Sarah Hoffman

About

Sarah Hoffman leads AI and Machine Learning (ML) research for FCAT. In this role, she helps the firm understand trends in these technologies and their potential impact on Fidelity. Sarah has given numerous internal and external talks to both technical and non-technical audiences explaining ML and where it’s headed.

Sarah worked previously at FactSet, where she headed their Machine Learning and Language Technology Team. She also served as an Information Technology Analyst at Lehman Brothers. Sarah holds an MS from Columbia University in computer science with a focus on natural language processing. She also holds a BBA from Baruch College in computer information systems.

https://www.linkedin.com/in/sarahfhoffman/

1068925.8.0

LATEST WORK

ARTIFICIAL INTELLIGENCE

Why all the Fuss about ChatGPT?

BY: Sarah Hoffman | February 14, 2023

OpenAI’s new text generator ChatGPT attracted over 1 million users just a few days after launch. The app’s performance made headlines with some even comparing the significance of the release to the debut of the iPhone. So, what's the big deal?

ARTIFICIAL INTELLIGENCE

Article

02/14/2023

Artificial Intelligence

2022: The Year of the AI Image Generator

BY: Sarah Hoffman | November 22, 2022

New AI image-generation tools are emerging that allow anyone, regardless of technical proficiency, to become an artist, a graphic designer, or an illustrator. And the quality of the output is surprisingly good and will no doubt improve quickly.

Artificial Intelligence

Sociocultural

Article

11/22/2022

ARTIFICAL INTELLIGENCE

Build An Online Company: No Code Required!

BY: Sarah Hoffman | August 23, 2022

For non-technical folks, starting an online business used to mean finding (and hiring) a developer or chief technical officer. No more. Thanks to no-code development tools, anybody who can access a keyboard can build a business. Justin Welsh built a one-man online business that generated over $1M in revenue in 810 days without writing one line of code.^[i] Hello Prenup, which helps couples write low-cost prenuptial agreements, was also built with no-code software.^[ii] These successes aren’t accidents.

ARTIFICAL INTELLIGENCE

Article

08/23/2022

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