by Angela Guess
A recent press release states, “SnapLogic, the leader in self-service integration, today announced industry-first technology that applies machine learning to enterprise integration — dramatically changing the economics of cloud, analytics, and digital transformation initiatives. The new technology, named Iris, uses artificial intelligence to automate highly repetitive development tasks, eliminating integration backlogs that stifle most technology initiatives. Iris uses advanced algorithms to learn from millions of metadata elements and billions of data flows via the SnapLogic Enterprise Integration Cloud. It applies that learning to deliver expert step-by-step guidance, improving the speed and quality of integrations across data, applications, and business processes. The “self-driving” software thus shortens the learning curve for line-of-business users to manage their own data flows, while freeing up technology teams for higher-value design and deployment needs.”
The release goes on, “Iris extends SnapLogic’s vision for self-service integration, and will fuel a series of technology innovations that SnapLogic plans to deliver over the next two to three years based on its Enterprise Integration Cloud. The first Iris-based feature is SnapLogic Integration Assistant, a recommendation engine that uses machine intelligence to give business users and analysts the right next steps in building data pipelines. Integration Assistant will be available to customers next month as part of SnapLogic’s Spring 2017 Release, and is available to all customers at no charge. ‘The SnapLogic platform allows us to seamlessly transfer data between systems, without cumbersome volume limitations,’ said Alan Leung, senior manager of data strategy and architecture at Box. ‘We’re excited to begin leveraging the new machine learning capabilities to improve efficiencies, so we can integrate more data and automate more processes than ever before’.”
Read more at Marketwired.
Photo credit: SnapLogic