Internet of Things (IoT) Analytics
The IoT analytics topic section offers comprehensive resources for those deploying complex, high-velocity data back ends for Internet of Things products and shops. Learn the advantages and disadvantages of various analytic approaches such as behavioral, predictive and security analytics. Find guidance on IoT-specific uses of Hadoop and other NoSQL DBMS environments.
New Trend in IoT: Digital Twin Tech
Digital twin tech, or a virtual representation of a product, is a critical concept in IoT that’s still being sorted out. Explore its benefits to IoT, 7 use cases and why it’s important for manufacturing’s future.
Internet of Things (IoT) Analytics News
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April 17, 2019
17
Apr'19
IoT device monitoring added to Nyansa Voyance
Nyansa has added IoT traffic analytics to its network monitoring software. The latest version of Nyansa Voyance monitors the activity of IoT devices in healthcare and retail.
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April 02, 2019
02
Apr'19
Aruba ClearPass Device Insight IDs more IoT devices
Aruba ClearPass Device Insight discovers more IoT devices on the IP network than the company's previous product. The software collects better data from the network to ID hardware.
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November 29, 2018
29
Nov'18
Deep learning in big data analytics with Sisense Hunch
Sisense Hunch, a new Sisense BI tool, enables big data analytics for IoT devices by using deep learning to automatically extract insights from big data.
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May 31, 2018
31
May'18
The five biggest takeaways from IoT's biggest show of the year
Splunk's Erick Dean offers his five biggest takeaways from the 'World's Largest Industrial Fair" -- Hannover Messe, from machine data's impact to the need for smart analytics.
Internet of Things (IoT) Analytics Get Started
Bring yourself up to speed with our introductory content
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Remote connectivity for edge computing in IoT
The rise of edge computing means having reliable remote connectivity is more urgent than ever. Organizations must understand how edge computing will process the expanding data pools created by ... Continue Reading
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5 tips to structure IoT systems for insights
Without a solid foundation for an IoT deployment, organizations won't be able to extract the valuable data that leads to actionable insights to ensure business success. Continue Reading
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Why AI is critical for an IoT breakthrough
The number of connected devices continues to grow, and so do notification systems. Without AI, businesses and users miss out on critical operational insights they can gather from IoT data alerts. Continue Reading
Evaluate Internet of Things (IoT) Analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Prepare your network for IoT data challenges
The surge of data created by IoT devices can lead to higher latency and a larger attack surface. How do you plan an IoT network that can handle these challenges? Continue Reading
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IoT network architecture shaped by business requirements
A network architecture for IoT combines layers of technology -- including embedded sensors and core service layers -- that are critical to the success of an IoT deployment. Continue Reading
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What results are being achieved with connected RPA?
Blue Prism's Chief Evangelist, Pat Geary, explores connected RPA and how organizations use it to generate effective full-time equivalent savings and more productive work environments. Continue Reading
Manage Internet of Things (IoT) Analytics
Learn to apply best practices and optimize your operations.
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3 E's of AI: Creating explainable AI
Organizations can use blockchain and explainable latent features to make AI understandable and push ethical, highly predictive AI technology into production more quickly. Continue Reading
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IoT technology helps feed the growing world population
As a result of growing population numbers, farmers and food manufacturers are facing a need for increased food production. But IoT tech can help extend the lifecycle of equipment and boost the ... Continue Reading
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IoT, 5G and the need for smart streaming
Data architecture must keep up with the changes that new technologies -- including 5G and IoT -- bring to the edge. Dheeraj Remella explains how smart streaming is essential for data processing. Continue Reading
Problem Solve Internet of Things (IoT) Analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Solve real-time analytics challenges across operational and data lake data
Waves of data can make real-time analysis difficult, but in-memory computing, explains GridGain Systems' Nikita Ivanov, can drive business processes with real-time insights into live and historical ... Continue Reading
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The realities of enterprise data lakes: The hype is over
For the last decade, we have seen an interest expand to an obsession: grab the data, store the data, keep the data. The software industry saw an opportunity to capitalize on this obsession, leading ... Continue Reading
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Limiting bias and inexperience in AI-powered factories of the future
Bias and inexperience can greatly limit the success of AI-powered factories. Petuum's Saranyan Vigraham outlines why and offers tips to reach the full potential of industrial AI systems. Continue Reading