Pleasanton, California. Jan 11, 2021— SpringML, Inc. (“SpringML”), a leader in machine learning and advanced data analytics services, is proud to announce that it has received Specialization Status in Data Management in the Google Cloud Partner Advantage Program.
SpringML is honored to announce we’ve achieved Data Management Specialization.
Pandemic has accelerated cloud adoption and enterprises are looking for data-driven decision making. Data management has become a critical asset to help pivot to demand and sustain the shift.
“SpringML is an agent of change to help enterprises rapidly deploy data-driven digital transformation projects,” said Girish Reddy, CTO of SpringML. “Google Cloud provides a scalable and secure data platform that helps us deploy solutions cost effectively.”
As enterprises look for new ways to engage with customers, providing creative digital experiences is key. SpringML is the “go to” partner of choice for data-driven digital transformation projects. We help enterprises build applications with an agile, iterative, and incremental delivery model.
“It’s exciting to see how SpringML is leveraging its investment in Google Cloud to differentiate its business and bring thoughtful solutions to market. Specialization is key to their strategy,” said Nina Harding, Global Chief of Partner Programs & Strategy, Google Cloud. “SpringML knows that Specializations signal customers and our sales teams that they bring a deeper level of commitment and an unrivaled set of skills to the market.”
About SpringML, Inc.
SpringML delivers data-driven digital transformation outcomes with an experimentation and design thinking mindset. We provide consulting and implementation services and industry-specific analytics solutions that deliver high-impact business value from data. SpringML is a premier Google Cloud partner with capabilities to plan, assess, deploy, and manage data-driven engagements. We have been awarded Google Cloud specialization based on our expertise and customer portfolio for Data Management, Application Development, Data Analytics, Machine Learning, and Marketing Analytics.