Cambridge Semantics Acquires SPARQL City’s IP
News Jan 15, 2016
Cambridge Semantics has announced that it has acquired the intellectual property of SPARQL City and hired former CEO and founder Barry Zane and other top executives from the firm.
This acquisition enables Cambridge Semantics to expand its award-winning Anzo Smart Data Platform to offer unprecedented big data scale and value for enterprise-wide data lake and analytic initiatives.
“We believe this IP acquisition is a game-changer for big data analytics and smart data discovery,” said Chuck Pieper, CEO of Cambridge Semantics. “When coupled with our Anzo Smart Data Platform, no one else in the market can provide a similar end-to-end, semantic- and graph-based solution providing for data integration, data management and advanced analytics at the scale, context and speed that meets the needs of enterprises. The SPARQL City in-memory graph query engine allows users to conduct exploratory analytics at big data scale interactively.”
“We wish to welcome Barry and other executives and staff from SPARQL City to Cambridge Semantics,” Pieper said. “Barry is a pioneer in massively parallel processing and analytics and we are excited that Barry and his team have joined with us to continue our commitment to a high level of innovation and excellence in this market space.”
Zane possesses nearly 40 years in the database analytics industry, serving in executive roles at Applix and Netezza which launched successful IPOs and were both later acquired by IBM. He also founded ParAccel, which was later acquired by Actian and became the foundation for the Amazon Redshift data warehouse management service. Zane brings Brian Chu, Zane’s co-founder of both SPARQL City and ParAccel, and Babu Tammisetti, former VP of Technology at SPARQL City, to the Cambridge Semantics executive team.
“The SPARQL City team is thrilled to join Cambridge Semantics as we’ve already been working together as graph technology partners for over two years. As data grows richer by the day, enterprises want to analyze more sets of data from more diverse sources with an entirely new set of questions on how things relate to each other,” said Zane, now vice president of engineering, Cambridge Semantics. “The SPARQL City in-memory graph query engine was specifically built for high-performance analytics and does a dramatically better job of fulfilling these wishes than traditional technologies that have focused on data storage.
The combination of Cambridge Semantics’ Anzo Smart Data Platform and SPARQL City’s graph analysis capabilities can benefit any business seeking insight from big data search, analysis and data management, including:
• Pharma and life sciences: R&D drug discovery and investigations, genetic profiles, competitive intelligence, clinical trial data processing, and creating various investigative and graph-based solutions;
• Financial services: regulatory reporting, compliance and risk analytics, investigative solutions for fraud/insider trading, and mining of diverse data sources both inside and outside of the enterprise;
• Homeland security: “connecting the dots” more efficiently when analyzing data for threats both foreign and domestic.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
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