Digital technology is rapidly growing, and information technology (IT) plays a major reason in driving this progress in industries. IT technologies have tended to evolve regularly in the past few years. New and exciting innovations play an important role in making these technologies more challenging.
With such technology, an IT professional needs to stay updated with the latest and ongoing trends. Especially in recent times, when the traditional IT field has changed a lot. IT technologies like blockchain, machine learning, artificial intelligence, and more bring many changes to the tech industry and create a huge impact globally.
These technologies and services have become more popular with applications such as ChatGPT. Professionals need to upskill themselves in these areas. Working knowledge of these IT services will help you stay competitive in the market and progress in your career.
Below are the best upcoming IT technologies to prepare for and try out in 2023.
1. AI and ML-based technologies
AI and ML, the two most renowned technologies, continue growing at a rapid pace. The development of these IT technologies is getting more attention these days. There is no debate that AI and machine learning will be even better in the future.
AI and ML are popular in the IT field. It's fair to say they stay at the top of new techs and services.
Their usage in areas such as automation, image/speech recognition, virtual assistants (Alexa), and more has pushed it more. Sectors such as healthcare benefit from AI in their medical practices and equipment. They can offer better healthcare with more accuracy.
The AI subdivision, machine learning, is also utilised in a wide range of industrial use cases. Robot monitoring, automation specialists, and data scientists are some skilled experts using ML in their daily tasks.
The AI market will reach $407 billion by 2027, according to MarketsandMarkets research. It will show a growth of 36.2% from 2022 to 2027. As AI keeps combining with multiple sectors, the programming, development, maintenance, support, and testing jobs will increase. Students can apply for data science certifications to obtain information and skills.
2. Cybersecurity
Cybersecurity is an important part of IT, even though it is less popular than others. The IT industry faces new threats every day that may lead to a leak of data. Those with cybersecurity skills can help reduce the risks.
As technology keeps changing, it produces new security threats to deal with. The sector needs experts to deal with and adapt to new technologies. They protect against cyber hacking.
The fast growth is proof of the need for risk assessment and management in industries. Most businesses engage in these measures to conduct trade and data exchange.
Some of the different jobs are:
- Ethical Hacker
- Chief Security Officer
- Security Engineer
- Malware Analyst
With high stakes for privacy, companies are ready to invest huge sums of money in their cybersecurity measures. This is the reason they pay better salaries to assist them in keeping their data protected.
Based on a survey by Ambition Box, these professionals make somewhere between Rs.2.0 Lakhs to Rs.17.0 Lakhs. The national average salary is Rs.5.0 Lakhs per annum.
3. Blockchain and Web3 technology
There is always a thought of cryptocurrencies that arises in our mind while thinking of blockchains. But its main use is in providing transactional security. The data present in the blockchain is secure, as we cannot modify or remove it.
It's based on a consensus strategy, which provides a decentralised system. It means control of the data is given to everyone instead of a single party having full control.
This technology does not require the control or validation of a third party. This is the reason many industries are trying to involve blockchain technologies in their IT services. Blockchain developers create and execute the structure and solutions using the technology.
It results in more demand for professionals. On average, a blockchain developer earns Rs. 6-7 lakhs per annum, according toGlassdoor.
Web3, on the other hand, includes cryptocurrencies, blockchains, and NFTs. Web3 commonly refers to the 'new internet,' which is safer and better. As blockchain powers IT, the future seems bright for developers in the web3 environment.
4. Robotic Process Automation (RPA)
RPA is a wide usage of AI and ML for automating simple business processes. These can include performing transactions, answering emails, understanding applications, and handling data. RPA is helpful in a way that it automates routine tasks that employees used to perform.
Although many employees fear automation may replace them, RPA is creating new and better jobs for them. RPA presents many career options:
- Project Manager
- RPA Analyst
- Consultant
- RPA Developer
- RPA Architect
Robotic process automation currently has uses in several industries, including.
Supply chain and logistics: RPA handles daily tasks related to supply chain management. These can be tracking orders, handling items, managing shipments, and moving materials & goods to manage a supply chain.
Customer support: Automation helps customer service become better by managing daily calls, queries, and tasks related to customer service. This helps workers to concentrate on other activities.
Medical: The quality of healthcare and patient care can improve with automation. By handling appointments, records, claims, and more, healthcare workers can provide more services.
5. Internet of Things (IoT)
Almost every industry in recent times has Wi-Fi installed in their infrastructures. This Wi-Fi connection feature helps devices connect remotely with each other and through the internet. IoT is among the rising IT technologies taking over the digital world. Nowadays, everything from vehicles, home kits to smart devices has the internet installed.
Below are some IoT examples:
- Fitbit (a smart band) can help us track our health and fitness.
- Homes have become smart as well. If we fail to lock our doors before leaving, we can access and lock them remotely.
Businesses also benefit from IoT as it allows for better and more secure decision-making. They gather and analyse data using IoT. It might assist in customer service, predictive control, medical care, and other areas.
Many use cases are emerging as IoT grows and expands to new industries. Some of these are:
Smart cities: Using sensors and IoT devices, we can examine or control water and energy management systems for smart cities. This will bring efficiency and power to those cities.
Environment: IoT devices can predict environmental issues to alert the ecosystem of danger. The devices can trace and examine water quality, air quality, and other conditions.
6. Quantum Computing
Using quantum mechanical skills, we can execute some actions on data. These actions include tasks that are hard for basic computers to perform. It uses topics such as quantum entanglement and superposition.
There are many uses in financial modelling and drug discovery. Here are some use cases:
Financial modelling: Businesses make better decisions using quantum computers. They help model the financial aspects of a company by performing risk assessments and financial management.
Drug discovery: It helps in drug development using chemical reactions and protein folding. Quantum computers can improve the production of drugs for them to be publicly available in less time.
Leading companies such as AWS, Microsoft, Splunk, Google, and Honeywell are now involved with quantum computing. Quantum computers process data way quicker than standard computers. Statista states that the worldwide quantum computing industry will reach $8.6 billion by 2027.
Experience in linear algebra, quantum physics, machine learning, probability, and information theory is necessary for candidates.
Check Out This Blog: Top IT Certifications in Demand For 2023
7. Cloud Computing and DevOps
Cloud computing, in general, holds the term for hosting a remote service over the internet. All the services provided by cloud computing have been defined in 3 different categories:-
IaaS (Infrastructure as a service):- IaaS holds basic building blocks for cloud computing, providing network features and storage spaces. It tends to provide flexible management support over the IT resources in the IT department.
PaaS (Platform as a service):- PaaS is a cloud computing model where third-party agencies tend to provide services for hardware and software over the Internet.
SaaS (software as a service):- SaaS tends to provide software licensing and subscription-based methods for cloud computing, which is centrally hosted over the internet. It is also known as Web-hosted software.
DevOps:-
DevOps tends to deliver a highly accelerated service to the organisation by providing tools and applications. DevOps uses programming languages to develop any software package. To learn how DevOps work on creating such software, you need to understand the three most expected programming languages, such as JavaScript, Python, and Ruby.
8. Metaverse
Everybody has by now heard of the trend of 'Metaverse.' It is a system of shared, realistic virtual systems where individuals may meet, engage in gaming, work, and trade.
Tech companies are currently working to create systems similar to Metaverse that include virtual fashion displays, live concerts, and offices. Metaverse may also provide a realistic environment in which students can study everything in greater depth.
Many major businesses, like Nike, Gucci, Hyundai, Disney, Adidas, and Samsung, have seen financial gains in aspects of the Metaverse. They are working on developing creative Metaverse-based projects.
9. Extended Reality
Extended reality tends to involve technologies that simulate experiences like Virtual Reality, Augmented Reality, and Mixed Reality. This technology is well-liked in the video games, retail, healthcare, and modelling industries.
Gaming is a major sector for attractive jobs that do not demand higher education and just an interest in online gaming. For a good profession in this field, you can study animation, game design, or program editing.
Furthermore, here are some careers in extended reality, AR, and VR:
- Software Developer
- Game Designer
- Creative Director
- AR/VR Support Engineers
- Front Lead Engineer
- Extended Reality Architect
- Pro Gamers
10. Genomics
Genomics studies your genes and uses them for your well-being while supporting you in the fight against the disease. It can study your DNA, leading to the detection of diseases or other possible health concerns. Genomics is a method that studies the chemistry of DNAs, their genes, structure, mapping, and more.
An IT technology such as Genomics offers various technical and non-technical positions. The technical professions involve developing, evaluating, and identifying data. At the same time, the non-technical roles involve more advanced forms of research and systematic analysis.
- Full Stack Developer
- Bioinformatics Analyst
- Genetics Engineer
- Bio-informatician
- Genome Research Analyst
- Software Engineer
11. Augmented Reality (AR) and Virtual Reality (VR)
The next amazing IT technology is Augmented Reality (AR) and Virtual Reality (VR). VR engages the user in a virtual environment, and AR is used to modify that environment. Its main use is for gaming, but navy officials have also utilised the technology to train their army.
We may see a big advancement in AR and VR technologies in 2023. By integrating these with other IT technologies, we can expect to see their application in improving education, entertainment, training, medical, and marketing domains. These can bring a wealth of exciting possibilities in the future.
12. 5G Technology
With the addition of 3G and 4G, we could perform many tasks related to the internet easily. Whether it was browsing the net, listening to Spotify or YouTube videos, using data-driven applications, etc., these technologies brought many benefits in our daily lifestyle. 5G services are one step further and will bring even better internet capabilities in the future.
5G is integrated with other technologies such as VR and AR, Nvidia GeForce Now, Google Stadia, and other gaming services based on the cloud. 5G will mainly improve factories' work, manage traffic, enhance safety, and provide smart retail services and grid control.
13. Natural Language Processing (NLP)
Natural language processing (NLP) employs artificial intelligence to create machines that are capable of interfacing and comprehending human language. It is changing the IT services one step at a time. It is a main component behind creative innovations such as chatbot assistants.
This technology helps machines in learning the human language pattern and understanding the semantics behind the language. For example, NLP is useful in reading text, understanding it, hearing speech, calculating the sentiment, and determining which components are important.
14. Edge Computing
Edge computing is an emerging tech improving over cloud computing. As the volume of data companies must deal with continues to grow, they understand the limitations of cloud computing in particular events. Edge computing is here to address some of these issues by minimising the delay that comes with cloud computing.
Edge computing can handle real-time data at places where access to a centralised site is difficult or does not exist. Edge computing may act as tiny data centres in these events.
15. New Energy Solutions
As the world moves towards a greener earth and slowly understands the importance of our wildlife and nature, new energy solutions come in handy in most cases. For example, electric vehicles run batteries; homes utilise greener energy choices such as renewable solar energy solutions, and more.
People are not more conscious of the harm their carbon footprints left behind and finding out ways to turn them into renewable energy. This is also resulting in more data-related and environmental jobs in the energy industry. People having science specialisations and social science certifications are eligible.
Conclusion:-
Overall, new IT technologies can alter a variety of sectors. They can have a big impact on our daily lives and work situations. These technologies come with a wide range of possible use cases. As they grow, we should expect even more creative and impactful use cases to surface.
More businesses are using IT applications to automate and improve a variety of their business practices. Additionally, to enhance their business practices, Data Analytics Certification / Business Analytics Course plays a prominent role. An Artificial Intelligence Course covers all these technologies and gives adequate practical applications. Skilled candidates with suitable experience and knowledge are going to benefit.
To gain skills in emerging IT technologies and services, you should enrol in professional courses. Online programs are a great help for students and working people who get flexible timing to learn whenever they want.
The business analytics course will help you develop the necessary skills. You will study under a mentor's supervision to gain relevance in the IT industry. You can even opt for career counselling if you are unsure of your choice.
