There is no shred of doubt in that, the world is transforming at a faster speed than we have seen before. IT industry is one such an industry that has been revolutionized by the Artifical Intelligence. Information Technology deals with using computers, software, and other related hardware especially in a network to store, process, receive and transmit the information. We see many applications of Information Technology around us like video chatting, messaging apps, social networking, e-commerce etc. From Apple’s Siri to Tesla’s self-driving cars, Artifical Intelligence is helping in revolutionizing the technology. The impact of Artifical Intelligence is universal. It cannot be undermined or neglected. Artifical Intelligence has helped in transforming almost any industry. Either it is advancements in the medical field, finance, the manufacturing sector, banking, agricultural industry, digital marketing or any other industry.
First of all, let’s discuss little about Artificial Intelligence
Artificial Intelligence is a branch of computer science that deals with making intelligent machines that make computers capable of doing things that would otherwise require a human brain. The main goals of Artificial Intelligence are:
- To create expert systems that exhibit intelligent behavior.
- Simulation of human intelligence in machines.
Further, Machine Learning is a sub-branch of Artificial Intelligence. Machine Learning deals with training machines to perform tasks without being explicitly programmed. Machine Learning algorithms give machines the ability of reasoning, problem solving and perception. They can learn on their own from past experience and improve over time.
Data is the fuel which is used to feed the training machine learning model and can generate powerful network effects. There are few machine learning companies such as Facebook, Google, Amazon, and Microsoft all are open-sourced components of their internal machine learning technologies to shoot revolution in the space although building their brand as AI/ML leaders. There are some catchy words such as big data, Artificial Intelligence, machine learning and Internet of Things in the field of agriculture, industrial and education sectors. In fact, AI is a daily routine in numerous industries. Artificial Intelligence services promote human beings in reflecting, investigating and creating innovative technologies that bring revolution to the industry sector. The advance version of technologies of Artificial Intelligence such as Machine Learning is used for the development of the robot industry to train other robots. Machine learning device tries to copy the human brain functionality and activities. This functionality helps to gain various abilities such as speech recognition, image processing, high-speed data processing etc. Hence, to adopt the machine learning technology is really helpful to enhance the growth of machine learning in the artificial intelligence market.
Let us now discuss how Artifical Intelligence Trends are affecting IT industry:
- Building secure systems
An Artifical Intelligence technology has helped in building the secure systems. As we all know that huge data of government, as well as big private organizations, are stored in online databases, any security breach can lead to the security threat to the privacy of organizations. And in more severe cases to the nation also. So data security becomes utmost important. In addition to it, Machine Learning algorithms have helped in creating a layered security system that enables high security to the database systems. Machine Learning helps in identifying the potential threats and alarming the concerned authorities about the security breach.
- Automated Backend Process
Sub-domain of Artifical Intelligence such as Machine Learning applications have helped in automating the backend processes. It helps in handling the requests or issues entered into the system. Earlier, requests and issues were entered by the system analysts or the users. For example, automated service can detect automatically if a bulb is not working properly. It then raises the issue and makes a request to replace the bulb. Moreover, machine learning applications get better over time as they can learn from past experiences.
- Application Deployment
Artifical Intelligence has also helped in overcoming the issues occurring at the deployment stage of the software. Deployment control is a stage in software development where versioning of software is done. As versioning can lead to various risks like bugs and other related issues, it can break the application. Machine Learning mitigates this problem by predicting the issues that can occur beforehand.
- Machine Learning in Quality Assurance
Artifical Intelligence has also helped the Quality Assurance team in software development. With the introduction of automated tools in software testing, it can spot bugs and issues that are hard for manual testing to find. Also, the problems occurred can automatically be fixed and the development team can move on to the sprint. This saves lots of human hours and efforts.
- Self-building Softwares:
The idea of self-building software is still far away from where we are standing. It is not possible for the computer to make software on its own. So, developers should not be worried about losing their job. Rather, they should look forward to enhancing their skill set by broadening their knowledge in the field of Artificial Intelligence and Deep Learning.
6. Enhanced Productivity:
AI technology helps in improving the productivity of the programmers. The otherwise difficult tasks have become much easier than before. Machine learning as a service has also helped in adding more features to the software. Artificial Intelligence helps in every stage of the development cycle.
Final Thoughts: The advance version of technologies of Artificial Intelligence such as Machine Learning is used for the development of the robot industry to train other robots. Machine learning device tries to copy the human brain functionality and activities. This functionality helps to gain various abilities such as speech processing, image processing, high-speed data processing etc. Hence, to adopt the machine learning technology is really helpful to enhance the growth of machine learning in the artificial intelligence market. Applications of Artifical Intelligence have helped IT industry to a great extent. It has helped IT industry programmers in every stage of software development. The functionality of software also has been significantly increased. Thus it is essential for IT professionals to keep up with the new machine learning trends for building better software. At Webtunix AI, we provide all types of services for the Artifical Intelligence technology.