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.

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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.

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Internet of Things (IoT) Analytics News

December 23, 2019 23 Dec'19
Connected medical devices experts highlight IoT remote monitoring

Medical technology manufacturers were one of the early adopters of IIoT, but that doesn't mean manufacturers know how to get started with IoT remote monitoring.
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.
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.
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.

Internet of Things (IoT) Analytics Get Started

Bring yourself up to speed with our introductory content

smart city

A smart city is a municipality that uses information and communication technologies (ICT) to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare. Continue Reading
TinyML accelerates the shift to modern edge data management

TinyML can help target low power IoT applications and determine when to power up or power down more complex, power hungry devices. Continue Reading
IoT edge cloud balances the best of cloud and edge computing

Organizations are shifting IoT deployments from cloud computing to edge computing, but a newer option -- the edge cloud -- has emerged to bring the cloud to the edge. Continue Reading

Evaluate Internet of Things (IoT) Analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

7 IoT SaaS platform providers help streamline adoption

IoT SaaS providers help simplify the complexity and expense of deploying IoT by offering platforms with features such as scalability, real-time data capture and machine learning. Continue Reading
Fog nodes simplify edge vs. cloud computing choice

The demanding architecture of IoT has many organizations wondering how best to distribute their resources in the cloud or at the edge, and how fog nodes fit into the equation. Continue Reading
Just-in-time anomaly detection for IoT security in the age of 5G

Anomaly detection is changing standards for security across industries. Organizations that rely on 5G will benefit from anomaly detection’s ability to improve productivity and operational efficiencies. Continue Reading

Manage Internet of Things (IoT) Analytics

Learn to apply best practices and optimize your operations.

IoT, AI and 83 problems, part 2: Context is key

Once an organization has solved the technical problem of gathering data, the next priority is ensuring the relationships between data and the underlying physical world are not lost. Continue Reading
Why organizations need IoT data scientists on their team

IoT is ratcheting up the stakes and creating new ways to use data, making IoT data scientists a necessity for organizations to maintain a competitive edge. Continue Reading
What IT pros should consider when building applications for IoT

Digital integration hub architectures and hybrid transaction/analytical processing powered by an in-memory computing platform can help organizations implement real-time IoT use cases and support ... 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.

IoT, AI and 83 problems

IoT and AI can offer a solution to the 80/20 dilemma in software, but companies must be willing to understand the context of IoT data and instill processes to better utilize their time and effort. Continue Reading
How to ensure RPA delivers

Businesses that choose the wrong brand of RPA can limit the scale and potential of automation. To realize RPA's benefits, such as greater accuracy and productivity, they must consider are few key ... Continue Reading
Tackling the challenge of IoT software updates

As IoT devices continue to grow in numbers, improving IoT software updates is a topic that the IoT industry will increasingly be talking about as its looks to improve functionality and security. Continue Reading