BANGALORE and FREMONT, California, November 29, 2017 /PRNewswire/ —
BRIDGEi2i Analytics Solutions announced today that Gartner has named the company in its, “Market Guide on Data Science and Machine Learning Service Providers, 2017“.
The Gartner report provides a detailed analysis of data science and machine learning providers for leaders looking at identifying partners for their analytics requirements.
BRIDGEi2i Analytics Solutions CEO, Prithvijit Roy said, “We are really excited at being named in the Gartner Market Guide for Data Science and Machine Learning. BRIDGEi2i’s AI Lab has done a lot of good work on building an innovation ecosystem within BRIDGEi2i for machine learning and data science algorithms and platforms that can provide value and impact for our customers in their Digital Transformation journeys. Our endeavour is to make analytics seamless for enterprises and we believe that data science and machine learning hold the key. This will help organizations accelerate their Digital Transformation outcomes around Customer Experience, Operational Excellence and New Digital Business Models.”
BRIDGEi2i is a trusted partner for enabling data-driven business transformation in enterprises by leveraging advanced analytics, domain expertise, and AI-powered technology accelerators. BRIDGEi2i enables businesses to contextualize data, generate actionable insights from complex business problems, and make data-driven decisions across pan-enterprise processes to create sustainable business impact.
Source: Market Guide for Data Science and Machine Learning Service Providers, 31 Oct 2017
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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