AI Anywhere

How Johnson & Johnson Scales Data Science in a Hybrid and Multicloud Computing Environment

Originally aired September, 2022 as part of NVIDIA's GTC Conference.

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-prem 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.

Featured Speakers

Vikash Varma

Global Head of Cloud Program Office, Johnson & Johnson

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Vikash leads hybrid and multicloud strategy, engineering, adoption, and FinOps for Johnson & Johnson. He collaborates across Johnson & Johnson technology organization to optimize cloud and infrastructure spend, improve developer productivity, drive innovation, and enable optimal utilization of public and private cloud computing environments for diverse technology groups building AI/ML, IoT, data analytics, and health tech applications. Vikash is leading a global team focused on engineering excellence, cloud security, and infrastructure reliability through an agile product development approach. The team drives reliable infrastructure automation at scale for enterprise data centers, edge locations (labs, warehouses, manufacturing sites, and distributions), and public clouds (AWS, Azure, and GCP). His team has developed best-in class infrastructure management to meet FDA (GxP) compliance.

Rory Kelleher

Global Director, Business Dev

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Rory Kelleher is global director of business development for health care, responsible for NVIDIA’s worldwide go-to-market strategy for bringing accelerated computing and artificial intelligence into the health-care and life sciences industry. Rory joined NVIDIA in 2016 leading the enterprise business for the Northeast U.S. He assumed responsibilities for the Eastern U.S. health-care business in 2018, helping life science organizations tap into the NVIDIA ecosystem and expertise to develop, adopt, and deploy intelligent and accelerated applications. Prior to NVIDIA, Rory spent nine years in several sales and leadership positions at technology firms Cisco and EMC.

Thomas Robinson

Chief Operating Officer, Domino Data Lab

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Thomas Robinson is VP of strategic partnerships and corporate development at Domino, where he's responsible for building Domino's partner ecosystem, developing offerings providing differentiated value to partners. He previously acted as Domino's chief people officer, responsible for building an organization to unleash data science to address the world's most important challenges.

Watch On-Demand

Watch On-Demand

Value icon

Cost-Effective Scale

Learn how to achieve a 20% growth in compute and 30% growth in data with near-flat spending with a hybrid cloud and on-premises approach.

Efficiency icon

Adoption Through Governance

Increase model accuracy by 21% by focusing data science teams on modeling instead of DevOps, environment configuration, and workload placement strategy. 

Related Resources

On Demand Webinar

Learn how Johnson & Johnson CIO Jim Swanson is embedding data science across the business.

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Domino and NVIDIA Overview

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