(Image credit: Earnix homepage.)
Earnix, Ltd., headquartered in Giv’atayim, Israel, an advanced analytics solutions provider for the financial services industry, and DataRobot, headquartered in Boston, Mass., a provider of automated machine learning, have announced a strategic alliance. The companies are offering an integration between their solutions, which allows models created in DataRobot’s automated machine learning platform to be easily integrated into Earnix’s pricing and risk modeling platform.
Users of the Earnix solution are able to combine DataRobot’s machine learning models with traditional regression analytical models, in considerably less time than with traditional methods, the firms report. Marquee clients are already using the integrated solutions and have reported that the AI-driven insights in high-performance, real-time production systems have resulted in greater precision and time-to-market, according to Earnix and DataRobot.
“We’re excited to be working with Earnix, an innovator in analytics, to offer the financial services industry a best-of-breed solution that will give our joint customers a competitive advantage in the marketplace,” comments Seann Gardiner, SVP, Business Development, DataRobot.
The integrated solution is expected to utilize machine learning to afford users an increase in the speed and accuracy of their analytic applications and improved market responsiveness and business results.
“We are providing our clients with the tools, techniques, and technology needed to produce significant business results from advanced analytics. We are delighted to be working with DataRobot to empower users of all skill levels to develop and deploy highly accurate machine learning models within Earnix applications at scale. The joint solution delivers on our vision of Customer Centric Digital Transformation,” says Udi Ziv, CEO, Earnix.