E264 Aarti Bagul, Machine Learning Engineer at Snorkel AI
The Alldus Podcast - AI in Action
English - October 01, 2021 11:00 - 18 minutes - 15.6 MB - ★★★★★ - 8 ratingsTechnology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Today's guest is Aarti Bagul, Machine Learning Engineer at Snorkel AI in San Francisco, CA. Founded in 2019, Snorkel AI is a technology startup that empowers data scientists and developers to turn data into accurate and adaptable AI applications fast with Snorkel Flow, a first-of-its-kind data-centric development platform, powered by programmatic labeling. Snorkel Flow reduces the time, cost and friction of labeling training data so data science and development teams can more easily build and scale AI models to deploy more meaningful applications.
Incorporating human judgment into the AI process through subject-matter experts is made more efficient and scalable leading to more ethical, responsible outcomes. Two out of the top three US banks, several government agencies and Fortune 500 companies use Snorkel Flow. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations.
In the episode, Aarti will discuss:
The interesting work they do at Snorkel AI,
Problems they are solving in unlocking training data,
Her role and interesting projects the team are working on,
Transitioning from a research focused role into the startup world,
Why Snorkel AI is a great place to work