Latest Technology Trends

Nowadays, business researchers and investigators distribute their estimates for the upcoming year. Digital transformation will proceed to be the driving force behind sustainable change. There are projects that progressively enrich existing business models and services with digital solutions so as to form additional worth. The projects are intended at absolutely unique services and business standards that are expected to initiate new potential and client collections.

In recent years, technology has developed and grown to become very popular. Technology is evolving at such a rapid speed that any predictions of trends can seem out-of-date even before it’s out in the market. Technology revolutionizes our daily lives and there are several technology trends that will help you in the years to come, and which should be recognized.

Some of the latest trends in technology are:

1. Artificial Intelligence:

AI is about all intelligent machines that will artificially act like speaking, examining, observing, understanding things and sentiments like humans. Implementing algorithms and codes, the system can execute tasks that are very tough, and that too with accuracy and efficiency.

AI concerns almost all business sections and methods. AI started to be practiced well everywhere from health services, banking, and other different businesses. It can be used on gadgets too. Various voice assistants such as Google Assistant are conducted by Artificial Intelligence (AI). Today, numerous researchers will work in this field to really help us in our daily lives. AI has created opportunities in different ways, in fields as AI in health services, education, and many businesses.

2. Robotic Process Automation:

Robotic Process Automation (RPA) is the latest technology that permits to configure distinct computer software, or a “robot” to follow and integrate the activities of a human communicating within digital modes to execute a business activity. RPA robots apply the user interface to achieve information and manage applications as same as humans arrange them.

They understand, responses and interact with different systems to operate on a wide category of repetitive work. Only substantially better: an RPA robot never rests and hence makes no mistakes. It is an Automating standard, manual workflow based on a set of commands that is a subset of Artificial Intelligence and is on the rise in 2019. RPA is an effect that can boost business profitability.

3. Machine Learning and Mechatronic Application:

Another one of the most impressive and expanding technologies is Machine Learning(ML). Machine Learning is an essential part of AI that can be a device's capability to understand, interpret, and follow itself. Also, assigning abilities to be understood in machines or computers is Machine Learning, which offers the ability to know data.

That's possible through algorithms. The possibility of a handheld device coming out with diagnostic models due to which fast data processing allowing AI to be integrated in such areas will see faster and even right choice of more suitable healthcare or even in most regions of application that needs computing clarification to provide high-speed data acquisition and computation allowing for better-developed software to execute dedicated machine capable to obtain data acquisition to allow greater response rate and data processing.

4. Internet of Things Security and ICS Security:

The Internet of Things (IoT) is a collection of devices that are connected to the Internet. You're probably thinking about things like a laptop or a smart TV, but IoT encompasses more than that and ICS (Industrial Control Systems) is a combined term used to define different types of control systems and connected instrumentation, which includes the devices, systems, networks, and controls utilized to manipulate and/or automate industrial practices.

IoT security and ICS security has been one of the most important issues for IT managers for years. Security issues are becoming more important due to the expanding IoT networking of composition techniques, devices, and machines. This creates greater risks for attacks from outside. It is not just about the protection of assets, but also about the detection of attacks and damage and also about regulatory issues such as reporting responsibilities. Here, it is essential to generate organization-wide security policies. The IoT is a system that handles electronics, applications, and the internet to really support joint devices, gadgets, or equipment to each other. When they are attached, they can interact and exchange data. IoT applications that have Radio Frequency Identification (RFID), wireless, sensors, and QR codes. Similarly, AI and Machine Learning will also be connected with thinking about the Internet.

5. Cloud Computing:

Cloud computing is the performance of various services over the Internet, including data storage, networking, databases, servers, and software. Cloud-based storage makes it possible to save files to a remote database and retrieve them on demand.

There is a prominent trend towards common cloud solutions, not only for development and test projects but also for mission-critical workloads to production. First businesses require to develop the public cloud as an elective to the data center. The cloud has been a revolution for businesses of all capacities, causing significant restructuring of businesses as a whole. Cloud computing enables you to link, update and share data in real-time with multiple sources when needed. Cloud computing grants access to data from the mobile device at any point in time, with data encryption contributing to high security and privacy. Cloud computing also reduces the expenses as there is no necessity for any dynamic servers to save and maintain reports.

6. Edge Computing:

Edge Computing is just an extension of the central cloud concept to a decentralized component and also a hardware problem. Edge computing is changing the way information is being manipulated, arranged, and released from millions of devices around the world.

The explosive growth of internet-connected devices – the IoT – alongside new applications that need real-time computing power, continues to drive edge-computing systems. Edge computing machines can be small controllers in sensors, single-board PCs that are close to the production line, or mini-data centers. The computing power is out there where it's needed for analysis, which is particularly important for real-time applications because otherwise, the runtimes are too long. Edge computing was developed because of the exponential growth of IoT devices, which connect with the net for either receiving information from the cloud or delivering data back to the cloud. And many IoT devices generate enormous amounts of knowledge during the course of their operations.

7. Distributed Ledger Technology:

Distributed ledger technology (DLT) is a digital system for recording the transaction of assets in which the transactions and their details are recorded in multiple places at the same time.

With DLT, there is an increasing level of enterprise technology maturity. There is also a trend toward protocols that are different from pure blockchains, like IOTA, a digital payment system or the Lightning Network, a protocol for scaling blockchain technologies, which first introduced off-chain transactions within the bitcoin environment. There are many application scenarios in banks, insurance companies; in tracking and tracing in trade and goods transport.

8. Virtual Data Platforms:

Virtual Data platforms are the programs in which any approach to data management that enables an application to retrieve and manage data without asking technical specifications about the data, such as how it is formatted at reference, or where it is actually located and can provide a single customer view of the overall data.

Today, there is a lot of data in companies that are stored in different silos, departments, formats, and databases. For the 360-degree view of the customer, however, all the available data must be consolidated and put together within the required form. Virtual, shared data platforms integrate all data sources; function a knowledge hub for all business processes, enabling flexible use of knowledge.

9. Augmented Reality:

Augmented reality is the combination of interactive digital components like dazzling visual overlays, buzzy haptic feedback, or other sensory projections – into our real-world environments. It is usually being applied in different enterprises including art, entertainment, trade, education, and the army. Also available on your own smart device.

Augmented Reality (AR) improves user experience with sound overlays, videos, graphics, etc. On the real things. Unlike VR, AR develops the facts by enveloping digital elements on it which could act as interactive sensors that allow data manipulation and communication. Augmented Reality application is growing rapidly. It is important to realize that it has an extraordinary ability to change our perception of humans. AR is also used in industries such as health, public safety, tourism, and many other industries. Contrary to VR, Augmented Reality does not let the user lose touch with reality. AR technology lets users see the real world and projects digital information onto the existing environment making it a mix of virtual reality and actual reality.


Technology trends are now in the center of attention for all types of businesses and companies. All these lists of technology trends are compiled to be probable. Hopefully, these technologies bring out positive changes in business productivity.


Date: Jan 02, 2020     Author: Minisha

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