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Sandia Research Project turns Big Data into real-time, actionable intelligence

Researchers at Sandia National Labs are leading a project to deliver actionable information from streaming data to decision makers. While social media, cameras, sensors and more generate huge amounts of data that can overwhelm analysts, the project looks to provide crucial insight in real time. “Actionable intelligence is the next level of data analysis where analysis is put into use for near-real-time decision-making. Success on this research will have a strong impact to many time-critical national security applications.”

NEC-X Opens Vector Engine Data Acceleration Center in Silicon Valley

Today NEC-X launched the Vector Engine Data Acceleration Center (VEDAC) at its Silicon Valley facility. This new VEDAC is one of the company’s many offerings to innovators, makers and change agents. The NEC X organization is focused on fostering big data innovations using NEC’s emerging technologies while tapping into Silicon Valley’s rich ecosystem. “We are gratified to see the developing innovations that are taking advantage of the cutting-edge technologies from NEC’s laboratories.”

Cavium ThunderX Cluster to Crunch Big Data at University of Michigan

Today Cavium announced a new partnership that will position the University of Michigan as a leader in data-intensive scientific research by creating a powerful Big Data computing cluster using dual socket servers powered by Cavium’s ThunderX ARMv8-A workload optimized processors. The cluster consists of 40 servers each containing 96 ARMv8 cores and 512 GB of RAM per server. 

insideBigData Industry Predictions for 2017

In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. “AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation.”