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May 19, 2024
Article by Digibee CTOh and co-founder, Peter Kreslins Junior, featured in Época Negócios [1] on May 18, 2024, see the air highlightedarticle.
Generative AI is definitely here to stay. Every day we learn about a new product or improvement in virtually every industry. What we’re seeing behind the scenes is a race toward generative AI from an enterprise integration perspective, and this scenario will continue through 2024 as companies evolve their platforms and solutions to incorporate it.
Going forward, generative AI will continue to transform systems integration in enterprises, improving productivity, digital transformation initiatives, and the ability to develop, maintain, and manage integrations and their compliance requirements. However, during exciting times of technological transformation, it is always necessary to separate the hype from the tried-and-tested improvements that companies in highly regulated industries such as banking, healthcare, and insurance can safely implement while realizing the time, cost, and productivity benefits of new technology.
In enterprise integration, generative AI currently has reliable and beneficial applications in these areas, mainly: documentation, guidance and best practices, easier construction and maintenance of integrations, and debugging and testing of integrations.
Documentation
Generative AI can save time and effort in documenting integration flows, which also improves maintenance and compliance efforts. It frees technical experts from the difficult and time-consuming task of creating and maintaining pipeline documentation and allows teams to focus on initiatives that can help the company achieve its business goals, including IT strategies, innovation, and digital transformation.
Generative AI can quickly analyze the components of an integration pipeline, including configurations, mapping of what data is being transferred, transformations, and connections. You can then describe in words and diagrams how an integration works, including the systems and data involved, the logic applied, how the integration is triggered, all events within the pipeline, and any associated dependencies.
AI-generated documentation helps all integration team members understand and maintain it, communicate its purpose and operational details, and capture compliance requirements. Generative AI creates documentation in a fraction of the time and automatically updates it after any changes are made to the integration ecosystem.
Guidance and Best Practices
With generative AI, it will be possible to more easily guide new users on integration platforms and offer doses of knowledge throughout the entire journey. For example, detecting and suggesting best practices for using the platform and building integrations, in addition to AI working as a personalized assistant, which knows the specificities of each user.
Easy construction and maintenance
Another important way that generative AI can be applied to enterprise systems integration is by instantly creating integration “drafts” based on a vast collection of patterns embedded in a large language model. This approach replaces the packaged integration catalogs or processes that integration platforms develop and maintain to help customers quickly build integrations.
Instead of manually collecting and maintaining common integration catalogs, which is a time-consuming and resource-intensive process, generative AI models can be trained to include and use commonly developed and deployed anonymized integration patterns on the integration platform. However, it is up to customers to decide whether their anonymized integration patterns are included in the model for model training and potential reuse.
Generative AI can instantly create integrations based on prompts, using any combination of the patterns stored in the template. Developers can then review the generated integrations and modify them as needed, saving significant time and resources on creating entire integrations or using integration patterns that may be out of date in a manually maintained catalog. Generative AI can also automatically document the integrations it generates, including any modifications made by developers.
An important step after building integrations is maintaining them. Generative AI models can support easier maintenance by enabling more consistent changes that follow best practices. Just as Copilot was built to support code maintenance, generative AI models applied to integrations can simplify the arduous process of evolution.
Integration Tests
TestingIntegrations is a difficult task that requires a lot of effort. Generative AI models applied to integrations can facilitate the construction of diverse test cases with good scenario coverage. In addition, the AI assistant can facilitate troubleshooting processes and improve integrations.
Generative AI is an important key to competitiveness and success. It is the most significant development in integration platform technology since the introduction of modern, cloud-born, low-code integration platforms. Generative AI is also on the verge of becoming and will continue to be an important factor in maintaining competitiveness, both for systems integration vendors and for organizations using integrations to optimize agility and digital transformation.
With the productivity improvements enabled by generative AI, companies are more likely to improve efficiency and their ability to succeed. Without generative AI, organizations will likely fall behind in their digital integration and transformation initiatives.
More about Digibee AI
Digibee’s integration platform is built on the core principle of empowering developers to build and manage complex integrations with simplicity and ease, so they can focus on higher-value work. It’s no surprise that our AI-powered tools offer capabilities to support, guide, and automate tasks for development teams to enable productivity and free up time for innovation. Learn more:
- CMSWire Features Digibee Head of Education and AI
- Digibee Introduces AI-Powered Documentation to Its Integration Platform
- See AI documentation in action with a quick tour
- Learn how to accelerate your development workflow with AI-powered tools
- See how our product and AI increased a leading bank's productivity by 75%
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