It’s been one year since we launched IBM Cloud Pak for Data (previously IBM Cloud Private for Data), IBM's data and AI platform for today's modern enterprise. Since then, this platform has been embraced by hundreds of customers, and Forrester ranked it No. 1 in their “Enterprise Insights Platform”
IBM Cloud Pak for Data System is an integrated end-to-end platform that is cloud native by design, architected as microservices and containerized workloads. It offers instant pre-assembled provisioning and has capabilities to collect, organize and analyze data. It takes the IBM Cloud Pak for Data
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment. That means an overwhelming majority of businesses use a multicloud approach to enable greater flexibility and application modernization.
Some companies have found that while some clouds are a
IBM anticipated barriers to scaling enterprise AI. We developed a platform to help clients operationalize AI faster while infusing trust and transparency with IBM Cloud Private for Data and the add-on Watson OpenScale.
IBM announced Informix V14.10 at Think 2019, revealing a host of new capabilities to clients and partners in attendance. Now, after beta testing with more than 25 customers and partners, it is available to the public.
Instead of choosing between multiple download options, anyone can now download and use a single, full-featured version of Db2 for as long as they want, without paying fees, contacting an IBM sales person, providing a credit card, getting on a mailing list or enduring adware.
Matthias Funke and Thomas Chu lead the team shaping IBM's strategy for hybrid data management. They join host Al Martin for a deep dive into trends around data management across cloud environments — from private, to public, to multicloud.
The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.