In my last blog, I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise, fully harness data using the latest technologies, and sustain a platform-centric business model that supports people, process and technology optimized around
Financial services organizations face considerable challenges today. From regulatory changes to globalization to shifting customer expectations, the urgent need to re-engineer outdated systems to better manage vast amount of data can apply additional pressure. Organizations must deal with the
This week's guest is Jorge Castanon, a senior data scientist for Watson Studio at IBM. Host Al Martin and Jorge discuss some typical data problems currently plaguing the industry -- and how Watson Studio makes dealing with those problems that much easier. Get ready for an in-depth, technical
Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them.
This week, host Al Martin welcomes Rakesh Ranjan, the director of emerging technologies at IBM Data and AI. He also works on next gen-solutions at IBM and is involved with academia and research. Join us for a look at what's next in data and AI.
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