IBM plans to bring some data science to its Db2 database. Big Blue's Db2 11.5 upgrade adds drivers to artificial intelligence languages as well as natural language queries and visualizations. For IBM, the move to meld the database with data science workflows makes sense. IBM's Db2 trails rival databases from Oracle and Microsoft as well as open source alternatives like MySQL and PostgreSQL, according to Statistica. G2 Crowd's database rankings also put Db2 lower in the standings, but competitive.

Be sure to share on LinkedIn. As organizations get better at managing and using a wider variety of data, the more they will adopt and make use of AI. IBM General Manager for Data and AI Rob Thomas has said organizations can't have effective AI without sound IA (Information Architecture). And one of the pillars of any IA is data management. In this new era of data, databases are no longer considered the traditional system of record or datastore.

Machine Learning Applications The recent announcement of IBM Machine Learning on z/OS is significant for a couple of reasons. Beyond that, it's important for anyone who supports software installation, database administration and analytics on z/OS. Studies have shown that 70 percent of the world's data being accessed for analytics originates on the mainframe. While one of the traditional reasons for moving the data off z/OS has been to avoid impacting operational online transaction processing (OLTP) performance with resource intensive online analytic processing (OLAP), over the past few years DB2 for z/OS has evolved into a hybrid transactional/analytical processing (HTAP) database. DB2 for z/OS--combined with IBM DB2 Analytics Accelerator--form a self-managing database management system that maximizes the efficiency of each workload it runs.

Ravi is a Senior Managing Consultant at IBM (Analytics Platform, North American Lab Services). Ravi is a Distinguished IT Specialist (Open Group certified) with more than 23 years of I/T experience. He has a Masters degree in Business Administration (MBA) from University of Nebraska, Lincoln. He had contributed to 7 other redbooks in the areas of Database, Analytics Accelerator and Information Management tools. IBM SPSS Modeler is a powerful analytic tool that supports all phases of data analytics process, including data preparation, model building, deployment, and model maintenance.