Press Release (ePRNews.com) - NEW YORK - Oct 10, 2017 - Aquant has launched a seven-day challenge to allow service companies to witness the intense speed in which Aquant’s revolutionary technology can perform collection and analysis of unstructured data as well as produce predictive reports, a process that would otherwise take months to complete.
Good news for service companies struggling with serious machinery downtime. Leading New York-based tech company, Aquant, has developed a technology that addresses the $647 billion-dollar problem of machinery downtime that worries service companies. The company not only established sophisticated AI and machine learning technology but also developed revolutionary data analysis algorithms to enable the seven-day challenge. This futuristic predictive AI technology could help service companies solve the costly downtime issues and experience significant savings.
Shahar Chen, Aquant CEO and Co-Founder states, “We’re really excited about the seven-day challenge as it proves how our artificial intelligence, machine learning, and the ability to automatically analyze unstructured data can create immense value in a fraction of the time it usually takes other companies to do the same analysis. Our platform creates predictive analytics with real-time, data-driven business recommendations that service companies can implement immediately to increase uptime. It really is a game changer for this industry.”
As a rising name in the tech business ecosystem, Aquant is one of the pioneers to introduce artificial intelligence and machine learning to the space of service. The company, a winner of the Industry Innovators 2017 Award, is creating a revolution in the industry by eliminating the need to buy or upgrade existing IT systems for an astronomical cost. Aquant turns those IT systems into intelligent ones by providing a “brain” that is able to collect and analyze any format of data in a flash and generate predictions for expected technical failures of the machine, the most cost-effective solution and the required parts and skills in order to increase uptime.
The unique aspect of this system is its ability to locate potential failures even at those levels which are difficult to be predicted by human technicians. Engineered with predictive AI and machine learning, Aquant’s state of the art algorithms are able to forecast the servicing needs long before they occur and save precious downtime, all based on the analysis of existing historical structured and unstructured data.
Guy Poreh, Founder of Playground and tech marketing expert states, “It is incredibly encouraging to see such powerful algorithms put into play on these enterprise-level, multibillion-dollar problems and solve them so effectively and quickly. Aquant is a true System of Intelligence that brings incredible outcomes while utilizing the tools and systems of legacy that nearly all clients have.”
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