Name: How is tooling for Data Scientists evolving in the era of AI-assist development?
Start: 2025-11-19T14:50:00-05:00
End: 2025-11-19T15:50:00-05:00

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3317557643700/WN_ABJLal7vTMG4E-gguD-H1Q

Data science requires a different type of copilot than software development. But current tools are not fit for purpose. How can you use AI-assisted development to expedite your work, produce better models and more production-ready pipelines?

Tools and standards: open-source libraries like LangTest and HELM, new stress-test and red teaming datasets, and emerging guidance from NIST, CHAI, and ISO.

While the examples draw heavily from healthcare, the lessons are broadly applicable to anyone building and deploying generative or agentic AI systems in highly regulated industries where safety, fairness, and compliance are paramount.

Agenda:
(PDT) 11:50 am - 11:55 am Arrival and socializing and Opening
(PDT) 11:55 am - 1:00 pm "Copilots and Data Science: How is tooling for Data Scientists evolving in the era of AI-assisted development?"
(PDT) 1:00 pm - 1:10 pm Q&A

About Raluca Crisan

I’m a data scientist and co-founder of Etiq. Prior to Etiq I’ve been an ML/data science consultant and I ran and delivered projects for more than 20+ corporates, from mid-sized retailers to ecommerce giants to travel, telco and financial sectors.
At Etiq we are building the data science copilot - a tool to help data scientists document, test and bring their pipelines to production faster and easier.
Etiq is a Techstars portfolio company and has been awarded the prestigious Innovate UK Smart Grant and the Innovate UK Trustworthy AI grant.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3317557643700/WN_ABJLal7vTMG4E-gguD-H1Q

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Magnimind Academy

NYC Data Science, ML, AI Platform

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How is tooling for Data Scientists evolving in the era of AI-assist development?

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How is tooling for Data Scientists evolving in the era of AI-assist development?

NYC Data Science, ML, AI Platform

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