Sep 23–26, 2019

venkata gunnu
Senior Director, Data Science, Comcast

Venkata Gunnu is a senior director of data science at Comcast, where he manages data science and data engineering teams and architects data science projects that process and analyze billions of messages a day and petabytes of data. Venkata is a leader in data science democratization with 15+ years of data science modeling, design, architect, consultant, entrepreneur, and development experience, and 10+ years of that in data science modeling, big data and the cloud. He earned a master’s in information systems management in project planning and management from Central Queensland University, Australia. He has experience with product evangelization and speaking at conferences, user groups.

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.