Celigo, the leading integration platform as a service (iPaaS) for business and IT users, today announced new enhancements to its recently announced suite of embedded artificial intelligence (AI) capabilities. These AI capabilities include the industry’s first AI-powered Error Management solution that leverages AI and machine learning (ML) to auto-resolve 95% of API and integration errors while reducing error-resolution time by 90%.
The new enhancements to Celigo’s AI Error Management solution include categorization, tagging, AI-assisted development tools, and auto-recovery for rate-limit errors, with plans to add the ability to assign errors to specific users in an upcoming release. These capabilities move customers closer to fully autonomous error management while improving team collaboration, speeding up the resolution of the few errors that cannot be auto-resolved.
These enhancements come in response to the increasing importance of AI in speeding integration development, optimizing run-time operations, and reducing the need for experienced developers. In fact, a new survey1 of Celigo customers revealed that 98% rank error management as a critical capability when evaluating iPaaS platforms.
“Instead of spending engineering effort on error management, now IT support and implementation consultants can address production errors and resolve them more easily,” said Aruna Tebel, application architect, OHRM Development. “Automatic error resolution, with the same trace key, has greatly improved the user experience.”2
Researching and resolving errors drives up the cost of ownership for any integration platform and consumes valuable IT resources. Celigo’s AI Error Management categorizes errors from any API and utilizes auto-recovery policies to take action based on the error category. In addition, the feature automatically resolves historical errors once it has detected that the original error condition is no longer present.
“Early in 2019, we recognized the potential of AI as a catalyst for innovation in iPaaS. Since launching it in our product, AI has unlocked tremendous time and resource savings while driving breakthrough results for our customers,” said Jan Arendtsz, founder and CEO at Celigo. “Our unique insight into the daily needs of integration management led us to find new ways for AI to significantly boost both design-time and run-time efficiency.”
Celigo and AI: Shaping the Future of Integration
Celigo implemented AI-powered error management by training the AI engine using billions of error records and instructing it to categorize the errors. With the latest enhancements, customers now have even more flexibility in how they interact with errors, providing more controls to customize as needed.
Error Tagging and Error Sorting are two features of the latest release, providing customers the ability to add tags to errors within the Celigo Platform as well as filter on those tags in the error management dashboard console, making it easier to find errors. With error sorting, users can control how errors are sorted based on several criteria making it easier to surface the errors users want to find faster.
In addition, the new AI-assisted Text-to-SQL for Snowflake feature enables customers to use a simple chat interface to create SQL statements that pull or push data to Snowflake. Less technical users with general knowledge of SQL can use everyday language to automatically build SQL statements within a test environment where they can be sure the generated SQL statement produces the results they expect.
Celigo also added new Flow Debugger functionality to enhance the ability to test integrations without having to deploy them into production, thus reducing complexity and eliminating the need to use live data. Now customers can test multi-source flows as well as change the active source which will propagate preview data, making it easier to debug complex flows.
The new release also includes the first set of AI-assisted Development Tools that are now available to all Celigo customers. This feature bridges knowledge gaps when developing more complex integrations that require code such as SQL or JavaScript, ultimately decreasing integration development time.
Future releases will include the ability to assign errors to specific users, further streamlining operations and reducing time to resolution.
“Our approach to revolutionizing error management is not limited to addressing immediate challenges but extended to developing a long-term vision for error-free integrations and time-savings for our customers,” said Arendtsz. “Over time, customers can expect to see new AI innovations from Celigo that will help them conquer challenges, amplify efficiencies, and unlock the true potential of integration.”
For more such updates, follow us on Google News Martech News