These days, AI is a real business growth driver that can be your decisive advantage to win the market competition. However, would you believe that almost 80% of AIs have failed? And the main reason is obvious – outdated software, not ready for high loads and adoption of modern technology. Even if your old program still works, it wasn’t created with built-in capabilities. Many companies face this challenge by using a modern legacy. So how can you bridge the gap between your AI expectations and the actual system? Keep reading to find out.
5 common inheritance problems
Andrew lychuk, corsac lychuk technology CTO, lays out the following fashion obstacles that can cause significant problems in your AI discovery process:
- Donolithic software is always supported by Rigid Donolithic Architecture. All elements are tightly integrated and connected with many unexpected dependencies. Core Logic is dirty, so any update is risky and can lead to system crash. In addition, even small changes cannot be deployed independently – you have to rewrite the entire program without the opportunity to test it in a safe environment. Such rigid construction has no place for AI models – you need to separate them into different modules first.
- A Tech stack out of ANDET like the .net Framework, PHP 5, or 2 limitations of Python is pointless and ineffective. Prescribed libraries, integrations, specifications, security models, security models, etc. are not compatible with AI.
- AI models are based on real-time communication and event management. For example, when a customer creates a new order or renews a profile, AI models capture this action immediately, inform the system, process the new information, and provide a result. This continuous data exchange is enabled by today’s APIs. Their integration into legacy systems may be impossible or very expensive.
- There is no default. The deployment of legacy platforms relies on manual testing which increases the risk of errors. To make sure that AI behavior is appropriate, we need automated documentation, pipeline, and validation, as well as REVAND and Simplification tests. In some cases, such deployments will be insecure, poorly tested, and can cause the entire system to fail.
- Asynchronous software is often limited by not being able to use asynchronous operations. It means that you cannot introduce new features or small changes without disrupting the ongoing functionality. You have to stop the whole system, so the output of errors and unexpected errors is inevitable. As we mentioned earlier, the use of AI needs to be thoroughly tested. So without the right modern AI platform you will have to protect the entire workflow for a long time and there is no guarantee that the desired results will be achieved.
What do you have to do to use AI?
Ihor Omelianchuk, founder of Corsac Technologies, he believes that effective results are impossible without thorough research. Our experts provide root cause analysis to check code and details, secure security bottlenecks, identify unexpected dependencies and other reasons for Tech Stagnation. You will get a real picture of your AI-readiness program and clear steps for what needs to be improved. Based on the results, you should implement changes that start with creating a plan to improve ongoing tests and support methods. Be aware of security risks and other factors that can affect your adoption rate. With updated platforms, you’ll be empowered to integrate AI more, with reduced risks to overall system stability.
To summarize, AI integration can be a win-win solution for your business if it is done after the last system update. Corsac technology is a reliable partner for modern software that does not care about the randomness of high-quality changes. We ensure deep business transformation enabled by new Technotions. The most important thing in CORE is to keep all the processes aligned with the Core Business Logic and without significant interruption of your core activities. Since 2007, we have already helped 100+ clients develop their businesses with reliable, up-to-date, time-based software. Reach out to discuss the details of your project and let the next success stories be yours!
