In the rapidly evolving world of technology, staying ahead of the curve is a constant challenge for businesses. International Business Machines (IBM), a renowned name in the tech industry, has just unveiled a remarkable tool that could be a game-changer. This tool, known as watsonx Code Assistant, leverages generative artificial intelligence (AI) to tackle a specific problem that has been plaguing enterprises for years – modernizing decades-old code written in COBOL, a programming language that has been in use since 1959.

A crucial need: Modernizing COBOL code

COBOL, or Common Business Oriented Language, may sound like a relic from the past, but it still plays a pivotal role in certain industries. According to IBM estimates, approximately 70% of global banking transactions are processed on mainframe systems running COBOL. This programming language has endured the test of time, but it faces a significant challenge – a dwindling pool of programmers who are proficient in COBOL.

Modernizing COBOL applications is a complex and resource-intensive task. Rewriting legacy COBOL code requires specialized talent, which is increasingly difficult to find as the knowledge of COBOL becomes scarcer. Furthermore, such modernization efforts carry the risk of disrupting mission-critical systems, a risk that many enterprises are unwilling to take.

The Watsonx Code assistant solution

IBM’s answer to this dilemma is the groundbreaking watsonx Code Assistant for Z. This specialized AI tool utilizes generative AI to address the COBOL conundrum. Here’s how it works:

1. Mapping COBOL applications: The tool first maps out a COBOL application and its dependencies, gaining a comprehensive understanding of the legacy system.

2. Modularization: It then breaks down the COBOL application into modular parts, making it more manageable for the modernization process.

3. Conversion to Modern Code: Perhaps the most crucial step, the Code Assistant converts these modular parts into modern Java code, a language more commonly used today.

While the tool does not currently support validation testing, future releases are expected to incorporate this critical functionality.

Multiple benefits for clients

The introduction of watsonx Code Assistant brings several advantages to IBM’s clients and the tech industry as a whole:

1. Modernization without abandonment

Mainframe customers now have a viable path to modernize their applications without abandoning the mainframe as a platform. This is a significant relief for businesses reliant on COBOL-powered systems.

2. Expanding customer relationships

IBM can further strengthen its relationships with mainframe customers by offering them a solution to a pressing issue. By facilitating modernization, IBM becomes an invaluable partner for enterprises with legacy systems.

3. Boost to IBM’s consulting business

IBM’s consulting arm will collaborate with clients to identify applications ready for modernization and develop customized solutions. This not only adds value to the client but also contributes to IBM’s consulting business growth.

4. Data privacy assurance

For industries like banking and financial services, data privacy is paramount. Many COBOL-powered applications handle sensitive and critical systems, making data security a significant concern. By partnering with IBM and utilizing the watsonx platform, clients can ensure the security of their data.

An Enterprise-First AI Strategy

IBM’s strategy in the AI space mirrors its hybrid cloud strategy, focusing on enhancing client productivity, efficiency, and cost-effectiveness. The arduous and potentially disruptive process of manually converting legacy COBOL applications to a modern language is often too costly for many mainframe customers to consider. With the introduction of watsonx Code Assistant, enterprises now have a viable alternative for modernizing their mission-critical applications.

IBM’s mainframe business, known for its resilience, has been grappling with the shortage of COBOL developers. This new AI tool not only addresses this challenge but also revitalizes the mainframe business, bringing it into the 21st century.

In a fast-paced technological landscape, IBM’s commitment to innovation and solving real-world problems is evident. The launch of watsonx Code Assistant showcases the company’s dedication to helping enterprises navigate the complexities of legacy systems and embrace the future of technology.

While the tech world continues to evolve, IBM’s AI-driven solution proves that even the oldest of programming languages can find a place in the modern digital era. As businesses seek efficient ways to adapt and thrive, watsonx Code Assistant emerges as a significant milestone in the journey of digital transformation.

It remains to be seen how this groundbreaking tool will shape the future of legacy system modernization, but one thing is clear: IBM is at the forefront of the AI revolution, paving the way for a more efficient and secure digital world.

In the rapidly evolving world of technology, staying ahead of the curve is a constant challenge for businesses. International Business Machines (IBM), a renowned name in the tech industry, has just unveiled a remarkable tool that could be a game-changer. This tool, known as watsonx Code Assistant, leverages generative artificial intelligence (AI) to tackle a specific problem that has been plaguing enterprises for years – modernizing decades-old code written in COBOL, a programming language that has been in use since 1959.

A crucial need: Modernizing COBOL code

COBOL, or Common Business Oriented Language, may sound like a relic from the past, but it still plays a pivotal role in certain industries. According to IBM estimates, approximately 70% of global banking transactions are processed on mainframe systems running COBOL. This programming language has endured the test of time, but it faces a significant challenge – a dwindling pool of programmers who are proficient in COBOL.

Modernizing COBOL applications is a complex and resource-intensive task. Rewriting legacy COBOL code requires specialized talent, which is increasingly difficult to find as the knowledge of COBOL becomes scarcer. Furthermore, such modernization efforts carry the risk of disrupting mission-critical systems, a risk that many enterprises are unwilling to take.

The Watsonx Code assistant solution

IBM’s answer to this dilemma is the groundbreaking watsonx Code Assistant for Z. This specialized AI tool utilizes generative AI to address the COBOL conundrum. Here’s how it works:

1. Mapping COBOL applications: The tool first maps out a COBOL application and its dependencies, gaining a comprehensive understanding of the legacy system.

2. Modularization: It then breaks down the COBOL application into modular parts, making it more manageable for the modernization process.

3. Conversion to Modern Code: Perhaps the most crucial step, the Code Assistant converts these modular parts into modern Java code, a language more commonly used today.

While the tool does not currently support validation testing, future releases are expected to incorporate this critical functionality.

Multiple benefits for clients

The introduction of watsonx Code Assistant brings several advantages to IBM’s clients and the tech industry as a whole:

1. Modernization without abandonment

Mainframe customers now have a viable path to modernize their applications without abandoning the mainframe as a platform. This is a significant relief for businesses reliant on COBOL-powered systems.

2. Expanding customer relationships

IBM can further strengthen its relationships with mainframe customers by offering them a solution to a pressing issue. By facilitating modernization, IBM becomes an invaluable partner for enterprises with legacy systems.

3. Boost to IBM’s consulting business

IBM’s consulting arm will collaborate with clients to identify applications ready for modernization and develop customized solutions. This not only adds value to the client but also contributes to IBM’s consulting business growth.

4. Data privacy assurance

For industries like banking and financial services, data privacy is paramount. Many COBOL-powered applications handle sensitive and critical systems, making data security a significant concern. By partnering with IBM and utilizing the watsonx platform, clients can ensure the security of their data.

An Enterprise-First AI Strategy

IBM’s strategy in the AI space mirrors its hybrid cloud strategy, focusing on enhancing client productivity, efficiency, and cost-effectiveness. The arduous and potentially disruptive process of manually converting legacy COBOL applications to a modern language is often too costly for many mainframe customers to consider. With the introduction of watsonx Code Assistant, enterprises now have a viable alternative for modernizing their mission-critical applications.

IBM’s mainframe business, known for its resilience, has been grappling with the shortage of COBOL developers. This new AI tool not only addresses this challenge but also revitalizes the mainframe business, bringing it into the 21st century.

In a fast-paced technological landscape, IBM’s commitment to innovation and solving real-world problems is evident. The launch of watsonx Code Assistant showcases the company’s dedication to helping enterprises navigate the complexities of legacy systems and embrace the future of technology.

While the tech world continues to evolve, IBM’s AI-driven solution proves that even the oldest of programming languages can find a place in the modern digital era. As businesses seek efficient ways to adapt and thrive, watsonx Code Assistant emerges as a significant milestone in the journey of digital transformation.

It remains to be seen how this groundbreaking tool will shape the future of legacy system modernization, but one thing is clear: IBM is at the forefront of the AI revolution, paving the way for a more efficient and secure digital world.