Database management systems may excel at managing highly repetitive data, but they’re less than well suited for storing and understanding the context of textual data. Storing textual information has long been a big challenge. Among several approaches to this challenge, textual disambiguation works
Thoughtful analytics ought to offer measurable insight into how—qualitatively and/or quantitatively—more data correlates with enhanced economic value. Call it the metalytics—analytics about analytics—of value creation and discovery. Data-driven organizations need to take metalytics metrics
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.
Data is growing and moving faster than healthcare organizations can consume it, yet getting insights from that data into the hands of practitioners can quite literally make the difference between life and death.
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and
All the data in the world isn't helpful unless you put it to use. Employees spend countless hours just pulling data together and making sense of it. We set out to close the data divide between those that are able to put data to work, and those that aren’t. Our cloud-born data services provide data