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Jayodita Sanghvi and Grace Tang: Big data meets big business

The last decade has seen an explosion in the collection and processing of data. Now, the era of big data is making its way into the business world, with important implications.

Illustration of two hands holding phones

How can companies better harness big data to improve their services and products? | Illustration by Kevin Craft

Jayodita Sanghvi is director of data science at Grand Rounds, a startup that connects members to high-quality health care. Grace Tang is a data scientist at LinkedIn. Both are alumnae of Stanford bioengineering.

While the connection between big data and bioengineering may not be readily apparent, Sanghvi and Tang say that the connection couldn’t be more clear or timely than right now when big data is now firmly entrenched in big business.

From applications that help diagnose and guide people to relevant care to programs that suss out bad actors on social media, the challenges of harnessing big data and the consequences of incorrect or improper use are raising important questions for those charged with making big data work. The challenges range from finding correct answers in messy or missing data to the deep ethical and privacy dilemmas inherent in the breadth and quantity of information available today.

Join host Russ Altman and big data experts Jayodita Sanghvi and Grace Tang for a deeper look into the challenges arising when big data meets big business.

You can listen to the Future of Everything on iTunes, Google Podcasts, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.