The rise of automation, artificial intelligence, and machine learning have led to an increase in large scale IoT (Internet of Things) requirements. The IoT uses big data, or massive amounts of data collected and analyzed, to understand processes and applications for automation.
Trying to manage the computing resources required and the storage space for big data is a challenge for any company using its own servers. The sheer volume of data point collected, and the resources needed to manage the data analysis would make it cost-prohibitive for medium to large scale IoT requirements.
Unlimited Storage Capacity
The structure of cloud computing is a natural match for the data storage requirements of IoT solutions. With the ability to store the amount of data per second collected by all IoT devices in a company, the cloud has the ability to expand to provide the storage necessary.
Thanks to the ability to create hybrid or multi-clouds or to use a public cloud, businesses have the opportunity to continue to collect data and run the analysis while also having the computing resources and capacity to do the day-to-day work.
Reducing the Cost of Implementing Automation
Choosing cloud computing to house IoT solutions is cost-effective for any business. Once the networks are configured and operating, on-site hardware and infrastructure costs decrease, while the cost of cloud storage and computing stays low.
At the same time, the business can deploy the in-house IT team to manage the necessary operations while choosing backup, disaster recovery, and even security as a service through the cloud computing provider.
The cloud-based IoT solutions offered at Web Werks help any company to move to large scale automation. To find out more, see us at www.webwerks.in.
