AtomBeam ?Compaction? Software Uses AI/ML to Reduce IoT Data Footprint by 75 percent
October 17, 2019
This can result in bandwidth increases of 3 to 5x and networking, cloud, and hardware cost reductions of 30 to 70 percent.
AtomBeam has released a data compaction software that reduces the size of data transmissions by a reported 70 to 80 percent with little to no latency. This can result in bandwidth increases of 3 to 5x and networking, cloud, and hardware cost reductions of 30 to 70 percent.
Using AI and machine learning technology, AtomBeam compacts duplicate and extraneous data common in IoT networks. Aside from the benefits mentioned above, this code reduction helps improve security (less attack surface), provided battery usage reductions of 25 percent, and has supposedly enabled cellular and LPWAN service providers to double transmission ranges.
For more information, visit AtomBeam at atombeamtech.com or at Mobile World Congress Los Angeles.