SnapLogic Delivers Simplified App and Data Integration with Expanded AI Capabilities

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by Angela Guess

According to a recent press release, “SnapLogic, the leader in self-service application and data integration, today announced updates to its Enterprise Integration Cloud platform. The new release includes enhancements to SnapLogic’s Iris AI capabilities, expanded support for Amazon and Reltio, and platform performance upgrades. With these updates, customers relying on SnapLogic accelerate performance, reduce time to value, and achieve self-service integration goals. As organizations turn to AI and machine learning to meet heightened customer demands, SnapLogic has applied a new neural network algorithm to its machine learning-based recommendation engine, Iris Integration Assistant, to provide even greater speed and accuracy in first-Snap and next-Snap suggestions when building integration pipelines. This shortens the pipeline-building learning curve for citizen integrators and allows them to self-drive integration projects without relying on IT.”

The release goes on, “SnapLogic continues to improve the platform’s performance and user productivity. New Expression Language Optimization helps customers rapidly build and execute integrations and achieve faster and better business results. Also with this release, enhancements to Autonomous Pipeline Execution further simplifies the integration process and eliminates latency, allowing customers to execute integration projects, gain access to data, and derive business insights more quickly. In addition to performance improvements, SnapLogic has enhanced the platform’s user experience by introducing new Recycle Bin functionality, allowing users to restore deleted assets for up to 30 days. Possible service disruptions have been mitigated by adding a Selectable Update Window capability, allowing users to choose their preferred time to update their platform for each quarterly release starting with the May 2018 release.”

Read more at BusinessWire.

Photo credit: SnapLogic

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