We are living in the world of technologies where latest technology trends are discovered and followed frequently. These technologies helps in performing tasks faster whether it is for our personal or professional purposes. Businesses are adopting these new technologies in order to grow and increase their revenue. There are variety of technologies which has grabbed the attention and promises to transform the world. These technologies are stepping forward towards innovation to give us new experiences. It’s time to become familiar with these new technologies.
Latest technology trends in Information Technology are listed below:
The Internet of Things (IoT)
A concept where interrelated computing devices are given unique identifiers (UIDs) which extends the connectivity via the Internet across the globe. In simple words, an amalgamation of physical things implemented with sensors, electronics, software and connectivity that permits to operate better thereby exchanging the data with other devices. 4.7 billion things connected to the Internet in 2016 is expected to increase its reach by connecting to double the things it is connected currently. Not only the people, businesses and cities will be seen adopting this technology to save time and money. Cars will become smarter than ever with the arrival of 5G Network and shifting it to high gear and driverless cars. The connected vehicles plying on the road will help data to move faster. With the use of IoT, routers will be more secured and behave smartly providing security to vulnerable attacks.
Artificial Intelligence (AI)
The list is incomplete without Artificial Intelligence (AI) which has been one of the top technology trends 2018. We all have heard about Artificial Intelligence but what is actually this technology about? Human intelligence, the mental ability of the humans is noticed by complex cognitive characteristics and high amount of motivation and self-awareness is now simulated by machines and this technology is named as Artificial Intelligence (AI).
The development and implementation of AI in near future will lead to huge transformation in our lives. This change will be beyond our imagination with automated systems doing our tasks automatically in a precise and perfect manner.
An application of Artificial Intelligence through which the computer systems develop the ability to learn data automatically as it starts accessing it. Machine Learning can easily identify patterns and improves continuously as ML algorithms acquire experience. Though this application needs some time to execute and learn the algorithms, it is expanding its reach with applications like Augmented Analytics where it helps in transforming analytics data. This will result in advancement of data preparation, business process management, modern analytics, management of data etc, making the tasks of the professionals easier and avoid the need of professional data scientists in many circumstances.
An ever-growing list of records called as blocks are connected with special codes i.e. cryptography in which each block imbibes a cryptographic hash of the preceding block and transaction data with the timestamp. Widely used by crypto-currencies namely Bitcoin which is a peer-to-peer electronic payments system allows customers to make online transactions instantly. This feature of recording each transaction on its server in a public record is called “blockchain”. This way each block is generated at a certain time limit like 10 min, 15 min etc. Although this technology has emerged recently, businesses are applying this to digitize their transactions in a smooth and efficient manner.
A brand new technology that helps in processing data produced by the Internet of Things (IoT) devices. The process takes place closer to the area where it is produced. This results in avoiding the long routes reaching to clouds or datacenters. Deploying Edge Computing is very effective in the situations when the IoT systems are not so efficient to connect to the cloud/datacenter because of its poor connectivity. As a result, it helps in executing the task systematically in such circumstances without delaying the whole process.