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May 19, 2024
Article by Digibee CTO and cofounder, Peter Kreslins Junior, featured in Época Negócios [1] on May 18, 2024, see the featured article.
Generative AI is definitely here to stay. Every day we learn about a new product or improvement in practically every industry. What we see behind the scenes is a race towards generative AI from the point of view of business integration, and this scenario will continue throughout 2024, with companies perfecting their platforms and solutions to incorporate it.
From now on, generative AI will continue to transform system 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-true improvements that companies in highly regulated industries such as banking, healthcare, and insurance can safely implement while realizing the benefits of time, cost, and productivity of the new technology.
In enterprise integration, generative AI currently has reliable and beneficial applications in these areas, mainly: documentation, guidance and best practices, facilitated construction and maintenance of integrations, and debugging and testing of integrations.
Documentation
Generative AI can save time and labor 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 objectives, 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. It 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 record for 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 along the entire journey. For example, detecting and suggesting best practices for using the platform and building integrations, as well as 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 included in a large language model. This approach replaces the packaged integration catalogs or processes that integration platforms develop and maintain to help customers quickly create integrations.
Instead of manually collecting and maintaining common integration catalogs, which is a time- and resource-intensive process, generative AI models can be trained to include and use anonymized integration patterns commonly developed and deployed on the integration platform. But it is the customers who decide whether their anonymized integration patterns are included in the model for model training and possible reuse.
Generative AI can create integrations instantly based on prompts, using any combination of the patterns stored in the model. Developers can then review the generated integrations and modify them as needed, which saves a lot of time and resources in 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, allowing for more consistent changes that follow good practices. Just as Copilot was created to support code maintenance, generative AI models applied to integrations can simplify the arduous process of evolution.
Integration Tests
Testing integrations is an arduous task that requires a lot of effort. Generative AI models applied to integrations can facilitate the construction of diverse test cases with a good coverage of scenarios. Additionally, the AI assistant can facilitate troubleshooting processes and improving 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, born-in-the-cloud, low-code integration platforms. Generative AI is also close to becoming and will continue to be an important factor in maintaining competitiveness, both for systems integration providers and organizations using integrations to optimize agility and digital transformation.
With productivity improvements from 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 on Digibee’s AI
Digibee’s integration platform was built on the core tenet 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 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-based documentation to its integration platform
- See AI Documentation in action with a quick tour
- Learn how to accelerate your development workflow with AI-Driven tools
- See how our product and AI boosted productivity for a leading bank by 75%
[1] Época Negócios is a news source aiming to build a new narrative for the business world and challenge the status quo of economic journalism. Their content covers important issues for businesses, ranging from open banking to biotechnology and includes issues pertaining to office culture, leadership, reorganization, diversity, and innovation.
