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Top IT Trends
Top IT Trends As Per Current Market
After facing the year that upended life and business as we knew it in 2020, 2021 was a year of pivoting and picking up the pieces of what the pandemic left behind. However, it was not business as usual, as organisations and workers discovered that many pre-pandemic systems would never be the same again.
Looking ahead to 2022, there are a number of trends that have emerged as a result of the pandemic, as well as some that have persisted. These include remote work, cloud computing, and new cybersecurity measures.
How can IT professionals keep up with everything? How do businesses distinguish between buzzwords and long-term changes that will drastically alter business processes and industry standards? We’ve compiled a list of the top current market technology trends that are sure to be on the minds and priority lists of industry leaders.
Hyper Automation
Hyper Automation is not a new concept; in fact, it was named one of the top trends of 2021. What hasn’t changed about hyper automation is its adoption and evolution.
“We’ve seen tremendous demand for automating repetitive manual processes and tasks, so robotic process automation was the star technology that companies were focusing on to do that,” said Brian Burke, research vice president at Gartner.
“That has been happening for a few years, but what we’re seeing now is a shift from task-based automation to process-based automation, which means automating a number of tasks within a process, to functional automation across multiple processes, and even to automation at the business ecosystem level.” As we move forward with hyperautomation, the breadth of automation has really expanded.”
In current days, hyperautomation will combine technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) to process information more effectively, improving quality and increasing overall productivity. Hyperautomation will also provide real-time, continuous intelligence as well as improved analytics to improve operations and processes.
Anytime, anywhere operations
One thing is certain over the last few years: the way we work has forever changed. When COVID-19 required up to two-thirds of employees in the United States to work remotely, IT professionals witnessed a dramatic shift.
Although these figures are declining, a sizable proportion of employees continue to work from home. As a result, organisations will need to implement technologies that allow for seamless collaboration regardless of location. Input: anywhere operations.
Anywhere operations is an IT operating model that includes:
- Allows employees to work from any location.
- Provides assistance in the deployment of business services across a distributed infrastructure.
- Customers will benefit greatly from the fact that it works well with mobile devices.
Whether services must be available on a desktop computer, tablet, mobile phone, or other device, large corporations are catching on to the services they must adopt or offer.
The opportunities for organisations are limitless, with required technologies ranging from intelligent cameras and AI-enabled collaboration systems for conference calls to entire platforms of software and infrastructure ecosystems that provide teams with a digital headquarters.
5G
The growing demand for high-speed internet and smart home and city systems has accelerated the development and adoption of 5G technologies for businesses. Although 5G has been long anticipated, it was not until 2021 that the most recent cellular technology became widely available.
In 2022, both large corporations and small start-ups will begin to develop innovative infrastructures and applications in order to:
- Boost employee productivity
- Improve the customer experience
- Make new jobs.
- Assist with mission-critical communications
- Provide numerous IoT opportunities
Because of its dependability and performance, 5G is quickly becoming the network of choice for forward-thinking businesses. In fact, the Global 5G Infrastructure Market was valued at USD 1179.2 million in 2021 and is expected to reach USD 131.40 billion by 2030, growing at a CAGR of 68.83% between 2021 and 2030. Enterprise adoption is just getting started, with reports predicting that 5G will drive long-term secular growth.
Hybrid cloud
While the cloud is by no means an innovative trend, simply using it is no longer sufficient. Businesses must evolve and use various types of clouds to reap the greatest benefits. As organisations face data access and security challenges, 2022 will be the year of the hybrid cloud, with vendors competing for the ideal mix of public and private clouds.
According to the findings of the 2021 Accelerate State of DevOps survey, teams using hybrid or multi-cloud software deployments were 1.6 times more likely to meet organisational performance targets than those using more traditional cloud strategies.
Companies that use multiple public clouds to solve business needs and challenges will become the norm, and as the year progresses, it may even become a requirement. With data being created exponentially faster than ever before, and at the edge, the need to migrate will only increase.
Computation that improves privacy
As global data protection legislation matures, privacy will become increasingly important, highlighting the need for privacy-enhancing computation. Privacy-enhancing computation will protect data in use while also preserving its privacy and secrecy, which is especially important in:
- Use cases for multi-party data analytics
- Untrustworthy environments
According to Burke, the actual number of organisations that will use privacy-enhancing computation is difficult to predict:
“That’s a difficult one to assess because, as we’ve seen over the years, many organisations haven’t paid as much attention to privacy as they should have.” But we believe that what is happening now is that global privacy legislation is finally taking hold.”
And customers are taking notice. With the massive amounts of data that users volunteer to apps and social media sites, questions about what happens to this data and why it is collected are being raised. To achieve the same level of customer experience, organisations will need to find new sources of data and be honest in their management.
AI Engineering
Every day, the world generates approximately 2.5 quintillion bytes of data, and this figure is only increasing at an exponential rate. However, the use of that data is only as good as the systems in place to manage, regulate, and evaluate it. This massive task is nearly impossible for workers to complete manually, so businesses have turned to artificial intelligence (AI).
Despite the fact that AI has been commonplace in the tech world for many years, the concept of AI engineering is proving to be a revolutionary new trend. AI engineering helps organisations better direct their AI projects, as nearly half of them never make it past the prototype stage and into production.
“AI engineering is about providing a kind of engineering discipline, a robust structure that will emphasise having AI projects delivered in a consistent way to ensure that they can scale, move into production, and all of that.” As a result, it is bringing engineering discipline to AI for end-user organisations. When it comes to large vendors, yes, they’ve been delivering successfully for a long time, but end-user organisations need to move beyond the experimental stage with AI and into a robust delivery model,” Burke said.
Creating an explicit AI engineering process that incorporates elements of DevOps, ModelOps, and DataOps will be critical to success. This strong strategy will:
- Assist projects in their development.
- Improve the overall scalability, performance, and reliability of AI models.
- Increase your ROI
Mesh cybersecurity
With more employees working remotely and the cloud becoming the norm, businesses must begin to adopt new approaches to network security. The cybersecurity mesh is a mechanism that will be seen more frequently in the coming year.
Cybersecurity mesh is a distributed architectural approach that provides cyber controls with flexibility, scalability, and reliability. Cybersecurity mesh enables businesses to decouple policy decision making from policy enforcement: a cybersecurity mesh places security perimeters around individuals rather than just the organisation.
Organizations will be better able to protect data and information using this mesh technology, including what’s inside the facility walls as well as everything on the outside.
Edge computing
Edge computing is closely related to IoT—it is the compute power that connects a variety of devices to provide users with a mix of more customizable and personalized services and products. Edge, on the other hand, isn’t just for personal use. Edge computing is expected to improve in the following ways:
- Maintenance that is predicted
- Product and fleet management
- Assistive voice
Current Technology Trends
After COVID-19 changes happened on how businesses operate and how employees work in current days. As the use of digitization and virtualization accelerates, so will the demand for cloud, security, privacy, and automation. True transformation is possible, and these trends will propel many businesses into the technological future.
