Contributed by Daniel D. Gutierrez, Managing Editor of insideBIGDATA, this is the first article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this first segment, we’ll set the stage for our discussion by providing an overview of the Internet-of-Things. The Internet of Things (IoT) is an emerging theme with wide technical, social, and economic significance. Consumer products, durable goods, automobiles, industrial equipment, utilities, various sensors, and other everyday devices are being combined with Internet connectivity and powerful analytics capabilities that promise to be transformative in terms of the way we live, work, and play.
Nimble Storage (NYSE: NMBL), a leader in predictive flash storage, announced its Predictive Flash Platform achieves over six-nines (99.999928%) availability, a new standard for up-time in the infrastructure industry. This level of availability translates to an impact of fewer than 25 seconds annually, empowering IT staff to focus on business priorities instead of routine maintenance with an infrastructure that gets smarter every single day.
In this special guest feature, Matthew Gould, Chief Strategy Officer and Co-Founder of Arria NLG, discusses how NLG doesn’t quite fire the imagination like AI, but it is the means to IA (Intelligence Amplification) and puts humans in control by harnessing computing power to amplify our capabilities.
Whether Artificial Intelligence (AI) is something you’ve just come across or it’s something you’ve been monitoring for a while, there’s no denying that it’s starting to influence many industries. And one place that it’s really starting to change things is e-commerce. Look at some examples of how leading online stores have used AI to enrich the customer buying experience.
Crate.io announced general availability of CrateDB 1.0, an open source SQL database that enables real-time analytics for machine data applications. CrateDB makes machine data applications that were previously only possible using NoSQL solutions available to mainstream SQL developers. The company also announced that it has opened a new world headquarters in San Francisco, adding to its existing presence in Berlin, Germany and Dornbirn, Austria.
In this special guest feature, Michele Chambers, EVP Anaconda Business Unit & CMO, Continuum Analytics, discusses how in 2015, President Obama appointed DJ Patil as the first Chief Data Scientist and Deputy Chief Technology Officer for Data Policy to focus on using data to shape policies and practices, and how going forward it is important for all governments to understand that Data Science is crucial to all decision making.
Litmus Automation, an Internet of Things (IoT) platform provider, announced the immediate availability of LoopEdge, the world’s first ever edge-level marketplace for IoT gateways. LoopEdge allows applications to be deployed on the edge, and provides an industrial driver marketplace which enables any gateway to interact easily with proprietary protocols from various vendors.
In this special feature, Steve Wilkes, co-founder and CTO at Striim, Inc. the real-time data integration and streaming analytics platform, offers his top predictions for 2017 on how real-time data integration and streaming analytics will impact the many areas it touches, including Cloud, IoT, Integration, Analytics, Big Data and Security.
Cray Inc. announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. Running larger deep learning models is a path to new scientific possibilities, but conventional systems and architectures limit the problems that can be addressed, as models take too long to train. Cray worked with Microsoft and CSCS, a world-class scientific computing center, to leverage their decades of high performance computing expertise to profoundly scale the Microsoft Cognitive Toolkit.
BlueData, provider of a leading Big-Data-as-a-Service (BDaaS) software platform, announced the general availability of its BlueData EPIC software on Amazon Web Services (AWS). BlueData EPIC on AWS delivers ultimate flexibility and choice for Big Data environments, enterprise-class security and cost controls for multi-tenant deployments, as well as the ability to tap into both Amazon S3 and on-premises storage.