Summon Your Hive.
Summon Your Hive.
But at Hivecell, we’re not trying to save the entire world just yet.
We’ve chosen to focus on five primary verticals - each one is materially distributed, shares costly latency and bandwidth issues, and, most importantly, will be spending a greater percentage of their IT wallet over the next 18-24 months on deploying AI and ML than anyone else, according to Gartner.
The power grid is fueled by operations almost entirely in remote locations. And today’s oil drills are smarter than ever, allowing for self-driving drills and preventative maintenance. With Hivecell you can gather all this data and run computational (ML) models on-site, without connectivity.
Edge Computing Exigencies
Edge Computing Exigencies
Retails stores and quick service restaraunts routinely operate at scale - processing hundreds of thousands of transactions per day, if not more. Additionally, security cameras and company communications constantly generate data that must be managed and acted on.
Edge Computing Exigencies
Edge Computing Exigencies
Today, factories work fast and in real-time. Additionally, the machines on today’s factory floors are highly intelligent, and as such, compute power needs to be close by, on-site, capable of allowing for predictive maintenance and the elimination of downtime.
Edge Computing Exigencies
Edge Computing Exigencies
Logistics runs on data. Navigation, cargo inventory, ship/vehicle maintenance, communications, fuel needs, etc. Especially with ocean cargo ships, there are thousands and thousands of sensors generating data to keep the operation afloat. This makes for an extremely valuable application of edge computing.
Edge Computing Exigencies
Edge Computing Exigencies
Modern communication runs almost entirely remotely. Think cell towers and satellites. The need for edge computing in these environments is growing faster than ever, especially with the full rollout of 5G technology, which generates a vast amount of data.
Edge Computing Exigencies
Edge Computing Exigencies
