Blogs

As some of the earliest adopters of business computing, many financial services companies now face a host of issues with their decades-old legacy mainframe and distributed database environments. This makes it difficult to remain compliant with regulations and react to more nimble new entrants to the market.

Imagine an enterprise database with the self-driving capability of a Tesla and the self-healing, self-securing powers of the Terminator. Well, it’s here—and it’s called Oracle Autonomous Database.

You know what they say about mainframes: they’re reliable. And that’s true—you can rely on them to get ever-more-costly, to be difficult and expensive to staff, and perhaps most frustratingly, to block your every attempt to upgrade your business technology.

For decades Assembler code's ability to optimize hardware performance made it crucial to mission-critical applications running core business logic on mainframes. But now this low-level programming language has become a costly roadblock.

Mainframe modernization is critical in today's digital landscape. But is there a right way and a wrong way to approach digital transformation?

It’s not a surprise to most of us that the tribal knowledge of mainframe applications is being lost. Companies with mainframe-based applications continue to face the existential challenge of an aging support workforce.

While most acknowledge that we must modernize mainframe environments, the fact is that the majority of mainframe modernization projects fail, a major concern and challenge for the CIOs with whom I speak. Every month I encounter situations where we have been brought into a project that is failing for one primary reason, which I call The Last Mile Challenge.

Besides the military, government organizations have been some of the longest users of computer technology over the last sixty years. As the U.S. population continued to grow, government structures kept pace.

IT modernization projects are often sold based on great expectations, perhaps TOO great.

Data analytics has enabled organizations to gain customers, streamline processes and adapt with agility to shifting market forces. Explore the many ways data analytics is reshaping every aspect of business today.