AI Anywhere: How Johnson & Johnson Scales Data Science in a Hybrid and Multi-Cloud Computing Environment (Presented by Domino Data Lab)
, Director, Global Head of Business Development, Healthcare & Life Sciences, NVIDIA
, Chief Operating Officer, Domino Data Lab
, Global Head of Cloud Program Office, Johnson & Johnson
Despite the promise of the cloud, concerns over cost, security, and regulatory compliance compel a growing number of enterprises to adopt hybrid AI infrastructure strategies straddling on-premises data centers and the cloud. Johnson & Johnson (JnJ) is at the forefront of MLOps at enterprise scale, embedding over 1,000 data scientists throughout its business functions.
In this panel, Vikash Varma, Johnson & Johnson, joins Rory Kelleher, NVIDIA, and Thomas Robinson, Domino Data Lab, in a forward-looking discussion on future-proofing AI infrastructure investments. Learn how J&J's enterprise IT strategy accounts for: 1) Data spanning multiple clouds and on-prem sources; 2) Data gravity, security, and compliance/regulatory implications for a hybrid AI infrastructure; and 3) Orchestrating data science workloads across compute clusters in different geographic regions — on prem, and across multiple clouds.