Global companies are investing billions of dollars into digital programs. But mountains of legacy are still holding these transformations back. For example, the vast majority of banking transactions still run on COBOL mainframes. With the move to cloud and microservices, the need to understand and transform monoliths and legacy code has become an imperative.
In 2015, Gartner estimated worldwide technical debt at more than $1 trillion and development teams are scared to wade into this mounting mess.
Download this paper to understand how you can tackle the challenge of legacy code, with understanding of the latest approaches leveraging artificial intelligence for code to minimise delays in your development and maximize the quality of your code.
