Sep 23–26, 2019

Harish Doddi
Cofounder and Chief Executive Officer, Datatron

Harish Doddi is cofunder and CEO of Datatron. Previously, he held roles at Oracle; Twitter, where he worked on open source technologies, including Apache Cassandra and Apache Hadoop, and built Blobstore, Twitter’s photo storage platform; Snap, where he worked on the backend for Snapchat Stories; and Lyft, where he worked on the surge pricing model. Harish holds a master’s degree in computer science from Stanford, where he focused on systems and databases, and an undergraduate degree in computer science from the International Institute of Information Technology in Hyderabad.

Sessions

5:25pm–6:05pm Wednesday, September 25, 2019

Location: 1E 06

Challenges faced in machine learning infrastructure in traditional large enterprises

Automation in data science and data, Data Engineering and Architecture, Data Science, Machine Learning, & AI

Secondary topics: Data, Analytics, and AI Architecture, Media and Advertising, Model Development, Governance, Operations

venkata gunnu (Comcast), Harish Doddi (Datatron)

Machine learning infrastructure is key to the success of AI at scale in enterprises, with many challenges when you want to bring machine learning models to a production environment, given the legacy of the enterprise environment. Venkata Gunnu and Harish Doddi explore some key insights, what worked, what didn't work, and best practices that helped the data engineering and data science teams. Read more.