Delivering data and AI initiatives quickly and cost efficiently requires intelligent workflows and integration that enable all tools to work together seamlessly across multicloud environments through every step of the analytics lifecycle.
IBM is supporting this holistic approach by modernizing many of the data and AI solutions businesses use every day, for increased agility and interoperability with IBM Cloud Pak® for Data – a Kubernetes-based container platform run on Red Hat® OpenShift®. By implementing containers, customers can benefit from efficiencies worth USD 12.5 million to USD 14.4 million.
Discover how a container-based platform strategy for information architecture drives cost and time saving, as well as efficiency and seamless integration of data management, DataOps, and data science initiatives across multicloud deployments.