IBM Expands Cloud Pak for Data with New DataOps Enhancements to Help Clients Get their Data Ready for AI

IBM (NYSE: IBM) today announced enhancements to Cloud Pak for Data that leverage the DataOps methodology to help clients get their data'business-ready' for AI. As corporate data continues to grow in both volume and complexity – often of mixed structures and types and from sources strewn across the enterprise – the time required to collect and organize these vast datasets into usable data for AI can stress resources and actually stall AI projects. Improving data preparation, management and automation are the pillars of the burgeoning and collaborative DataOps (data operations) principle, which outlines methods for automating and streamlining data flows across an enterprise. DataOps is also at the core of the "Organize" rung of IBM's AI Ladder strategy, from which clients can transform datasets into data that's tuned and prepared for AI. "The path to consistent success with AI projects begins with business-ready data and the methodology for delivering that is DataOps," said Rob Thomas, General Manager, IBM Data and AI.