Optimizing Networks to Resolve IoT and Edge Challenges
It’s predicted that there will be more than 41 billion IoT devices in use by 2027. This is up from an already staggering 8 billion just two years ago. Why the unbelievable exponential growth? In large part because these devices are turning out to be incredibly useful for businesses, automating and streamlining processes in every industry. However, all of that automation comes with an enormous volume of data, and trying to collect and analyze that data, then transforming it into actionable information, isn’t always easy.
Enter edge-computing (EC) platforms.
These platforms aim to remedy the pain points felt by businesses who are sending all of their IoT data to the cloud. The cloud process can be slow, inefficient, and costly, none of which helps businesses optimize and get ahead.
Edge-computing platforms, or edge analytics, on the other hand, are situated near IoT devices, making it possible for them to collect and analyze data where it originates. This ensures that businesses can use the analytics in near real-time, which is the timeframe you want to be working with when it comes to improving operational efficiency and planning predictive-maintenance upgrades.