Providing a cloud native, enterprise-grade AI platform for mission critical business applications
Talend, a global leader in cloud integration solutions, announced that Talend Data Fabric and Talend’s Stitch Data Loader will now integrate with RapidMiner Server and RapidMiner AI Cloud to help global enterprises operationalize data science and AI.
Global business value derived from artificial intelligence (AI) was projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner, Inc. AI-derived business value is forecast to reach $3.9 trillion in 2022.
The partnership between Talend and RapidMiner will help data science focused organizations to operationalize predictive models in large-scale enterprise deployments in high-value use cases such as real-time customer experience, predictive maintenance, and fraud detection. This is possible thanks to RapidMiner adopting Talend’s open platform and component kit to develop machine learning components that can process at optimal performance and scale with Talend Data Fabric. This tight integration enables RapidMiner’s automated data science to be coupled with Talend’s enterprise data management platform.
“Our customers have been doing exploratory data science and they are making incredible insights with their data and developing machine learning models to predict future behavior. But when they try to operationalize those machine learning models, they run into traditional challenges of scale, reliability, and manageability. We partnered with Talend to give our customers a best of breed option to solve the operational challenges they face,” said Jeff Bashaw, VP Channels and Corporate Development at RapidMiner.
“With the backing of a market leading data science and machine learning partner like RapidMiner, we’ve been able to help data scientists at global enterprises to finally operationalize AI,” says Michael Pickett, SVP Corporate Business Development. “The combined Talend and RapidMiner technologies are helping 2,000 organizations globally use AI to increase revenue, reduce cost, and eliminate risk on a consistent and operational basis.”