AI for IT modernization: Faster, cheaper, better

Summary

Summarized wtih ChatGPT

Generative AI (gen AI) is changing how companies modernize their technology, making it faster and cheaper. By using gen AI agents, businesses can reduce costs and improve the quality of their tech modernization efforts. Companies should focus on developing gen AI capabilities to tackle their biggest technology challenges.

Key Takeaways:

1. Leverage gen AI to streamline and automate legacy system modernization.
2. Develop a centralized gen AI platform to standardize processes and improve efficiency.
3. Identify and prioritize the most complex technology problems for gen AI solutions.

Highlights from Article

As much as 70 percent of the software used by Fortune 500 companies was developed 20 or more years ag

• Hardware and tech at large companies ia old!

While these are still early days, our experience indicates that harnessing gen AI can eliminate much of the manual work, leading to a 40 to 50 percent acceleration in tech modernization timelines and a 40 percent reduction in costs derived from technology debt while also improving the quality of the outputs.

This code-and-load approach, however, essentially migrates your tech debt into a modern context. Thi

he goal of a legacy-tech modernization effort should not be to convert as many lines of code as possible. It should be to improve systems and processes so the business can generate more value. That means using gen AI to understand the code you already have, determine what’s needed to generate business value, and then modernize the processes that are necessary for achieving that outcome.

• Using AI to just wholesale migrate tech debt is a bad use case since it ignores ability to actually pick and choose what matters

To ensure gen AI agents deliver the right outcomes, it’s important to implement a range of controls. Constructive feedback loops, for example, allow agents to review and refine one another’s work.

Focus gen AI on your biggest problems. Small-scale initiatives lead to small-scale outcomes.

All material owns to the authors, of course. If I’m highlighting or writing notes on this, I mostly likely recommend reading the original article, of course.

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