Ubertal Launches Data Science MVP Accelerator

Posted October 27, 2017 by ubertal

Ubertal announces the latest technology Data Science MVP (Minimum Viable Product) Accelerator.

By leveraging insight gained through data science projects at 20+ Fortune 500 companies across 9 industries, Ubertal announces its Data Science MVP (Minimum Viable Product) Accelerator. The MVP Accelerator consists of proven methodology, processes and reusable open source platform components with Ubertal innovation, and can deliver tangible results within weeks instead of months or years. Ubertal clients have experienced the following benefits:

Reduced time from data acquisition to first predictive model
Reduced investment risk
Accelerated time-to-market
Avoidance of costly additions/distraction to existing AI/ML/Data Science/Analytics teams
"We have seen many companies spend millions of dollars on AI/ML/Big Data infrastructure without really understanding the potential business value of their data. Our MVP Accelerator is able to show real business value to our clients quickly so they can determine the appropriate course of action on their AI journey. It is especially valuable for companies who are trying to explore how they might commercialize their data," said Pavan Kochar, CEO. "We are here to help speed up our client's innovation cycle by removing the guesswork and identifying quick wins with their data."

With the MVP Accelerator, companies realize the potential value of their data quickly, without risking upfront heavy investment in data infrastructure. The MVP is an actual working product that the client can continue to build upon by leveraging open source technologies. The Ubertal MVP Accelerator is one of the first proven data science offerings in the market that can truly accelerate a company's AI journey.

Source:- https://www.prnewswire.com/news-releases/ubertal-launches-data-science-mvp-accelerator-300537267.html
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Contact Email [email protected]
Issued By Ubertal
Website Ubertal - Technology Service Company
Phone 6505428100
Business Address 1730 S. Amphlett Boulevard Suite 250
San Mateo, CA 94402
Country United States
Categories Technology
Tags Data Science , technology , MVP , Artificial Intelligence
Last Updated October 27, 2017