Top Seven Technology Trends to Look Out for in 2022 and Beyond
Utsav V. Turray, Head of Product Marketing, Newgen Software Technologies Limited, 0
Here's a list of key technology trends which will shape the technological landscape in 2022 and beyond.
The pandemic made enterprises realize the gaps in their existing processes. As a result, organizations stepped up to increase the speed of their automation efforts and shifted towards hyperautomation.
Hyperautomation is not new, but its scope has expanded. It now includes technologies such as digital process automation (DPA), robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML). As a result, you can leverage hyperautomation to process information in more impactful ways, increasing overall efficiency and productivity. In addition, hyperautomation offers real-time intelligence with improved analytics to further enhance operations and processes.
Just leveraging the cloud is no longer enough. Enterprises have started to utilize different cloud models to gain maximum benefits.
Hybrid cloud will continue to see more traction in the coming year as businesses can gain greater control over their private data through hybrid cloud services. You can choose to store sensitive data either on a private cloud or a local data center and simultaneously leverage the computational resources of a public cloud.
While dealing with an enormous amount of data, organizations have realized the shortcomings of cloud computing. Edge computing helps solve some of the challenges. It enables you to overcome the latency caused by cloud computing and gets data to a data center for processing.
Using edge computing, businesses can process
limited or no connectivity to a centralized location.
4.Low Code Application Development:
Low code development platforms enable business users with limited technical expertise to easily and rapidly develop applications using visual tools.
Technologies which accelerate this trend include low code and DPA platforms, collaborative work management, and citizen developer frameworks, along with DevOps and product-centric development.
As we see accelerated digital adoption, the need for cloud, security, privacy, and automation will increase. These trends are likely to help businesses not only sustain but thrive in the dynamic business ecosystem
AI is gaining a lot of traction. AI combined with ML, deep learning, and neural networks can be a powerful combination.
Further, enterprises can use AI to reduce costs, streamline workflows, improve customer experience, enable more efficient communications through chatbots, increase customer satisfaction, and more.
With employees working remotely and the cloud becoming the norm, businesses must begin adopting new approaches to their network security. This is where cybersecurity mesh comes to the rescue.
Cybersecurity mesh enables you to create security measures based on the device identity rather than proximity to secure connections. It follows a distributed approach rather than defining a perimeter based on network reach.
Total experience involves delivering a unified experience to everyone engaging with your business, from employees to customers.
Low code platforms, DPA, RPA, AI, and ML-driven analytics are some of the technologies responsible for making total experience a top trend.
In the coming year, the pandemic will continue to influence how companies do business and how employees work. As we see accelerated digital adoption, the need for cloud, security, privacy, and automation will increase. These trends are likely to help businesses not only sustain but thrive in the dynamic business ecosystem.