In part one of the Capitalogix data science story, I focused on their strategic need for a data platform that supports speed, data variety and custom-built algorithms to find advantages for their business. A key success driver: they worked to make life better for the people on the front lines of
With the automated AI and ML advancements, you may find yourself wondering--what are the overall impacts to business? How will all of this technological progress impact the ways we run our business and perform our jobs?
Today’s launch of Db2 11.5, the world’s premier AI database, is great news for any company seeking to build an architecture that supports their AI implementation. Governance, integration, and business intelligence are all important rungs on the ladder for a business to reach AI. But the first step
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
There is no AI without data. That’s why we’ve put together a prescriptive set of five steps we call the ladder to AI to help our enterprise clients get their data ready. The journey of the AI ladder starts with collecting the data you need to build models, followed by organizing your data so you