What is Edge Analytics
Managing and analyzing bulk data is not stressful anymore with Edge Analytics! It is a tool that collects, processes, and analyzes data. It is revolutionizing IOT data handling, bringing ease and convenience in the lives of solutions providers.
Not only does this technology helps in saving time, but it even lowers the operational costs. It is due to this reason companies are pondering over the possibility of incorporating analytics edge into their system.
State-of-the-Art Edge Analytics Solution by Folio3
Folio3 brings a state-of-the-art solution for companies and enterprises looking for smart ways to incorporate edge analytics into their systems. With this seamless solution, you can easily preprocess data produced by sensor-rich assets, that too, in real-time!
Custom Software for Edge Devices
We’ll create custom software for your Edge devices such as Smart Cameras, Raspberry Pi and Single Board Computers, NVidia Jetson and more.
AI Deployment on Edge
We’ll deploy machine learning models for real-time processing of data on Edge so that you can make intelligent decisions.
Business Intelligence for Edge Application
We will create interactive dashboard for your Edge Applications that will provide clear picture of the data in an organized and meaningful manner.
Video Edge Analytics
Analyze real-time video streams to draw information that will enable you to unlock the insights and get your hands on the data that you require.
Edge Analytics Tools we have expertise in
With 15+ years of experience working on various technologies, the people at Folio3 are well equipped to handle any requirement of yours
Azure IoT Edge
Intel Analytics Toolkit
Cisco Connected Streaming Analytics
Oracle Edge Analytics
Why choose Edge Analytics Company
By incorporating the perfectly designed edge analytics solution, get ready to streamline the IoT data management and analysis along with other amazing benefits!
Save Your Precious Time
With Folio3’s seamless edge analytics solution, companies can save their precious time. With an analytics edge IoT solution, you can filter out unnecessary information before analysis and make the processing of complex analytical data much more efficient.
Lower the Operational Costs
With the edge analytics in the internet of things, you can significantly lower the data processing and management costs. The solution by Folio3 will minimize the needed bandwidth.
Get a Chance to Innovate
Unlike the conventional ways of collecting data from devices connected to the internet, the Edge analytics solution lets you collect much more data. It enables you to collect data at a larger scale at minimal costs!
Convert Raw Data into Invaluable Insights
Processing of raw data is very time consuming and is exposed to human errors. Folio3 lets you convert the raw data into insightful pieces of information without any hassle. You can act on the insightful data in real-time!
The best thing about Folio3’s outstanding edge analytics solution is that it does not jeopardize the privacy of sensitive data. When devices connected to the internet, collect confidential information such as location, audio, or video, it is preprocessed on site.
Protection against Connectivity Issues
By incorporating the solution in your company or enterprise, you can ensure that none of the internet-connected devices stays unaffected by the limited internet connectivity. It is a perfect solution for companies operating in remote areas.
Industrial Applications of Edge Analytics
The use of analytics edge is serving as a revolutionary tool for all major industries and sectors around the world!
The use of sensors and devices is common in manufacturing companies, and that is why efficient data processing is one of their essential requirements. Edge analytics can significantly help the manufacturing companies reduce their production time and enhance their product quality with manufacturing data analysis and equipment data analytics.
The Retail Sector
The retail industry is one of those sectors that are under the strong influence of technology and make up a significant part of the digitization transformation of the world. They have to provide the best customer service, and edge analytics is one of the tools that is helping them achieve their goals.
Increased productivity and lowering costs are the primary concerns of healthcare organizations. The healthcare costs are escalating rapidly, and that is what is causing these organizations to incorporate seamless edge analytics in the internet of things.
Another sector that can benefit from Folio3’s phenomenal edge analytics solutions is agriculture. Farmers have to manage the bulk of data related to climate and watering equipment that they collect via drones. Edge analytics can improve productivity rates at the farm and even enhance efficiency.
Edge Analytics and IoT
It is safe to say that edge analytics will serve as the future and the ultimate savior of IoT. The current IoT model is outdated and is not providing satisfying results to companies. Edge analytics in the internet of things is revolutionizing the ways companies process their big data. It is a tool that is helping businesses leverage local data, drive local decisions, and enhance their performance!
LET’S TALK ABOUT YOUR PROJECT:
Edge Analytics Services
What is meant by edge computing? Difference between edge computing and edge analytics?
The purpose of edge computing is to lower the required bandwidth use along with the latency. It is the technology which allows bringing computing close to the data source.
Graph analytics vs edge analytics?
Edge analytics is the form of technology which allows easy and accurate collection, processing, and analysis of data gathered by devices connected to the internet. It is rapidly gaining popularity in all major industries of the world.
Graph analytics on the other hand is a tool that companies can use to determine direction and relationship between entities displayed on the graph. The focus of this tool is on pairwise relationship between two elements represented on a graph.
What Are the Limitations of Edge Analytics?
Even though edge analytics is revolutionizing the way companies and enterprises process and analyze the data gathered through internet of things, there are limitations that are holding it back. The complex cloud-based architecture, foggy gateways, and disconnect in the skills are the factors serving as limitations for this technology.