Top 10 Latest Technology Trends 2021

Technology is evolving at such a rapid pace that it is impossible to predict how the next ten years will turn out. On top of that, the pandemic has accelerated the need for increased digitization and automation. At the heart of this technological advancement is innovation, engineering and agility. Businesses that do not keep up with the latest technological trends will find it hard to meet the expectations of its customers.  

Let us look at the top 10 latest technology trends that will gather steam in 2021: 

#1 Robotic Process Automation: 

RPA automates business processes such as repetitive tasks, standardized jobs, dealing with data, even responding to emails, and so on. Just like us, the RPA robots have the ability to understand what’s there on a screen, navigate the various systems, complete the right keystrokes, extract data, and even perform a wide array of predefined actions. It results in increased scope for data collection, reduced workload, better business results, faster service, and so on.  

#2 Virtual office: 

Thanks to the pandemic, most of the technology organizations have learned how to make their employees work from home. Digital workspaces will be the ‘new normal’ where you can work together, wave to one another, or even have a virtual water cooler conversation without having to leave the comforts of your home. Many tech giants have also announced that they are looking at ‘permanent WFH’ setups. 

#3 Telehealth: 

While most of the biggest advancements in the medical field came because of technology, there is a bit of resistance even now. The pandemic has shown us how pivotal technology is for the medical field. Telehealth is the distribution of health-related services with the help of technology to patients who are seeking care without having to get out of their homes. Mobile health apps, live video conferencing, remote patient monitoring, etc., are examples of telehealth services. 

#4 AI-generated content: 

If you have heard of ‘deep fakes’, then you know what we are talking about. These are generative models which use training data to learn patterns to generate data which looks similar to the original input. While this technology is only being used right now for entertainment value, as time progresses, you will soon see its applications that will have real-world implications.   

#5 Internet of Behaviours (IoB):  

IoB is all about using data to change behaviours. It gathers data from different sources and uses this piece of information to influence user behaviour with the help of feedback loops. For example, a taxi service can monitor driver behavior, such as the speed at which they drive, aggressive turns, sudden breaks, etc. Using this data, the performance of the driver can be assessed and adequate steps can be taken.  

#6 Distributed cloud: 

In this, cloud services are distributed to various physical locations, but the entire operations and governance is handled by the public cloud provider. When organizations have these services physically closer, it helps with low-latency scenarios, mitigates data costs, and it also allows you to be accommodating of the local laws.  

#7 Edge Computing: 

It is a new technology which allows for low latency and high-speed data processing. Edge Computing allows organizations to carry out computations closer to data storage systems thereby improving the performance of the application. The objective of edge computing is to run fewer processes in the cloud and transform them to an edge server or the user’s computer. Since it increases the process speed, it lets you handle time-sensitive data that is stored in remote areas and has minimal access to the central location. 

#8 Human Augmentation: 

Human Augmentation is a broad term which is all about innovations which seek to improve human abilities and productivity. AR lenses, RFID tags, prosthetics, etc., are examples of human augmentation. It can help in the enhancement of human cognition and action abilities. You can accomplish it by sensing, actuation technology, AI, fusion and fission.  

#9 Intelligent composable business: 

An intelligent composable business is one which can adapt and rearrange itself based on the current situation. Businesses are investing in digital transformation because they want to make quick business decisions that can be made with the data that is already available. To achieve this, businesses should have access to information, enhance it by gathering more insights and respond quickly. This will help businesses to make decisions without having to always wait for a “Go ahead” from the leadership team.  

 #10 Hyper Automation: 

It is the principle that anything which can be automated in an organization should be automated. There are a lot of organizations which use legacy processes that are pulling them down. These processes create a lot of issues and are also immensely expensive just to maintain them. Advanced technologies such as Artificial Intelligence, Machine Learning, RPA, Natural Language Processing, Process Mining, etc., are applied to leverage the maximum potential for an automated enterprise.  

 Conclusion: 

Many organizations are guilty of using technologies that have limited applications. They are usually not lean or optimized specifically for the business. You need to accelerate the use of technologies in your organization to be agile and efficient. If you don’t invest in the latest technologies that are taking the world by storm, you might be left behind by your competitors.  

 At Zuci, we help you with everything from personalizing your digital experience to Business Intelligence services. You can expect to work with some of the best technology minds when you partner with us.