Technology trends are rapidly changing according to the needs of people. It is actually the collection of techniques or methods that helps in the production of services or goods or else in scientific innovations. The use and development of basic tools can be considered as the simplest form of technology. Technology can be applied to machines and it takes an input according to the systems use which give rise to technological systems. There are many latest technology trends in 2023 that creates a motion and can even change the technological face of the future.
Top Technological Trends
Technology is being developed day by day and thus the trends become outdated and changes are happening at a rapid pace. Thus it is essential to be updated with the current technology trends. Here are the topmost technological trends for the year 2023 which includes :-
It is a powerful technology that can even determine the strategies of upcoming future. Here the machines, especially computer systems process with human intelligence including self-correction, learning, reasoning etc. They also perform tasks like image recognition, decision making, most accurate and faster than humans.
Artificial intelligence is one part of automation where human assistance is minimum.
It can be categorized into two:-
- Weak AI
- Strong AI
Weak AI or Narrow AI is designed for performance of particular task. Virtual personal assistants like Apple Siri can be considered as Narrow AI.
Strong AI otherwise called artificial general intelligence which finds a solution for unfamiliar task without human intervention.
Artificial intelligence can be considered as a technology trend in business as AI tools present new functionality for business.
TYPES OF ARTIFICIAL INTELLIGENCE
- Reactive Machines
- Theory of mind
- Limited memory
Reactive machines do not store ‘memories’ and cannot use past experiences for the determination of future actions. Instead they perceive and analyses possible moves as its own. Deep Blue is an example for reactive machines.
In theory of mind, computers are built that perceive to human intelligence. This AI does not even exist yet.
Limited memory technology has been used by self-driving cars. Here past experiences can be used for future decisions. But the observations are stored temporarily and for a short period of time.
In self-awareness, AI system has a sense of consciousness. Self-aware machines are believed to be the ultimate goal of AI development. This type AI also does not exist yet.
There are different applications of artificial intelligence which includes AI in business, AI in health, AI in finance, AI in manufacturing, AI in education etc.
Machine learning is an example of artificial intelligence where computers are programmed to learn that are not sequenced or programmed, by discovering patterns and insights from data. Here the system has to learn automatically from experience.
There are different methods for machine learning. They includes:-
- Supervised machine learning algorithms that are able to provide targets for new input to make predictions about output values. This apply what has been learned in the past, to new data.
- Unsupervised machine learning algorithm which is used when the information are not classified. Here, the system explores the data instead of figuring out the right output
- Semi supervised algorithms that use both labelled and unlabeled data and are able to improve learning accuracy.
- Reinforcement machine learning algorithm interacts with the environment where delayed rewards and trial and error search is the relevant characters.
Machine learning creates a huge demand for skilled professionals and its applications are used for pattern recognition, data analytics etc. This can be believed to be a golden stone in the field of computer science.
Block Chain is actually the data we can add to but cannot change or take away. They are list of records linked using cryptography and plays a significant role in protecting information such as personal medical data. It can be used to improve the global supply chain and is highly useful.
According to Accenture, an application of theory suggests that block chains attained 13.5% adoption rate in the year 2023. Block chain is also helpful for the protection of art and real estate. The demand for block chain technology has been increasing thus increasing the demand of skilled professionals for different job opportunities.
4.Robotic Process Automation (RPA)
Robotic process automation is the use of software for automating business operations and for handling repeatable tasks like queries, transactions, maintenance etc with AI and Machine learning capabilities with the help of robots.
There are many RPA tools that shows technical similarities with graphical user interface testing tools.
RPA tools include Blue Prism, Ui Path, Work fusion etc and these tools have functional and structural similarity with each other. RPA have many applications in the field of accounting, healthcare, financial services, supply chain management etc. Thus it can be considered to be a trend in software as well as in business.
Edge Computing is a distributed computing paradigm which is the processing of data at the edge of the network instead of centralized data processing. They enables mobile computing and internet of things (IoT).
Here, the device itself processes the data and increases the network performance by reducing latency. Edge computing technology does not have lag time and thus respond to data instantaneously.
It is also used for processing time-sensitive data from remote locations to centralized location acting like mini data centers. Thus Edge computing is one among the top technological trend which is applicable for self-driving cars as well as for starting a business.
6.Virtual reality and Augmented reality
Virtual reality is the creation of an environment that can be similar or different from the real world, using computer technology. Here, the users are immersed into the environment and allows to interact with the 3D world.
Here the vision is being simulated and creates a 3D environment, eliminating the interactions with the real world.
Augmented reality enhances users environment. Here, a computer generated image is superimposed on users view of real world. They works on recognition algorithms to augment sound, graphics etc. This technology is used in GPS systems. Pokemon Go is an example for AR.
Both virtual and augmented reality have an important role in marketing, education, entertainment etc and thus is an important trend in 2023 that should be known.
Cyber security is the technology designed to protect networks, programs etc from attacks and damages. It protects the usability, integrity and safety of the network. It is very important for the protection of our network from hackers, viruses etc.
There are five main types of cyber security that includes critical infrastructure security, network security, cloud security, application security, Internet of things security etc.
- Critical infrastructure security consist of cyber-physical systems having infrastructure of electricity grid on networks
- Network security protects the internal networks by inhibiting access to it.
- Cloud security protects and monitors data in our cloud resources securing users data.
- Application security tackles external threats using software and hardware methods and ensure the prevention of unauthorized access.
8.Internet of things (IoT)
Internet of things (IoT) refers to critical and non-critical cyber-physical systems or a technology for connecting things or devices via internet. IoT enables the connection of home appliances, cars etc over the internet.
The implementation of IoT devices makes digital transformations. IoT has many startup ideas in 2022 for business and have many applications in the field of education, agriculture, logistics etc.
These are the 8 top latest technological trends in 2023 that we have to know, which can makeover the face of future.