How AI Changed Platform Modernization

Have you ever heard of a “silver bullet” in platform modernization? New tech is exciting and can make things better, but real platform modernization isn’t just about flashy upgrades. It’s about understanding where you are now, what your business needs, and how technology can help you get there. In this article, we’ll break down what platform modernization really means and how using AI platform modernization can make your business smarter and more efficient.

There is no “silver bullet”

There is a belief that modernization is as simple as updating software to the latest version or implementing new hardware. This perspective fails to recognize the depth of planning and evaluation needed. Buying the latest software is like getting a new tool. It’s great, but you need to know how to use it effectively in your workshop to craft something amazing.

Platform modernization is, first and foremost, a strategic and thoughtful process. It’s about smart planning, careful choices, and making tech work for you, not the other way around. The technological aspect is only a mere part of the execution. The modernization process is best approached as a series of deliberate, well-planned actions.

Get the Big Picture

According to Google, 2024 is the year of rapid data platform modernization, as nearly all surveyed organizations are looking at modernizing their legacy systems.

So, what’s the big picture when it comes to modernizing your platform? First up – strategic alignment. This means making sure any tech changes actually help your business grow and hit its goals. Every new tech move should fit right in with what you’re trying to achieve.

Platform modernization can shake up how your whole organization works. New tech can change how tasks get done, what roles people play, and even the way they think and collaborate. It’s not always easy, but embracing these changes will make modernization work for you and your team.

The Role of AI & AI Tools in Platform Modernization

AI is like having a helpful assistant taking care of mundane tasks, making everything run smoother so you can focus on what’s important: moving your business forward. With that in mind, let’s dive into what proper platform modernization involves:

Automated Documentation

AI tools can automatically generate documentation for existing systems. This would speed up the documentation process and ensure that it is comprehensive.

Among the available approaches, AI in SDLC is particularly effective in producing high-quality, context-aware documentation.

Project Migration

AI is also used to assist in migrating projects from old platforms to new ones. AI algorithms can predict integration issues and optimize the migration process to avoid common pitfalls and allow for a smoother transition.

For example, you could use Exadel’s Automated Analysis Engine. It’s like having a superpowered detective on your team, uncovering areas for improvement and suggesting solutions. AI in SDLC is also an option, as it helps automate and manage the migration process by providing intelligent insights and support throughout the software development lifecycle.

Ensuring Quality and Compliance

Quality and compliance are non-negotiables, especially in industries like finance and healthcare. The modernized system can meet all functional and performance requirements by relying on AI-driven testing tools to cover more scenarios in less time. And with AI monitoring compliance every step of the way, you can rest easy knowing your systems are up to snuff.

Exadel’s Automated Analysis Engine excels in this, providing thorough testing and compliance monitoring to maintain your systems at the highest standards.

Operational Efficiency

You can’t just set it and forget it – new systems need to play nice with the old ones. Using a mix of automated and hands-on tests, as well as a team for continuous support and maintenance, is needed to continue tweaking things here and there. Once the modernization dust settles, AI continues to work its magic. AI tools pinpoint bottlenecks and suggest improvements.

AI in SDLC or SDLC Powered by Generative AI Assistants (tools like ChatGPT and GitHub Copilot) could be integrated to enhance stages from coding to maintenance, driving productivity by automating repetitive tasks and offering coding suggestions​​.

CI/CD updates

In plain English, this means improving how new updates and changes get rolled out. Incorporating advanced tools and automating key processes can achieve faster, error-free updates that keep your systems running like a well-oiled machine.

AI in SDLC and SDLC Powered by Generative AI Assistants stand out here as they enable seamless integration and can automate parts of the development, testing, and deployment phases, reducing time and labor costs while increasing accuracy.

Modernization has many faces

According to a recent IBM study 83% of responding executives agree that modernizing applications and data is central to the business strategy of their organizations. However, only 27% of the executive respondents state that they’ve modernized many of the necessary workflows.

There isn’t a one-size-fits-all upgrade. Modernization is a tailored approach that ranges from simple tweaks to major transformations.

Strategic Developments Call for Strategic Partnerships

Understand why you need to change and then figure out the best way to do it. You’re not just getting a tech upgrade. You’re getting a business transformation tailored to give you a competitive edge and boost your market performance.

When preparing each of our clients for this transition, we are guided by our understanding that modernization is not about technology. It’s about forging a strategic partnership to move you closer to your business goals.