10 Technology Buzzwords You Must Know In 2018……

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2018 holds a lot of exciting tech innovations in store, that we don’t know about yet. We can however sum up here the 10 IT and tech buzzwords that we believe will be abundantly discussed in the coming year:

Artificial Intelligence (AI)

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

Regarding the future growth of AI, it is undeniable. The research firm Markets and Markets for instance, estimates that the AI market will grow from $420 million in 2014 to $5.05 billion by 2020.

Internet of Things

Without a doubt the Internet of Things (IoT) is one of the most influential IT & tech buzzwords of recent years and will continue to grow in popularity as its applications will become more and more tangible.

With the Internet of Things, the physical world will become one big information system. Everyday physical objects will be connected to Internet and to each other creating the ambient intelligence. The new task of designers will be facilitating of an ambient user experience that smoothly flows across and exploits different devices. The device mesh refers to an expanding set of endpoints people use to access applications and information. It includes mobile devices, wearables, consumer and home electronic devices, automotive and environmental devices — all sensors in the Internet of Things that interact and cooperate with each other and that will constitute our Internet-connected reality.

The major holdup right now preventing the “smart home” revolution from happening is that there are too many differing platforms on the market. Google, Amazon, and Apple each have their own “ecosystems” that don’t play well with each other. However, it’s likely that soon this problem will be solved by the forces of innovation and capitalism – so keep an eye on this space in 2018.


Termed as the most revolutionary one, in the entire history of financial technology, blockchain technology facilitates digital transactions to be distributed and not copied. It acts like a distributed and shared database. Don and Alex Tapscott, author of BlockChain Revolution has defined it in the best way.

”The Blockchain is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions, but virtually everything of value.”

It’s a kind of public ledger which records all transaction carried on till yet and lists them in chronological order. As per As per PricewaterhouseCoopers experts, somewhere 1.4 billions money was invested in Blockchain Companies in 2016. It has all the potential to fundamentally change the way transactions are recorded and maintained till yet. It will have massive impact on the functioning of banks, markets and government.

Digital Detox / Digital Productivity

In the midst of our technology buzzwords for 2018, we wanted to drop one rising expression that wouldn’t exist if it was indeed for technology. We are not technophobes, so we are not afraid to say that the digitization of everything brought a lot of positive things to our societies, facilitated exchanges and connections, work, health management, saved us a lot of time and enabled companies to produce more, grow, and make more profit. But at the same time, all the aspects aforementioned have their identical “dark twin”. Technology facilitates exchanges between people but also easily spreads hatred speech at the same time; it connects people to better isolate them; it helps healthcare professionals but impacts everyone’s health, it helps companies grow and profit, but creates a lot of unemployment at the same time. Modern technologies and more specifically digitization can be praised and cursed at the same time, as it touches every aspect of our daily life that has been totally disrupted by it.

It is of no surprise then, that the need arose to take a break from this constant change, constant solicitation and permanent connection to the world in our digitized life. Not only because it harms our mind and body in different ways, but also because it impacts our workday and workforce efficiency.

Many people have developed the “phantom vibration syndrome”, that sensation to feel or hear our phone buzzing while it doesn’t. Studies show that today’s teenagers with smartphones are more depressed and sleep less and not as well as before. The FOMO, Fear of Missing Out, is now a daily anxious spurt for most of us. On a professional level, the break from work is harder as our phone reminds us about it all the time, and in many jobs, being a 100% of the time connected and available unfortunately prevails. Some countries like France or Germany try to regulate the out-of-hours emails to avoid burnouts and underpaid employees working around the clock. One in four person in the UK spends more time online than sleeping. Our brains have no downtime, boredom, sleep, or focus.

Microservices / Microservice Architecture

Microservice architecture, or simply microservices, is a distinctive method of developing software systems that tries to focus on building single-function modules with well-defined interfaces and operations. The trend has grown popular in recent years as Enterprises look to become more Agile and move towards a DevOps and continuous testing. Microservices can help create scalable, testable software that can be delivered weekly, not yearly.

Microservices have many benefits for Agile and DevOps teams – as Martin Fowler points out, Netflix, eBay, Amazon, Twitter, PayPal, and other tech stars have all evolved from monolithic to microservices architecture. Unlike microservices, a monolith application is built as a single, autonomous unit. This make changes to the application slow as it affects the entire system.  A modification made to a small section of code might require building and deploying an entirely new version of software.  Scaling specific functions of an application, also means you have to scale the entire application.

Just as there is no formal definition of the term microservices, there’s no standard model that you’ll see represented in every system based on this architectural style.  But you can expect most microservice systems to share a few notable characteristics.



  • Mulitple Components
  • Built For Business
  • Simple Routing
  • Simple Routing
Quantum Computing

Quantum Computing will continue being a major technology buzzword in 2018. In general quantum computers can solve much more complex problems than classical electronic computers by using quantum bits (qubits) instead of binary digits (bits). This means that the data doesn’t have to be limited to two defined states any more: 0 or 1. For this reason quantum computing is much more flexible by allowing computations to be performed in parallel.

However, the real challenge is how do quantum machines really carry out these quantum computations. Scientists have been researching in this field for decades, so it may still take some years before quantum computing becomes a reality.

Serverless Architecture

Serverless architectures are application designs that incorporate third-party “Backend as a Service” (BaaS) services, and/or that include custom code run in managed, ephemeral containers on a “Functions as a Service” (FaaS) platform. By using these ideas, and related ones like single-page applications, such architectures remove much of the need for a traditional always-on server component. Serverless architectures may benefit from significantly reduced operational cost, complexity, and engineering lead time, at a cost of increased reliance on vendor dependencies and comparatively immature supporting services.

It is convenient because it lets developers focus on their central business problem and focus on it, instead of worrying about patching xyz web server another time, or spending too long on building complex system. However, not all applications can be implemented serverless-style. Legacy systems or public cloud bring limitations. Serverless architecture does bring benefits like reduced operational and development costs, reduced time to market, and an enhanced productivity, there are some downsides.

Mobile First

Mobile first is not exactly a new technology buzzword, but it will be accentuated in the years coming. Software providers have realized that users have many different interfaces to the Internet, and to access what they want. They’ve stopped assuming that users – and employees more specifically – do most of their works sitting at their desk in front of their PCs. There is hence the need to develop software and apps that are adapted to these alternative ways of working and use habits.

Mobile first answered that need, by accommodating desktop computing in a way that fits the flexible work style of the mobile and smartphone era. As the name states, it designs the online experience for mobile before designing it for the desktop: a real change in paradigm. First an issue for B2C businesses who have to adjust to permanently changing consumers habit, it has reached the more defined, traditional working-style professional world, and B2B companies are increasingly moving towards mobile first – or at least, “mobile too”.

Dark Data
Dark data is the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing). Similar to dark matter in physics, dark data often comprises most organizations’ universe of information assets. Thus, organizations often retain dark data for compliance purposes only. Storing and securing data typically incurs more expense (and sometimes greater risk) than value according to Gartner .
Dark data is an increasingly searched and used expression, simply because dark data is growing in every company and organization. Everywhere, people are building up endless oceans of data, and it starts in our own personal life, we are “data hoarding” everything (saving up countless identical photos, text messages, presentations, documents, etc).
Actionable Analytics

Self-Service Analytics or ad hoc reporting gives users the ability to develop rapid reports, empowering users to analyze their data. End users can analyze their data by dynamically modifying, drilling through, or adding calculation functions to a report. This flexibility decreases IT resource drain freeing up valuable development resources.

With JReport’s self-service BI capability, end users can quickly get started by building their own reports. They can choose a data source and perform a one-click convert to any type of chart or widget. End users then choose a layout to populate the report with data. Developers create the foundation for self-service, so end users don’t need to understand the underlying structure of the database schema they’re using. Developers define a metadata layer which helps guide end users to the correct data. With the end user in mind, JReport makes self-service analytics simple with a complete user-friendly experience.

Self-Service Analytics gives users the ability to easily build reports with the exact information that users need without tying up developer resources. This gives business users the ability to take control of their own analytics needs and helps them to extract maximum value from both their data and their application while simultaneously extending the overall agility of their organizational BI.


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