SnapLogic’s Iris AI powers self-driving integrations.
Iris AI, SnapLogic’s latest innovation, uses artificial intelligence to automate highly repetitive, low-level development tasks, eliminating the data and application integration backlog that stifles most technology initiatives. The result is an industry-first technology that applies machine learning to enterprise integration –dramatically changing the economics of cloud, analytics, and digital transformation initiatives. Iris uses advanced algorithms to learn from millions of metadata elements and billions of data flows via the SnapLogic Intelligent Integration Platform. It then applies that learning to improve the speed and quality of integrations across data, applications, and business processes.
Self-driving software for enterprise integration
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Our “self-driving” software for enterprise integration enables line-of-business users to manage their own data pipelines, while freeing up technology teams for higher-value design and deployment needs. As founder and CEO Gaurav Dhillon likes to say, “digital transformation shouldn’t depend on manual labor.”
(2 Minute Video)
The SnapLogic Integration Assistant is a recommendation engine that uses machine learning to predict the next step in building a data pipeline for cloud, analytics, and digital initiatives – with up to 90 percent accuracy. It is part of SnapLogic’s “Iris” technology – the industry’s first software to apply artificial intelligence for enterprise integration.
Helping both IT specialists and business users
Integration Assistant automates repetitive tasks for increased IT productivity and enables business users to quickly connect applications and data together to reveal new insights. The “self-driving” software also shortens the learning curve for line-of-business users to manage their own data flows, while freeing technology staff for higher-value software development. More than 83 percent of SnapLogic customers have Integration Assistant turned on to help them quickly and accurately create data pipelines.