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But one area that still receives decidedly mixed reviews is artificial intelligence (AI).

Other vendors were demonstrating important and interesting innovations as well – honorable mentions include Cambridge Semantics, Clusterpoint, Cognitive Scale, Digital Reasoning, Ontotext, and Profium. Out of the gate it is able to accelerate data caching, a critical component of any cloud-based application.

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The mathematics itself is free for anyone to use – it’s impossible to patent math in any case – but Algebraix has developed patented technology that leverages this algebra. You can thus reap the benefits of the math without ever having to solve an equation. If you hated algebra back in high school, don’t worry – the point to this mathematics is to encourage improvements in data processing and integration technology. Last on my list of innovative companies is Algebraix Data ( Algebraix spent five years creating a new kind of mathematics they call a data algebra to describe all types of data.

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To address this challenge, Blazegraph has carefully optimized both hardware and software to avoid bottlenecks in processors, memory, and networks, thus delivering radically better performance than many other graph databases on the market. However, processing queries on graph databases can be especially compute intensive as the quantity of information grows. As a result, they are particularly useful for representing semantic information, as meanings of terms naturally follow a network pattern. Graph databases treat data as a network of related points, as opposed to the rows and columns that traditional databases use. Blazegraph offers a high performance graph database platform. In Loop AI’s case, mobile devices can host Siri-like semantic applications that work in real-time on the device, yet are able to sync with GPU-enabled servers for heavy lifting behind the scenes.Īlso leveraging GPU technology is Blazegraph ( (formerly Systap). Loop AI’s most interesting innovation is perhaps its use of fog computing – an extension of cloud computing that leverages client devices like smartphones as part of the cloud, ahem, fog. Today, GPU-accelerated computing is finding its way into a variety of scientific, analytics, engineering, consumer, and enterprise applications – including semantic processing, which can be extraordinarily compute-intensive for large, complex bodies of text or combinations of text with other kinds of data. GPU stands for graphics processing unit, as chip manufacturers like nVidia ( developed this technology for processor-intensive graphical tasks like animation rendering and real-time video manipulation. Loop AI leverages a specially built hardware appliance that features GPU chips.

This technology extends simple entity extraction to uncover complex relationships among concepts in text. Loop AI Labs ( offers a cognitive computing platform that can automatically extract a structured, usable representation of any human language. Such applications are as varied as drilling risk assessment in oil and gas to predicting blood clotting in patients with hypertension. Maana’s key innovation is its ability to mine data from multiple sources and then operationalize the resulting information for consumption within the context of existing applications. Field employees at these enterprises are using Maana to extract knowledge from technical datasets to help them operate, maintain and manage core assets and critical processes. Even though the company is still relatively new, it has already signed up some of the world’s largest corporations in the oil and gas industry, among others.