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Data Privacy and Blockchain in the Age of IoT

In this contributed article, freelance human Avery Phillips discusses how transparency is a foundation of blockchain technology, and one of its greatest assets when it comes to the healthcare industry and HIPAA compliance. This is where blockchain, big data, and IoT collide — big data analytics requires quality, accurate input.

AI’s Role in Unleashing Intelligent Sensing

The rise of artificial intelligence (AI) is unlocking a wave of new sensor applications and driving market demand for intelligent sensing – the ability to extract insights from sensor data. To guide innovation and investment in this fast-evolving market, the team at Lux Research, a leading provider of tech-enabled research and advisory services for technology innovation, took a deep dive into how and where enhanced AI analytics are rapidly improving the capabilities of software-defined sensors.

NVIDIA Launches Edge Computing Platform to Bring Real-Time AI to Global Industries

NVIDIA announced NVIDIA EGX, an accelerated computing platform that enables companies to perform low-latency AI at the edge — to perceive, understand and act in real time on continuous streaming data between 5G base stations, warehouses, retail stores, factories and beyond. NVIDIA EGX was created to meet the growing demand to perform instantaneous, high-throughput AI at the edge — where data is created – with guaranteed response times, while reducing the amount of data that must be sent to the cloud.

Data Monetization: The Further Away Your Data, the More Distant Your Profits

In this contributed article, Steve Todd, a software engineer and inventor for Dell EMC, discusses the steps necessary to avoid crippling data taxation in order to further the journey to the Holy Grail of digital business. He also outlines how the use of open-source and vendor-neutral data management technologies reduce taxes, keep IoT data local and maximize its value.

Arcadia Data Breaks the Geospatial Analyses Barrier for IoT and Big Data

Arcadia Data, provider of the visual analytics software native to Apache™ Hadoop® and the cloud, today announced it has integrated the Mapbox GL vector mapping technology, enabling more granular visual geospatial analytics on data of a global scale, necessary for use cases such as IoT analytics, climate analysis, disease tracking, and car and fleet tracking. The integration delivers the power of advanced geospatial analytics capabilities in an easy-to-use, fully-featured business intelligence (BI) platform architected for data lakes and for all users.

Medical Device Security: Ensuring Data Integrity

In this contributed article, technology writer and blogger Kayla Matthews suggests that one of the best ways to make healthcare smarter, more accurate and more engaging is by gathering data on a huge scale and then using it to gather insights into individual patient conditions as well as the effectiveness of treatments over a much broader scale.

Sisense Hunch Turns IoT Devices Into Supercomputers

Sisense, disrupting the BI market by simplifying business analytics for complex data, announced the launch of the patent-pending Sisense Hunch Data Cognition Engine (“Sisense Hunch”) from Sisense Labs. Sisense Hunch ‘learns’ massive data sets and can produce microsecond analytical responses to queries that are 99 percent accurate or better, with a tiny fraction of the cost and storage footprint.

Terbine Launches Blockchain-enabled IoT Data Exchange To Accelerate Information Sharing and Monetization

Terbine announced the IoT Data Exchange, designed to radically increase the rate of adoption for sharing of machine-generated data between companies, public agencies and academic institutions.

The Open Edge Architecture Imperative

In this contributed article, Roman Shapshnik, Co-Founder and VP of Product & Strategy at ZEDEDA, outlines the path forward for edge computing—where regardless of hardware, developers can create applications to run uniformly on the edge. Constricting the architecture to keep control only works in the short term.

IoT Feeds Data Stream to AI Application Converge for Real-time, Sideline Insights

In this contributed article, Jason Mann, Vice President of Internet of Things (IoT) at SAS, discusses how IoT creates enormous streaming data volumes, much of it unused or lost. Data lost is opportunity missed. The key to unlocking the value of IoT data is with AI applications that self-learn and automate actions. AI applications – created with analytics and using real-time IoT data – can reveal new business opportunities long before the competition wakes up.