AI is having its breakthrough moment and the FCAT AI team is at the forefront of harnessing its potential. The team seeks safe and effective ways to build and leverage innovations to stay ahead of the evolving needs of Fidelity customers and clients.

About the Incubator

The FCAT AI team investigates and builds new applications based on AI architectures. They research user needs and deliver breakthrough capabilities drawing on FCAT’s diverse portfolio of technologies. Their value to Fidelity includes thought leadership, experimentation with fast-changing technologies and delivery of solutions that lead to outsized positive business outcomes.

Artificial Intelligence

Building Katalina

An experimental, conversational avatar

Projects & Observations


Artificial Intelligence
By: Sarah Hoffman | September 8, 2023
While ChatGPT can be a useful learning tool on its own, plugins and new tools that incorporate generative AI can further enhance the learning experience. These improvements will likely have implications that go far beyond the classroom.
Artificial Intelligence
By: Supritam Sen et al. | August 23, 2023
In this paper, we discuss how we designed and created ‘Katalina’, FCAT’s brand ambassador. Designing a digital person required several design considerations and best practices when determining appearance, voice and language, personality and interactivity, and context and function. Technical architecture included considerations like intent routing, usage of semantic search to understand the user’s intent and prompting to guide the responses of the avatar.
Aritificial Intelligence
By: Michael Musser and Maria Mancheno | August 10, 2023
Digital humans or digital people are emerging as a scalable touchpoint for customers across various markets. After creating FCAT’s own digital brand ambassador, the FCAT AIX team is sharing best practices for designing digital humans and their behaviors.


AI Journey (so far)

FCAT team members are available for speaking opportunities and interviews.

Opportunities are considered on a case-by-case basis.

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