanisms to retrieve structured content, rather than relying solely on a pre-trained model for answers. She stated that this approach provides transparency and auditability, allowing users to trace information back to individual documents. Stepp also addressed user concerns about privacy and security, stating that FactSet does not train its internal systems on prompts from enterprise users. She noted that the company builds AI features in a compartmentalized way to allow for flexibility across different use cases. Stepp highlighted that AI-driven tools, such as a transcript assistant placed alongside familiar sources, have helped users adopt the technology in a "safer" manner, and that dynamic querying allows users to automate workflows like portfolio commentary, reducing tasks that previously took hours to minutes.

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