Technology is one of the most rapidly expanding fields in the world. These days, if you are not implementing up-to-date technology within your company, you are at risk of falling behind your competition. New technology trends reveal every year; what can we expect from business technology in 2022?
Companies such as TechQuarters, a London IT Support and managed services company in the UK, keep a close eye on the developing tech trends because they the kinds of things their customers could benefit from. TechQuarters gave us a rundown on some of the top tech trends we can expect to see in 2022.
The sheer amount of data produced every second can prove a precious resource for businesses to use. Within all those terabytes of data are patterns and insights that can be extracted if you arrange that data correctly. Unfortunately, this is a Herculean task – more often than not, the data can appear meaningless to the average person and take a very long time to process and analyze manually.
Businesses can use Artificial Intelligence to process and analyze vast amounts of data in a concise amount of time compared with the manual approach – this makes it much easier for users to interpret that data and use it to their advantage. Using data in this way is known as Business Intelligence, and it is becoming more and more commonplace for businesses to utilize it as the technology becomes easier to access.
Internet of Things (IoT)
The number of physical objects, groups, and environments embedded with sensors and connected to the internet is growing all the time – these are known as IoT devices; each one has an IP address assigned to it, enabling it to exchange data with other similar devices and systems.
The benefit of these devices is that it allows one to collect very up-to-date data remotely. For example, a factory could produce a stream of real-time data from the machinery it uses, allowing the business operating it to predict when their machinery is likely to experience faults. Similar solutions are used in IT support; incorporating IoT devices into a business’ network infrastructure can help monitor it day and night and ensure timely support when faults arise.
IoT devices have a wide range of applications, and they are becoming more easily accessible and operatable all the time. Therefore, it seems highly likely that in 2022, more and more businesses will begin utilizing IoT devices.
One of the challenges of IoT technology is that they generally work by connecting to a Cloud Computing platform – this gives rise to latency issues, as sending data to be processed and stored long distances away can be a hindrance to time-sensitive IoT devices; one prominent example is self-driving cars which contain all kinds of sensors that need to have incredibly low latency.
The solution to these problems is with Edge computing. Pioneered by Cloud providers, Edge computing is a new form of distributed computing, similar to the Cloud, bringing computation and data storage closer to the source of data. For example, an IoT device that utilizes Edge computing will have some capacity for computation and data storage built into it and be connected to a Cloud destination. The IoT device would be considered the edge of the network, as it is at the closest point to the user.
Edge computing means data can be stored and processed quickly after it is produced, rather than relying on that data being sent over a network to the Cloud to be processed and stored.
This technology goes hand-in-hand with IoT technology, which relies heavily on low-latency data transfer. But it also has wider benefits, as the implementation of Edge computing can drastically lower a network’s bandwidth requirements and make transfer speeds much faster.
This term refers to the ability to automate many tasks all at once. Automation relies on setting out rules for a computer to follow, enabling it to carry out tasks when the right triggers are initiated. This can save a lot of time for a business because menial tasks can be delegated to a computer capable of automating them.
As time has gone on, the number of tasks automatically carried out simultaneously or in quick succession has increased dramatically. Nowadays, we can string several automated tasks together into an automatic process. With the help of AI, we can even automate the process of automating processes – and this is what we call hyper-automation.
This is a giant leap in efficiency for distributing and executing software across a range of infrastructures. Containerisation refers to packaging up software code and any dependencies it may have. A container of software can then be distributed to multiple infrastructures, and users can be assured that it will run correctly and consistently across all those infrastructures. It is a perfect companion to virtualization technology.
There are many possibilities for this technology. For instance, whole applications can be containerized, allowing businesses to host them in the Cloud and distribute them to end-users. This would prove a much more efficient way of hosting and distributing apps than the traditional VM approach.