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Top 9 New & Trending Technologies in 2023 You Should Know About Artificial Intelligence and Machine Learning. Data Science. Full Stack Development. Robotic Process Automation. Best Machine Learning Courses & AI Courses Online. Edge Computing. Virtual Reality and Augmented Reality. Blockchain. 5G. More items... •

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Home > Artificial Intelligences US > Top 9 New & Trending Technologies in 2023 You Should Know About

Summary:

In this Article, you will learn Top 9 New & Trending Technologies in 2023 Artificial Intelligence and Machine Learning Data Science Full Stack Development Robotic Process Automation Edge Computing Virtual Reality and Augmented Reality Blockchain 5G Cyber Security The 21st century has been a century of technological change. Several highly commercial and trending technologies during the early 2000s have entirely vanished, and new ones have taken their place. Many completely new technologies have also come up in 2023, especially in the arena of computer science and engineering. These new technologies in 2023 are only likely to grow and perhaps even reach the common person’s hands. If you want to learn about trending technologies in 2022-23 and stay updated, let’s dive in. Here are the new trending technologies in 2023 you should check out and learn to master if you want to get an edge in the market.

Top Trending Technologies in 2023

1. Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning once represented the cutting edge of computer science. When these technologies were created in the last 20th century, they hardly had any applications and were, in fact, mostly academic. However, these technologies have gained applications over the years and reached ordinary people’s hands through their mobile phones and is currently one of the latest technologies in computer science. Machine learning represents a computer science field in which an algorithm can predict future data based on previously generated data. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own. Both artificial intelligence and machine learning requires advanced knowledge of statistics. Statistics help you determine the results that your algorithm might throw up for a particular dataset, thus evolving it further. The proliferation of machine learning applications has meant that the number of jobs in this field has also grown. Machine learning is among the leading technologies of this century. A career in this domain can expose you to advanced computational infrastructure and novel research in the field making this a fine new technology in 2023 you should consider getting into. Having a job in machine learning and artificial intelligence domain(s) places you at the forefront of technological development in the field of computer science. In fields such as retail and e-commerce, machine learning is an essential component to enhance user experience. The product recommendations that you see on such sites are generally a result of a machine learning algorithm analysing your previous searches and recommending similar products to you. In the healthcare field, machine learning can help analyse data to provide treatment insight to physicians. Even though AI is helping us in our day to day lives, it is still a new technology in 2023 considering its potential.

2. Data Science

Recent technology in computer science is Data Science. For much of the initial part of the 21st century, data science was the next big thing. Data science has been around for much longer than just the past twenty months. For centuries, data analysis has been an essential task for companies, government, institutions, and departments. Analysing data helps understand the efficiency of processes, conduct surveys of the workforce, and gauge people’s general mood. However, as of today, much of data analysis has turned digital. Data analysis is among the first jobs that computers are turned to for. In the early 2000s, data analysis was so prevalent that students were being taught introductory courses on the subject in school. In the 2023s, data analysis is likely to blow up more than ever. With computational technology growing at a more excellent pace than ever, the data analysis capabilities in people’s hands are likely to increase. Newer, faster data analysis algorithms and methods are likely to come up and be put into practice. The benefit of having a career in data science, regardless of the domain your company works in, is that you are an essential part of the firm’s overall business. The data that you produce and the interpretations that you provide are likely to be a necessary part of the business strategy of any company that you serve. In retail and e-commerce, data science is widely used to determine campaigns’ success and the general trend of various products’ growth. This, in turn, helps develop strategies for the promotion of particular products or types of products. In health care, data informatics can be essential in recommending low-cost options and packages to patients and allowing doctors to choose the safest yet most effective treatments for them.

How to become a data scientist?

Learners can opt for Executive PG Programme in Data Science, a 13-month program by IIIT Bangalore. Full-stack development refers to the development of both client-side and server-side software and is bound to be one of the top trending technologies of 2023. The 21st century started with the dot com boom, and the internet, a relatively new phenomenon, was spreading across homes in the world. In those days, websites were no more than simple web pages, and web development wasn’t the complex field that it is now. These days, web development involves a front end and a back end. Especially for fields related to services, such as retail and e-commerce, websites include a client-side—the website that you see—and a server-side—the website that the company controls. Generally, web developers are given the job of handling either the client-side or the website’s server-side. However, being a full stack developer gives you and your company the flexibility of working on both ends of the web development spectrum. The client-side or front end will generally require knowledge of suites such as HTML, CSS, and Bootstrap. The server side requires knowledge of PHP, ASP, and C++.

How to become a full-stack developer?

Learners can opt for Executive PG Programme – Full Stack Development, a 13-month program by IIIT Bangalore.

4. Robotic Process Automation

Robotic Process Automation isn’t just about robots. It is a lot more about the automation of processes than anything else. Before computers, most processes involved some human intervention. Humans ran even manufacturing machines, and large-scale manufacturing employs thousands of people. However, since computers have taken over most processes, manufacturing hasn’t been left untouched either. All domains, be it manufacturing or information technology, now involve some automation in their processes. The amount of human intervention in these processes is only reducing, and this trend is likely to continue for the foreseeable future. Jobs in robotic process automation typically involve a significant amount of coding knowledge. You would typically need to write code that would enable computerised or non-computerised processes to be done automatically without human intervention. These processes could mean anything from automatic email replies to automated data analysis and automatic processing and financial transactions approval. Robotic process automation makes tasks considerably faster for the common consumer by making such approvals automatic based on certain conditions entered by the programmer. In sectors such as financial services, robotic process automation can reduce the lean time to approve financial transactions online. It improves the productivity of the company as a whole, as well as that of its clients.

5. Edge Computing

During the early part of the 21st century, cloud computing was considered the next big thing. In cloud computing, data is uploaded to a centralised repository that may access it regardless of location. Cloud Computing began to be used in commercial devices only close to 2010. By the time it was 2023, cloud computing had become a prevalent technology. In just about a decade, cloud computing had turned from being an esoteric term to being a part of a few devices in almost everybody’s house. In 2023, cloud computing is no longer among the top technology trends but rather a thing of the past.

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The next step after cloud computing is edge computing. It is another rising new technology in 2023 which is very similar to cloud computing, except that data is not stored in a centralised repository. In areas where network access might be difficult or impossible, cloud computing is challenging since you can no longer access the repository where your data is stored. What edge computing does is transfer data closer to the location where it needs to be used. Edge computing has excellent applications in the Internet of Things devices. As far as IoT is concerned, a physical device you need to control with your smartphone should not need to access data from a centralised repository that might be thousands of kilometres away. Instead, data should stay as close to the device as possible. Edge computing allows the data to remain at the ‘edge’ of the cloud and the device for processing so that commands can be followed through in a smaller amount of time. Edge computing jobs have only begun to grow with IoT devices’ proliferation over the past few years. As the number of these devices increases, edge computing roles are likely to become more prevalent and lucrative, placing it firmly among the trending technologies in 2021-22.

6. Virtual Reality and Augmented Reality

Virtual Reality and Augmented Reality have both been technology buzzwords for over a decade now. However, these latest technology trends in computer science have so far failed to materialise into widely available consumer products. The presence of virtual reality and augmented reality in our real lives is minimal. Eventhough VR and AR have been familiar in the industry, they are relatively new technologies in 2023. Virtual reality has been used widely in video games thus far and augmented reality-based apps did become popular for a while a few years ago, before waning. However, the best way virtual reality can become a top technology trend for the future is by making it a part of people’s daily lives. Over the past few years, virtual reality has also begun to find applications in training programs. Another domain where virtual reality experiences have been useful is in providing experiences to museum-goers. The trajectory of the rise of virtual reality is very similar to that of 3D technology—it might take just one application, such as cinema in 3D, for the technology to become mainstream. According to Payscale, average salary of AR Engineer is above 6 lakhs per annum, one more reason to give this new technology a try in 2023. Virtual reality jobs do not currently require a lot of training. Simple programming skills should be enough to land you a job, alongside an interest in the field and the power of visualisation. With millions of virtual reality devices being sold worldwide every year, it is only a matter of time before we see VR and AR take over our daily lives.

7. Blockchain

You have probably heard of Blockchain in the past few years, mostly in the context of cryptocurrency. However, Blockchain has grown to have several different applications. The significant part about Blockchain is that it is never under the complete control of a single entity due to being entirely consensus-driven. It can never change the data you store in the Blockchain used widely in sharing medical data in the healthcare industry. Due to the security that Blockchain provides, this data can be shared among parties pretty much seamlessly. Another application of Blockchain is in maintaining the integrity of payment systems. Blockchain-based payment systems are currently highly immune to external attacks and theft. Blockchain can also be used in tracking the status of products in a supply chain in real-time. The number of blockchain jobs has unexpectedly increased in the past few years and continues to increase. However, the number of applicants for such positions has also been growing in tandem. To bag a job in the blockchain domain, you need experience in multiple programming languages and in-depth knowledge of data structure and algorithms, OOPS, relational database management systems, and app development.

How to become a Blockchain Developer?

8. 5G

If there is one technology, the knowledge of which is still little, it is 5G. It is a new technology in 2023 for which companies and governments around the world have spent years preparing for the rollout of 5G technology. In several countries, this technology has already been rolled out and achieved a significant amount of success. Since 5G is currently in a nascent stage, it is available only to a limited extent and is also relatively expensive. The number of compatible devices with 5G is also not appreciable, although most new mobile devices being released have 5G compatibility. 5G has a much greater capacity than the current 4G technology, with an average network speed of 100 Mbps and a peak speed of 20 Gbps. If you have multiple mobile devices in your home, 5G will probably connect to these devices and use them concurrently significantly easier. When 5G technology was only in the development stage, 5G jobs were few, and most such jobs were allocated to employees within companies. However, companies have begun to hire network engineers over the past few months, specifically for jobs associated with their 5G networks. As 5G technology has become more prevalent, there has been a scramble among networks to purchase spectrum and roll out the technology first. This has led to the requirement of a larger workforce focussed on the development and release of 5G networks. The number of devices and coverage about digital technologies has been rising, hence the threat by cyber-attacks on such devices. Cyber attacks can take many forms, from phishing to identity theft, and the need to guard the greater user coverage of the internet is greater than ever. Simple antivirus software is no longer sufficient if you want to save yourself from cyber attacks. The development of better, more sophisticated technologies to guard against cyber threats is the subject of multiple academia and industry projects worldwide. Companies are involved not just in making new commercial technologies to protect individual domestic consumers against cyber attacks. Some of the most frequent cyber-attacks are government data repositories or the storage facilities of large companies. Nearly all large companies need a way to protect their data and their employees’ data and associated firms. Jobs in cybersecurity have been growing at thrice the pace as other tech jobs, primarily due to the reasons mentioned above. Not only are these jobs incredibly well-paying, but they are also some of the most critical positions in any firm. The 5G market in India is estimated to reach INR 19 Billion by 2025 so this new technology in 2023 can be a game-changer. Especially in domains such as e-commerce and retail, the importance of cybersecurity cannot be underscored. Thousands of customers store their personal and financial data on retail companies’ websites to allow for easy payments. They also have accounts and passwords, which need to be protected. Similarly, in the healthcare industry, patient data needs to be protected against cyber threats.

How to become a cyber security analyst?

If you want to pursue this profession, upGrad and IIIT-B can help you with a PG Diploma in Software Development Specialization in Cyber Security. The course offers specialization in application security, cryptography, data secrecy, and network security. Apart from the above, we give you BONUS top 9 latest trending technologies that are a big hit this 2023.

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1. Data Fabric

One of the new technology 2021-22 is data fabric which offers an innovative, robust integration of data sources across platforms and business users, making data accessible wherever it is needed, regardless of where the data is located. Analytics can be used by data fabric to discover patterns and make suggestions about how and where to use and modify data. This may result in a 70% reduction in data management efforts.

2. Cybersecurity Mesh

A flexible, modular architecture called a cybersecurity mesh connects distributed and independent security services. In order to increase overall security and bring control points closer to the assets they are intended to safeguard, cybersecurity mesh allows best-of-breed, standalone security solutions to work. In both cloud-based and non-cloud systems, it can swiftly and accurately validate identity, context, and policy adherence.

3. Privacy-Enhancing Computation

One of the new technologies in computer science is privacy boosting computation. Due to changing privacy and data protection legislation as well as rising consumer concerns, privacy-enhancing computation safeguards the handling of personal information in untrusted contexts. Various privacy-protection strategies are used in privacy-enhancing computation to derive value from data while still adhering to compliance standards.

4. Cloud-Native Platforms

Recent technology in computer science is Cloud-Native Platforms. Building durable, dynamic, and adaptable new application architectures using cloud-native platforms enables you to adapt to quick changes in the digital landscape. Cloud-native platforms are an improvement over the old lift-and-shift method of using the cloud, which misses out on its benefits and makes maintenance more difficult.

5. Composable Apps

One of the new technologies popular this 2021-22 is composable applications that are created using modular, business-focused building blocks. Composable applications speed up the time to market for innovative software solutions and unleash enterprise value by making it simpler to use and reuse code.

6. Decision Intelligence

One of the many trending technologies in 2021-22 is Decision Intelligence. An effective strategy to enhance corporate decision-making is called decision intelligence. It uses intelligence and analytics to guide, learn from, and improve decisions by modelling each choice as a collection of processes. Through the use of augmented analytics, simulations, and AI, decision intelligence may support and improve human decision-making as well as possibly automate it.

7. Hyper automation

The goal of hyper automation is to quickly discover, validate, and automate as many business and IT operations as is practical. Scalability, remote operation, and business model disruption are made possible by hyper automation and are undoubtedly the recent technology in computer science.

8. AI Engineering

For the purpose of streamlining the supply of AI, AI engineering automates updates to data, models, and applications. AI engineering will implement the delivery of AI in conjunction with sound AI governance to guarantee its continued business value.

9. Distributed Enterprises

To enhance staff experiences, digitalize customer and partner touchpoints, and expand product experiences, distributed enterprises represent a digital-first, remote-first company strategy. The needs of remote workers and customers, who are driving demand for virtual services and hybrid workspaces, are better met by distributed enterprises. Popular Machine Learning and Artificial Intelligence Blogs IoT: History, Present & Future Machine Learning Tutorial: Learn ML What is Algorithm? Simple & Easy Robotics Engineer Salary in India : All Roles A Day in the Life of a Machine Learning Engineer: What do they do? What is IoT (Internet of Things) Permutation vs Combination: Difference between Permutation and Combination Top 7 Trends in Artificial Intelligence & Machine Learning Machine Learning with R: Everything You Need to Know

Conclusion

The year 2023 will see the global economy’s reemergence, and new technologies will almost certainly drive this. The top technology trends mentioned above are likely to take over our regular lives in the coming years. Jobs in these technologies and skills associated with them will be extremely invaluable, and gaining education related to them is bound to help you considerably in your career over the long term. Picking and mastering the right new technology in 2023 will make you a future proof. Check out upGrad’s courses on new technologies Machine Learning, Data Science, Blockchain, Machine Learning designed for working professionals. Get your hands-on practical projects and get job assistance with top firms. If you’re interested to learn more about machine learning, check out IIIT-B & upGrad’s Executive PG Programme in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms. What is the best technology to learn in 2023? Artificial Intelligence, Blockchain, Cloud Computing, Data Science, Virtual Reality, Cyber Security etc, are some of the best technology to get into in 2023. What are the trending technologies in IT Industry 2023? Blockchain,VR and AR are the most trending technologies in IT industry 2023. What is the difference between Machine learning and Data Science? Machine learning is the field of study that combines Machine and Data Science. It provides computers the capability to learn and predict output without human intervention and without being explicitly programmed. It focuses on algorithm statistics and uses various techniques such as regression and clustering to learn about the data and give output. Machine learning is a part of Data Science, and it has three types. Data Science, on the contrary, is a field of study which deals with the process and systems required to extract valuable data from a large amount of unsegregated data. It is the field on which many other technological disciplines are dependent, and it consists of many processes such as data gathering, data cleaning, etc. What is the scope of Machine learning? In its most literal sense, machine learning is data-based learning used by machines to make decisions in certain activities. Machine Learning professionals are in high demand, as practically every technology startup and the major corporation wants to engage Machine Learning experts to modernize their businesses. Machine Learning is gaining momentum in a variety of industries, including banking and finance, the investment sector, information technology, entertainment and media, gaming, and the automobile industry. Since the spectrum of Machine Learning is so extensive, there are a few domains where researchers are striving to revolutionize the world's future. What does edge computing mean? Edge computing is a networking paradigm that emphasizes placing computation as near as feasible to the data point to reduce delay and bandwidth usage. Edge computing, in a simplified way, implies executing lesser tasks on the cloud and relocating them to designated locations, such as a browser, an IoT device, or just an edge server. By bringing processing to the network's edge, the quantity of long-distance transmission between a client and server is reduced. While maintaining the centralized characteristics of cloud computing, edge computing brings computation closer to end-users to minimize the distance that data must travel.

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