Signal Edge Corporation announces its completion of Phase 1 of its corporate mission. “Our first order of business was to develop a cost-effective solution for processing remote IoT sensory data across the network in real-time. Millions of sensors producing data every few seconds creates an enormous strain on the infrastructure requiring very expensive network and computer upgrades which dramatically increases the costs.” Says Signal Edge’s President, Ray Blankenheim.

“We knew the only way around this problem was to employ an advanced form of AI that mimics the brain’s algorithmic process. The human brain processes enormous amounts of sensory data in real-time using less than 20 watts of power. Our goal was to translate that level of efficiency into the network data process. Signal Edge has successfully duplicated the quantum algorithm using an inexpensive mini network appliance running on top of industry network protocols and compatible with existing data standards. Not some expensive edge server or futuristic AI neural network. Just a simple box with plug-in efficiency that sends the same the data using just a fraction of the resources. The ultimate Green Process.”

While considering that growth from IoT sensors networks will create billions of sensor signals that need to be locally and remotely processed on a moment-by-moment basis, the enormous ever-increasing need for real-time digitalization is pervasive. For instance, from:

• Our Energy - Large Oil Refineries produce billions of sensor readings that need to be remotely monitored generating 1TB of raw data per day.
• Our Power Grids - California’s PG&E needs to monitor some ten million remote meters, assets/SCADA reporting systems and weather, foliage, wildlife data sources.
• Our Minerals - Mining Operations run millions of personnel, environmental, asset and machine sensors on a daily basis.

“We are facing an ever-increasing need for real-time situational awareness from the field to Corporate digitalization. The need being driven by the critical nature of having to supply, feed, power, keep healthy a planet while facing historically downward profitability.” Says Blankenheim.

There are additional examples of our growing sensor needs in managing our Safety and Health, Agriculture, Government, Military, and Smart City sectors. Unfortunately, the exponential growth of IoT devices has pushed network bandwidth requirements to the limit. Despite improvements in network technology, current data centers cannot guarantee acceptable transfer rates across the Cloud. The result is escalating costs, slower response times, reduced functionality, low scalability, high failure rates, and eventually system overload (crash). Technology barriers where industry has not gained real-time access to field IoT data has led to many of our CFO’s questioning whether current IoT implementation and operation costs outweigh benefits.

“In contrast, to increase the efficiency of existing infrastructure, we have been able to insert the Brain’s algorithm into the IoT data transmission process”, says Signal Edge’s CTO, David Edgar. “Our Bytewise^IoT network bridges act as neural components synchronizing sensor input using the brain’s high efficiency quantum state model. The result is the reduction of 99.9% of IoT network frames. Customers can eliminate most of their internet transmission requirements, free up network capacity, and accelerate data transmission to real-time. All for a fraction of the cost of an upgrade.”

For further info on how our AI neural algorithm powers green real-time oversight over millions of sensors, please see Signal Edge is Supercharging AI and IoT Technology with the Brain’s Subconscious Formula.. Further detail is also available on how digitalization and IoT challenges can now be overcome.

Signal Edge Corporation is a manufacturer of low-power consuming electronic communication devices. Our ByteWise^IoT product is offered as a moderately priced, miniature, router plug-in network bridge, or router, that runs in conjunction with popular established communication protocols. Our patent pending Artificial Subconscious Intelligence (ASI) technology pre-processes data just before and after transmissions to the Cloud reducing network requirements resulting in large IoT operational cost savings and radical increases in infrastructure capacity.