THE BOOM OF GENERATIVE AI

Business resilience is at its cutting edge thanks to digital transformation. It was supported for many years by the modernization of the IT platform and the adoption of the cloud. Since change is a continuous process, businesses look to innovations and state-of-the-art technologies to spur expansion and create new opportunities. Interestingly, businesses are now using generative AI to manage the quickly changing tech environment.

Despite its recent inception, GenAI has enormous and diverse business application potential. In an effort to save time, businesses are quickly integrating AI-driven technologies into their regular workflows. Automation combined with generative AI, according to a recent McKinsey study, could expedite 29.5% of working hours in the US economy. Mainframe modernization and low-code/no-code application development are the two key areas where generative AI can help businesses develop more quickly.

BIODIVERSITY & LOW/NO-CODE

Businesses can take advantage of a number of opportunities by utilizing low-code technology and generative AI together, as they are increasingly becoming combined:

Emphasized for non-IT professionals:

Generative AI enables “citizen developers” to benefit from development opportunities with little to no software training or expertise. Independent application development allows developers to take on more complex and strategic tasks, freeing up IT teams to work on other projects.

Faster app development:

Businesses can automate the creation of documentation, increase the reusability of software, and easily incorporate AI features like chatbots and image recognition into low-code apps by utilizing generative AI. Because one of the most time-consuming aspects of the development cycle is human error, generative AI permits fewer feedback loops.

Best practice compliance:

AI is able to confirm adherence to coding standards and suggest performance-boosting adjustments. Proactive assistance streamlines the coding procedure, leading to better-organized codebases.

POWERFUL AI & PRIMARY MODERNIZATION

Additionally, generative AI helps organizations modernize and transform their mainframes, which are still widely used in important industries like banking, retail, and aviation.

According to IBM research, over 70% of Fortune 500 companies still run business-critical applications on mainframes, and 93% of businesses still use them for customer transaction systems and financial management.

However, because of the complexity and difficulty of changing the applications they run, mainframes present a difficult transformation opportunity. These applications age with time, the associated costs rise, and system updates and maintenance may cause disruptions to operations.

Organizations are modernizing their mainframe systems to support the most important applications while moving workloads to hybrid cloud environments. However, there’s a chance that this migration process will involve antiquated programming languages, data transfer vulnerabilities, and possibly improper handling of private information. Data breaches may also result from an application modernization strategy that is not well-structured.

Therefore, in order to reduce these risks and increase efficiency and reliability in the areas where human error could lead to weaknesses, organizations are turning to generative AI.

Engineers can rapidly produce the code required for an application migration exercise, guarantee its quality, and produce the required documentation by utilizing AI. AI can assist with test case generation, maintain and expand upon features of legacy systems already in place, and assess the degree of similarity between migrated functions and mainframe functions even after migration has occurred.

Generative AI also acts as a bridge to enable a wider range of engineers and coding experts to take on modernization and migration projects, given the dearth of specialists in legacy languages like Cobol, on which many mainframe applications are built. It gives developers the know-how they need to work more efficiently, solve problems quickly, and maintain and update enterprise systems across a range of industries.

As an illustration, FPT Software recently unveiled Maia, a unique Generative AI concept that is an agent that is specifically designed to help with extremely complex processes. Its goal is to increase productivity and make the development process more pleasurable and rewarding by acting as an engineer’s and developer’s co-pilot and coworker.

Maia will automate code documentation and co-programming, and provide guidance and domain expertise through its conversational interface. In order to ensure accuracy, Maia is also expected to analyze the complexity of legacy systems, provide test cases during the testing phase, generate missing documentation, and recommend appropriate modern architecture during the assessment phase.

QUALIFICATIONS TO ASK AN AI PARTNER

Although adopting AI has many advantages, maximizing those benefits calls for in-depth knowledge. When strategically partnering with an AI partner, companies should take into account three important factors:

Proven Skills and Expertise:

One of the most important things is to understand how to best take advantage of the opportunities presented by AI on a sector-by-sector basis. The AI partner must exhibit technical expertise, industry-specific knowledge, and prior accomplishments.

Training and Support:

To ensure that your team can independently manage and comprehend the implemented AI systems, your ideal AI partner should provide extensive training programs.

Working together to unlock AI’s potential:

Successful AI integration depends heavily on effective collaboration. The partner will be able to help with scalability, seamless integration with current systems, and customization of solutions to the unique business outcomes for the organization.

In order to foster innovation and the useful application of AI, the IT service provider FPT Software is presently implementing an ecosystem and partnership approach that spans a number of domains, from responsible AI to research and solution development.

In particular, FPT Software and Mila, a Canadian research institute that specializes in machine learning, have formed an AI Residency plan wherein resident researchers engage in real-world projects and work closely with top academics to assist organizations in developing a suite of products supported by a robust R&D foundation.

Both organizations have been effective in promoting responsible AI as a means of advancing social progress, human development, and sustainable growth. With FPT Software’s recent membership in the AI Alliance, a significant global initiative formed by leading companies like IBM and Meta, this agenda is further strengthened.

To create solutions with a significant impact, the IT company collaborates with innovative partners. Highlights include its partnership with Silicon Valley’s Aitomatic to expand the provision of advanced industrial AI solutions, integrating Open Source Small Specialist Agent (OpenSSA) technology, or its collaboration with Landing AI to develop a computer vision quality inspection solution with visual prompting to shorten labeling time from months to minutes.

FINAL SUMMARY

By reducing the possibility of human error, generative AI enables businesses to expedite their digital transformation and enable every member of their workforce to interact with technology.

A partner-led approach is essential for navigating potential AI challenges and successfully utilizing AI. The outcomes of this next wave of transformation will be astounding when paired with the right partner.