COBOL is pervasive, especially in critical industries such as finance, health care, and government services. But the workforce supporting COBOL is retiring, and the risks associated with the departing knowledge are daunting. Training programs are stood up in hopes of educating a workforce to support 50-year-old code, and hundreds of millions of dollars are spent on failed program conversions.
The solution is here. COBOL Colleague is a cognitive agent that comprehends any COBOL application better than human experts. It understands programs precisely, never tires, and communicates it’s understanding to end-users with no adoption curve.
Use COBOL Colleague to propel the maintenance, evolution, and transformation of your COBOL programs with cognitive automation. Applying cognitive automation to COBOL-based applications for the first time mitigates the risk of knowledge loss, increases application comprehension, improves developer productivity, and reduces the time and resources spent on application engineering.
|Watch Founder & CEO Steve Bucuvalas describe why we are targeting COBOL-based application, and how COBOL Colleague went from mathematical theory to AI reality.|
Developers spend 75-80% of their time reading code and simulating the logic in their brains. This understanding is essential to making reliable changes. As programs scale, the effort magnifies.
To bolster their understanding, system newbies typically talk to knowledgable and experienced colleagues. But what happens when those experts and their knowledge aren’t around, or worse, when they’ve left the organization?
Using advanced analysis techniques and intelligence augmentation, COBOL Colleague reads code and understands it much the same way humans do, but more concisely and comprehensively, even across millions of lines of code. And if the code changes, its knowledge adapts, and it never forgets.
COBOL Colleague collaborates with your development team and assists them in understanding large COBOL programs. They simply need to know English and have a novice’s familiarity with COBOL. That’s it!
As a collaborative agent, COBOL Colleague helps developers, quality assurance specialists, and business analysts locate defects in seconds. Users type or ask questions in natural language, such as, “Show me where an account balance can be negative.” Navigating programs is as easy as simply speaking or typing plain English.
COBOL Colleague enables users to confidently make code changes by revealing change impact with certainty and visually displaying it through an innovative interface.
|Greg Brueggeman explains why the cost of fixing COBOL-based application bugs is rising, and why that threatens to undermine critical financial and government institutions.|
COBOL is old. And, frankly, not very sexy. Experienced COBOL engineers are retiring at an increasing rate, and today’s developers have far too many better-looking options than learning the 60-year-old programming language. But COBOL-based applications remain entrenched in many industries critical to our daily lives, such as finance and banking, health care, and government services.
That means risk. People write the programs that make the machines go – and those people are vanishing.
COBOL Colleague is applied-AI-to-the-COBOL-source-code rescue. It makes software developers smarter by helping them solve problems collaboratively and build new code faster.
Alleviating 75-80% of your developers’ skull sweat is a game changer. That translates to a minimum 4x increase in productivity for each developer.
Propel the maintenance, evolution, and transformation of your programs with COBOL Colleague and cognitive automation.
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