In today’s economy, volatility is the new normal. But in tech, disruptive volatility is now on steroids. Thanks to the pandemic and the sporadic growth that followed, IT managers struggled to address how best to move their modernization goals forward. Adapting to remote work needs and a customer base that shifted online, new and bigger

Enterprise software is in a critical stage of its evolution. Software complexity continues to advance while customer data grows exponentially along with it (although which one is the chicken and which one is the egg could be debated). To make matters even more fun, artificial intelligence is well on its way to turbocharging both. In

In software development, cloned code is a common yet unwelcome guest. It refers to code copied and pasted from one place to another, often without proper attribution or understanding of its purpose. While it may seem like a quick and easy solution for solving a problem, cloned code can lead to some pretty hairy issues

The short answer is yes, you can. Achieving cost savings depends on the COBOL system you’re running and how that app performs in the new Java environment. Let’s take a look. What are Specialty Processors? IBM Z offers specialty processors designed to offload specific types of work from the General Purpose Processor (GPP). The two

Traditionally, creating system documentation is a labor-intensive task that requires significant time, effort, and vigilant upkeep. And a real snore to boot. With the emergence of artificial intelligence that can read code and summarize it, a shiny new godsend is born for those of us who must maintain an additional layer of explanation to our

If a “big bang” modernization project isn’t an option for your organization, a growing number of approaches and solutions are at your service that can help you make incremental yet impactful progress. From microservices to automation, you can build a portfolio of “digital transformation” projects that increase efficiency, help you provide better services to your

COBOL and its rigid structures present a unique set of challenges to companies that want to leverage the advantages of contemporary programming languages with a conversion to Java. The process is fraught with challenges and risks that require meticulous planning and careful execution. One of the most critical aspects of this conversion process is testing.

No matter how much experience we invest into a complex project, chances are we learn a new thing or two along the way. Since we have deadlines to meet, we ship it as is, and we are happy to apply our new knowledge to the next project. With refactoring, we get a second shot at

In today’s rapidly evolving technological landscape, many businesses that rely on legacy systems are faced with the challenge of modernization. One such transition gaining traction is the move from COBOL to Java. COBOL and Java are widely used programming languages, but they differ significantly in flexibility, compatibility, and support, so a few key considerations are

Unsurprisingly, software engineers were among the first to start searching for places to improve the efficiency and accuracy of their work with Artificial Intelligence. More than a few were critical in making the technology work from the beginning. After all, if we configure machines with the ability to learn from experience, adjust to new inputs,