Reduction in idle
Reduction in effort
to recreate lost work
Reduction in IT support
for data science
ROI as measured by
There’s tremendous innovation happening in data science, and as an IT leader you want to be the strategic partner enabling data science teams to do their best work. But, this is a daunting goal when data science has grown organically, with different teams having different sets of tools, infrastructure, and processes to build models that may not align with critical IT and security standards. Our DataIQ survey showed that one out of three organizations (33.7%) sees ‘conflict between data science and IT’ as a top challenge to data and analytics success. How can you partner better with data science leaders?
Domino centralizes data science silos into a single platform that delivers self-service access to tools and infrastructure that are secure and compliant.
$4.7 million in Annual IT Savings
Over 90% of DevOps engineers previously assigned to supporting data science have taken on new or different business-critical projects because data scientists can independently access the tools and infrastructure they need.Read their Story
Applying Leading-Edge Data Science to Push the Bounds of Rocket Science
Lockheed Martin attributes $20 million-plus in value to its scalable approach to managing artificial intelligence.Read their Story
Estimate Your ROI from Domino
Answer 6 questions and get a high-level estimate of the value Domino can deliver to your organization based on the results of the Forrester Total Economic Impact (TEI) of the Domino Enterprise MLOps platform.
Recommended Resources for IT Leaders
Making IT the Hero of Data Science
Supporting the data science team so they can maximize their output, while also minimizing cost and risk to the organization, is a delicate balancing act that's getting more difficult each year.
Learn how Domino makes IT professionals the heroes of data science, delivering models into production at high velocity.
Operationalize AI at Scale with MLOps
In this eBook by David Menninger from Ventana Research, sponsored by Domino Data Lab and NVIDIA with support from AMD's EPYC Processor Business Division, you'll learn how MLOps can operationalize AI at scale by closing the divide between data scientists and IT.
How Johnson & Johnson is embedding data science across their business
Jim Swanson, CIO at Johnson & Johnson, shares his first-hand experiences embedding data science throughout the business, taking into consideration people, process, and technology.