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Top 10 New Technology Trends for 2022-23
Updated: Aug 20, 2023
Technology is evolving all the time. What exciting developments in the coming years can we expect to see? Looking at future Technics and imagining the possibilities makes this technology age more exciting.The future is always fascinating and there is no question that the basic idea of digital transformation will be a reality with innovation growing at a tremendous rate of growth. not only technology trends and top technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contact less world tomorrow. Technology-based professions are not shifting at the same pace, but they are growing, and the experienced IT professional knows that his or her job is not going to remain the same.What does that mean to you? This means staying up to date with developments in technology. And that means keeping your eyes on the future, understanding what skills you need to learn and what kinds of jobs you want to be able to do.
here are the top 10 new technology trends you should watch for and make an attempt at in 2023, and possibly secure one of the jobs that will be created by these new technology trends.
1- Internet of Things (IOT)-There is no doubt in the world of science and technology that people choose the internet as a mode of communication. It is one of those reasons that are responsible for bringing in a fraction of seconds or sometimes minutes millions of people together. IoT will soon establish a strong foothold for all of us in the near future, and our lives will be completely transformed. It will connect each object to the internet in some way or the other.
The Internet of Things is the future, and has already enabled devices, home appliances, cars and much more to be connected to and exchange data over the Internet. In simple IOT Working Defination -IoT devices contain sensors and mini-computer processors that act on the data collected by the sensors via machine learning. ... Machine learning is when computers learn in a similar way to humans — by collecting data from their surroundings — and it is what makes IoT devices smart.
The use of IoT can enable better safety, efficiency and decision-making for businesses as data is collected and analyzed. It can enable predictive maintenance, speed up medical care, improve customer service, and offer benefits we haven’t even imagined yet.That doesn’t mean your smart speaker will discuss the key points of last night’s big game with you. But your connected refrigerator may send you an alert on your smartphone that you’re low on eggs and milk because it knows you’re near a supermarket.
And if you wish to step foot in this trending technology, you will have to learn about Information security, AI and machine learning fundamentals, networking, hardware interfacing, data analytics, automation, understanding of embedded systems, and must have device and design knowledge.
2-Cyber Security- is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. ... Application security focuses on keeping software and devices free of threats. A compromised application could provide access to the data its designed to protect.It’s also in part because new technology is being adapted to enhance security.
As long as we have hackers, cybersecurity will remain a trending technology because it will constantly evolve to defend against those hackers.As businesses and governments alike are going digital, cybersecurity is a fast-growing and inevitable need. The number of cybersecurity workers is rising three times faster than other tech jobs as evidence of the strong need for cybersecurity professionals.
You must note that however challenging the field is it also offers lucrative six-figure incomes, and roles can range from Ethical Hacker ,Malware Analyst,Security Engineer Chief Security Officer
offering a promising career path for someone who wants to get into and stick with this evergreen trending technology.
3-Robotic Automation -Robotic process automation (or RPA) is a form of business process automation technology based on metaphorical software robots (bots) or on artificial intelligence (AI)/digital workers.[1] It is sometimes referred to as software robotics (not to be confused with robot software).
In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application's graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose.For you as an IT professional looking to the future and trying to understand new technology trends, RPA offers plenty of career opportunities, including developer, project manager, business analyst, solution architect, and consultant. And these jobs pay well. An RPA developer can earn over Approx ₹500K per year - making it the next technology trend you must keep a watch on!
RPA actual deployment
1-Banking and Finance Process Automation
2-Mortgage and Lending Process
3-Customer Care Automation
4-eCommerce Merchandising Operation
5-OCR Application
6-Data Extraction Process
7-Fixed automation process
4-5G-By the time of 2022-23, the whole world, as well as nations, would be under the spell of lightning-fast internet connection. Plus, don’t forget about all the benefits that are attached to it. There is no doubt that the 5G network will soon find its place in the technology market. It will also bring a huge amount of benefits, such as high internet speed, higher capacity, and lower latency. Such benefits are bound to make it one of the major technological trends to be observed in 2023 and even in the years to come.
New networks will continue to light up around the world, devices will become more widely available (including those with advanced 5G bandwidth cameras) and businesses will continue to demonstrate new industrial, automotive, medical and educational use cases. The latest estimates point to 2023 as the year in which completely integrated 5G networks will start to reach the market and offer unimaginable coverage rates.
5-BlockChain-Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the
blockchain. But as a name Blockchain most people think of blockchain technology in relation to cryptocurrencies such as Bitcoin, blockchain offers security that is useful in many other ways.
Several industries are involving and implementing blockchain, and as the use of blockchain technology increases, so too does the demand for skilled professionals. From a birds eye view, a blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology.
The average yearly salary of a blockchain developer is ₹469K.
If you are intrigued by Blockchain and its applications and want to make your career in this trending technology, then this is the right time to start. To get into Blockchain, you need to have hands-on experience of programming languages, the fundamentals of OOPS, flat and relational databases, data structures, web app development, and networking.
Mastering blockchain can help you scale up in a variety of fields and industries:
Risk Analyst
Tech Architect
Crypto Community Manager
Front End Engineer
06-Machine Learning-Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
Machine Learning is divided into four different types; they are:
1-Supervised learning
2-Unsupervised learning
3-Semi-supervised learning
4-Reinforcement learning
Uses of Machine Learning in our day-to-day lives include:
1-Social media services
2-Email spam and malware filtering
3-Online customer support
4-Online fraud detection
5-Search engine result refining
7-DevOps-‘DevOps’ is an enterprise software development phrase, which has emerged from the terms ‘Development’ and ‘Operations’ of the software development life cycle (SDLC) and is a part of the Cloud technology. As the name suggests, DevOps encourages collaboration, communication, automation, and integration among the IT operations team and the developers to improve the quality and speed of delivering software. It is considered the offspring of the agile software development method.
Benefits of DevOps, a trending technology, are mentioned below:
1-Reliability
2-Scaling power
3-Rapid development
4-Fast delivery
5-Security
8-Distributed Cloud-much like its name suggests, it’s a cloud architecture in which the services of a public cloud are distributed to external locations, but the original public cloud provider remains responsible for delivery, architecture, operations, and updates related to the cloud. Distributed Cloud was the seventh trend in Gartner’s top technology trends for 2020 list. Gartner defines it as an evolution from centralized public cloud to a distributed public cloud.
“By 2024, most cloud service platforms will provide at least some distributed cloud services that execute at the point of need.”- Gartner.
A distributed cloud architecture allows data centers to be located anywhere; it eliminates organizational challenges related to data compliance and latency. This all-new approach to the cloud will help organizations manage all distributed components – apps and data across multiple clouds, legacy datacenters, as well as the infrastructure that supports them – through one logical cloud.
Major cloud providers have already picked up the pace by launching their distributed cloud solutions like AWS Outposts, Microsoft Azure Stack, and Google Anthos. All these solutions offer a single pane of control to operate both public and on-premise environments.
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