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REDWOOD CITY, Calif., Feb. 21, 2019 (GLOBE NEWSWIRE) -- Talend (NASDAQ: TLND), 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 2022.1
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.”
This integration from Talend and RapidMiner is available now for data scientists to develop machine learning models that can rapidly scale to meet business needs and provide best in class customer experience, boost business outcomes and outsmart competition. For more information and a full analysis of this offering, register to attend the Operationalizing Artificial Intelligence with RapidMiner and Talend webinar taking place on April 30.
RapidMiner brings artificial intelligence to the enterprise through an open and extensible data science platform. Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. 400,000+ analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks. For more information, visit rapidminer.com.
Talend (Nasdaq: TLND), a leader in cloud integration solutions, puts more of the right data to work for your business, faster. Talend Cloud delivers a single platform for simple and complex data integration tasks across public, private, and hybrid cloud, as well as on-premises environments, and enables greater collaboration between IT and business teams. Combined with self-service solutions and hundreds of pre-built connectors from SaaS applications to cloud data warehouses, Talend allows you to cost-effectively meet the demands of ever-increasing data volumes, users, and use cases.
Almost 3,000 global enterprise customers have chosen Talend to put their data to work including GE, HP Inc., and Domino’s. Talend has been recognized as a leader in its field by leading analyst firms and industry publications including Forbes, InfoWorld, and SD Times. For more information, please visit www.talend.com and follow us on Twitter: @Talend.
1 Gartner Says Global Artificial Intelligence Business Value to Reach $1.2 Trillion in 2018, Gartner, 2018
Lexus Kantz, Public Relations Manager Talend firstname.lastname@example.org