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Narrowband IoT for the Future

Narrowband IoT for the Future

NB-IoT has been optimized for use in IIOT applications like smart metering and the smart grid because it provides a robust coverage and high scalability. As billions of devices connect with the internet, a big issue in the next decade will be to reduce data flow...

Data Transmission and Storage Trends

Data Transmission and Storage Trends

Contemporary computing and communications are best characterized by exponential growth. Growth in numbers of computers, smart mobile devices, data created, and data transmitted. By 2025, it is expected that there will be over 50 billion IoT (Internet of Things)...

Limitations of Compression Algorithms

Limitations of Compression Algorithms

Compression algorithms have been around for decades. They are a useful tool for data reduction in certain situations. However, these algorithms come with considerable limitations when applied to IoT applications and Cloud storage. Compression algorithm limitations...

AtomBeam Outshines Compression for IoT Data

AtomBeam Outshines Compression for IoT Data

AtomBeam has performed extensive testing of IoT data for various data types. In each case, the AI-based AtomBeam software beats complex compression algorithms (such as zlib). IoT sensor data is 1) highly structured, 2) uses limited bandwidth network with low power...

About Atombeam, in a Nutshell

About Atombeam, in a Nutshell

AtomBeam is a cutting-edge new AI driven data reduction technique to significantly decrease the volume of data (the number of individual bits needed to store data) required for storage and transmission. Wait, isn’t that just compression? No, AtomBeam uses a...