As we all know technology is the application of scientific knowledge for practical purposes, especially in industry. There are some technologies that are robust and in the market for the long time, whereas there are some which is new but trending. Choosing a technology for the business can be very daunting task. So here we are to help. These are some of the top trending technologies of 2018 with short introduction, which are very useful in business, development and other firms also.
=> Cyber Security :
First things first, Security and Development goes hand in hand. So if there is more development, there will be more need of security. We are living into the age of data and machine learning. And in future we will be having drones, Internet of Things etc. We are currently pentesting websites and software, but in future we will be pentesting drones, robots and what not. There is so much need of Cyber Security Experts. Apart from that, Cyber Security is not all about just pentesting websites and software. It also includes reverse engineering to hardware hacking, creating null sessions to bind and reverse shells.
=> Artificial Intelligence :
Nowadays, AI brings enormous changes to the business, reshaping the entire industries with the power of advanced technologies and software. Some companies have acknowledged that it is time to implement an AI strategy for their businesses. However, the main part is still on the way. The large companies are more likely to have an AI strategy is with at least 1,00,000 employees, but for them, this process is especially intimidating. 2018 will be the year when the best firms will incorporate AI applications into strategic and organizational development. There is a potential for algorithms marketplaces, where the best ones created by engineers or companies can be shared, bought, and deployed for organization’s personal use.
Moreover, the constant development of machine learning and AI technologies promises that every business will be data-driven and every industry will be smart. Small companies can’t directly move onto implementing AI because of shortage of data. With years of background work on prototypes and ideas, the changes now will be breathtaking. From healthcare to construction, banking and finance to manufacturing, almost every industry will be reshaped. Things that were hard to believe in are now becoming a reality. Virtual assistance for patients, computational drug discovery, genetics research, can give you a glimpse of the amazing use cases in medicine. There are many more applications for automation, robotization, data management and more in different industries that will bring significant changes.
=> Blockchain :
Everyone is now talking about blockchain, a revolutionary decentralized technology that stores and exchanges data for cryptocurrencies. Blockchain actually opens other new possibilities way broader than that. The blockchain is a distributed database, a digital register of transactions and contracts. It stores an ever-growing list of ordered records, called blocks, each containing a timestamp and a link to the previous block. Affecting a variety of applications, blockchain has impressive prospects in the field of digital transactions which will open new business opportunities in 2018.
Due to the growing role of social responsibility and security on the Internet, blockchain technologies are becoming more and more relevant. In a system using blockchain, it is almost impossible to forge digital transactions, so the credibility of such systems will grow. This approach can lay the fundamentals of disruptive digital business for enterprises and startups. Companies, which were previously established in the offline space, will be able to translate the processes into a digital environment completely.
In addition, as the hype around blockchain in the financial services’ industry will slow down, we will see many more potential use cases in government, healthcare, manufacturing and other industries. Companies need to take blockchain risks and opportunities into account and analyze how this technology can influence customers behavior. Also, blockchain strongly influences intellectual property management and opens new insights in protection from copyright infringement. Some websites like Blockai, Pixsy, Mediachain and Proof of Existence have promised to apply blockchain technology for such purpose.
=> Internet of Things :
Intelligent things are everyday devices that are capable of smarter interaction with people and the environment. These things operate semi-autonomously or autonomously in uncontrolled real-world conditions without the need for human intervention. Intelligent things have been in a spotlight for several years, and with a continuous expansion and enhancement in 2018 they will influence another worldwide recognized trend — Internet of things.
As this tendency proliferates, a network of collaborative intelligent things will be created, where multiple devices will work together developing I.o.T to its fullest potential. Connected to the global web and combined with each other with wired and wireless communication channels, things will turn into one big integrated system driving a shift in human-machine interaction. As a result of the fusion of artificial intelligence and the Internet of things, we may see some amazing technologies that are able to create smart homes and even smart cities.
=> Deep Learning :
Nowadays, deep learning faces the challenges of data collection and the complexity of the computations. Due to the last problem, a big part of the innovation in hardware is aimed at speeding up the deep learning experiments, like new GPUs and TPUs with a greater number of cores and different from today’s architecture that are now under development. In the next 3–5 years, deep training will shorten the development time of software solutions from several months to several days. This will lead to better functional characteristics, increased productivity and reduced product costs.
Speaking of data collection, now almost all large firms have realized it’s importance and influence on the effectiveness of the work. In the coming year, companies will start using even more data, and the success will depend on the ability to combine disparate data. In 2018, companies will collect customer data via CRM, ticket systems, BMP and DMP, omnichannel platforms. Also, there is a rise in popularity in collecting data on specialized sensors like LIDAR. The integration of existing systems and the integration of all types of client data into a single information pool will definitely be a trend. Moreover, startups will continue to create new methods for gathering and using data, and therefore the costs for it will be reducing.
=> RPA :
RPA stands for Robotic Process Automation. Robotic process automation (or RPA) is an emerging form of business process automation technology based on the notion of software robots or artificial intelligence (AI) workers. In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application’s graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose.
RPA tools have strong technical similarities to graphical user interface testing tools. These tools also automate interactions with the GUI, and often do so by repeating a set of demonstration actions performed by a user. RPA tools differ from such systems including features that allow data to be handled in and between multiple applications, for instance, receiving email containing an invoice, extracting the data, and then typing that into a book keeping system.