Technology is continually being modified so quickly that it seems to be faster than light! The next few days could be redundant for technology or programming language that is going on around this week. When research and development funds are increasingly spent, computer scientists and practitioners tweak and refine current technology continues to get more of them.
In this age of technology, studying and upgrading your skills is crucial. This lets you train for the highest-paid work in the sector of your choosing. Here are some new trending technology, which the IT industry will definitely control in 2020 and the coming years.
No 1. Artificial Intelligence (AI) and Machine Learning in Top 10 Technology Trends for 2020
Artificial intelligence and machine learning have reached a crucial point of departure and are rapidly growing and expanding almost any operation, product, or application allowed by technology. People worked to build a computer that works like a human in the post-industrialization period. This technology’s most significant contribution to humanity is the thought equipment; this self-propelling computer’s broad entry has repentantly altered market laws. In recent years, self-driving cars, automated assistants, autonomous factory workers, and intelligent communities have shown the likelihood of intelligence.
These days we will not find a business that does not use the power of machine learning (ML) or artificial intelligence (AI). Every organization now has AI-driven activities around. With the assistance of deep learning algorithms, AI achieves this precision. It would help if you looked for connections with Alexa or Google search, for example. Both of these are focused on profound research algorithms. And the more exact and essential they become as time goes on, the more we communicate. ML also increases the scenarios and helps optimize both goods and services. With ML, we can automatically construct an analytical model based on the results.
1. Efficient recommendations provided by Google Search Console
If I talk about Google, we already know how Google presents its ML products with Google Assistant and Google Camera worldwide. But now, it’s even expanded to the technology by Gmail and Google Photos. Gmail now has a smart response feature that offers quick answers to any email you receive based on the emails’ content.
2. Song recommendations according to the mood on Spotify
Spotify uses ML in just the same way as Netflix. It lists about 30 songs with weekly releases and should you listen to them. It would be directed and sent to users as a playlist. All of these songs are taken from ML algorithms to analyze your activity and match your taste from previous songs.
3. Intelligent voice assistants such as Siri & Alexa
Deep neural networks are also part of these well-known frameworks for speech recognition. They are trained in a manner where they can exactly mimic human experiences. These applications can learn to understand the language skeleton and grammar as the experiences advance.
4. Amazing cab services such as Uber & Ola
ML is a key part of this tech giant. From the time to the degree to which your cab is from your specific place, ML drives everything. It uses algorithms to evaluate both of these efficiently. This is achieved by reviewing and displaying the data of the prior journeys.
No 2. Robotic Process Automation (RPA) in Top 10 Technology Trends for 2020
Robotic Process Automation is a technique that enables anyone to configure computer software or “robot” to mimic and incorporate human interaction behavior in the digital environment to operate a business process. RPA robots use the user interface to collect and control data like human beings. They perceive, activate answers, and communicate with others to perform a wide range of routine tasks. Just slightly better: the robot of RPA software never sleeps and makes zero errors.
RPA robots can imitate many, if not all, human acts. They log in, transfer files and directories, copy and paste data, full form, delete document-structured and semi-structured data, scrape tab, and more.
1. Reduce back office efforts
The national company used its shop closure notes to verify each of the registers’ closing details across hundreds of outlets. These reports are written by the company staff with a manual and slower protocol. The store has now liberated its staff by automating the operation to focus on more customer-centered operations. RPA robots now pass closing reports to a server and read and consolidate the required data for closing reports in the store.
2. Implementation becomes fast to achieve ROI
According to research, a European HR service provider handled 2,500 sick leave certificates per month with an average handling period of four minutes per item. Within three weeks, they applied an RPA approach and reached 90% process automation. The RPA robot collects data from the SAP transaction, integrates and prints the information into the customer’s programmes. The HR service provider achieved a return on investment within six months, with error rates reduced to 0 per cent, manual effort reduced to 5 per cent and delivery time reduced by 80 per cent.
3. Enhance front office client support
According to a study a commercial credit insurance corporation with more than 50,000 customers worldwide has streamlined the credit limit application process. The authors had previously gathered information manually from internal sources (Risk & Policy) to external sources (Customer Portal, Google News). With RPA, 2.440 working hours a month have been preserved. Staff now use this opportunity to work with consumers directly.
No 3. Edge Computing & Quantum Computing in Top 10 Technology Trends for 2020
We are at the beginning of a new age of computation, where innovative new computers are brought and gradually the origins of our data is more analysed.
Edge computing conducts calculations near or at the data source. This varies from the current trend, as a significant portion of our computation is now taking place in the cloud, with distributed data centers doing the processing job. The problem for our current cloud-based computing architectures is the capacity for delay, commonly known as latency. Shortly, more analytical work could be performed locally. For example, a car’s computer vision technology will automatically process and identify images rather than submit the information to the cloud for clarification. Edge computing includes custom processors and hardware and operates alongside the cloud instead of removing its features.
Quantum computing can solve numerical problems that are too complex for traditional computers to process information in 1s or 0s. These 1 and 0 bytes are possible in all states (qubits) in the quantum universe at once, enabling computation to be done simultaneously. Therefore, if you construct two qubits, you will keep four values simultaneously: 00, 01, 10, 11. Quantum computers need special algorithms capable of doing new stuff, making them more powerful than anything developed to date. For decades, physicists have been studying this technology. The task, though, has been to prove that a quantum computer is really doing quantum computing. This is because the mere process of observing information in transit shifts the data structure in a quantum device.
Latest advances have sparked interest in quantum and edge computing. In 2019, Google released a paper in the journal Nature stating that it had hit a new speed benchmark on a new kind of processor. Verizon and Amazon Web Services unveiled a new 5G edge cloud computing collaboration in December 2019 to provide developers with software to deploy IoT devices and neighbouring applications.
1. Quantum Supremacy
In October 2019, Google researchers released a report in the journal Nature and a blog post on the company’s website detailing that they had attained “quantum supremacy” for the first time. It was a very important discovery. Physicists claimed that their 53-bit quantum machine, nicknamed Sycamore, had measured everything that an ordinary computer—even a very powerful one—could clearly not have finished.
In 200 seconds, Sycamore made a complicated estimate. The same estimate would have taken 10,000 years on the world’s latest fastest traditional machine. Google has attained quantum dominance because a computer running on the laws of quantum mechanics has accomplished a task that no traditional computer could have completed in a fair period of time. It will take some time before quantum computers can solve realistic problems, in addition to the test problems running in the field. Yet the age of quantum computation has begun.
2. Edge Computing’s Hyper – Local Data centers
All new streaming services—Apple TV+, Peacock, Disney, HBO Max, Quibi—are joining a competitive area dominated by Netflix, Amazon, Hulu, and YouTube. Yet the dilemma is looming: compression and latency. As a result, we would need a lot of hyper-local data centers that are closer to customers. Amazon Web Services revealed in December 2019 that it would create local zones” near to major cities with the intention of handling latency-sensitive workloads.
3. A.I at its peak
With the spread of smart cameras and speakers, engineers are developing edge devices that can understand natural language, humans, pets, and artifacts. Nvidia’s EGX edge computing platform features a wide variety of GPU (graphics processing unit)-accelerated applications, including Helm charts (file collections) for Kubernetes deployment, or lightweight, open-source frameworks for handling “containerized” work and services. It also provides users access to third-party domain-specific, pre-trained templates and Kubernetes-ready Helm maps that make it easier to deploy applications or create personalized solutions.
No 4. Virtual Reality and Augmented Reality in Top 10 Technology Trends for 2020
Augmented reality and virtual reality are two ways in which technologies will transform your worldview. The terminology may be deceptive. People often assume that AR and VR are the same.
Virtual reality and augmented reality are increasingly used in technology, so it is important to know the difference. So, we’ll talk about both one by one and also discuss their trends.
1. Augumented Reality
Augmented reality is described as an enhanced version of reality created by using technology to add digital information on an image of something.” AR applications use your phone camera to show you a view of the real world in front of you and then add a layer of detail, like text and/or pictures, on top of that view.
Apps may use AR for entertainment, such as the Pokémon GO game, or details, such as the Layar app.
The Layar app will present fascinating information on places you are visiting using augmented reality. Open the app as you visit a site and read details about your view that exists in a layer.
The AR features of the app help you to locate ATMs, see property for sale, find restaurants, and more. You might also find new places that you didn’t know existed.
2. Virtual Reality
“The use of computer technology to create a simulated environment.” is characterized by virtual reality. If you see VR, you are looking at a reality that is totally different from the one you see. Like the animated scene, virtual reality, or an actual location photographed and built into a virtual reality app can be artificial. You can walk about to aim in any direction with the virtual reality – up, down, lateral, and back, as though you were there physically.
A special virtual reality viewer, such as Oculus Rift, helps you to experience virtual reality. Some virtual reality viewers, including Google Cardboard or Daydream Vision, use your phone and virtual reality applications.
You will visit locations like Mars surface, Mt. Everest, or areas far below the sea with virtual reality apps. The New York Times has a virtual reality app that helps you visit Earth and other virtual worlds. Google Earth also has an application for virtual reality.
No 5. Blockchain in Top 10 Technology Trends for 2020
Blockchain appears to be complex, and it can certainly be, but its basic principle is very plain. A database type is a blockchain. It helps first to understand what a database is to be able to understand blockchain.
A database is a compilation of records stored on a file server electronically. Data, or data, is usually arranged in table format in tables, so that such information is easier to scan and sort.
One key distinction between a conventional database and a blockchain is how the data is organized. A blockchain gathers information in groups, also known as blocks, that carry information sets. Blocks have certain storage capacities which, when loaded, are chained to the previously filled block, creating a chain of data known as the blockchain. All the knowledge that follows that the newly created block is compiled into a newly constructed block, which will then be added to the chain until filled.
As we now know, blocks on Bitcoin’s blockchain store money transaction details. But it points out the blockchain is also a secure way to store data about other forms of transactions. Any businesses that have already adopted blockchain are Walmart, Pfizer, AIG, Siemens, Unilever, and several others. For example, IBM has set up its Food Trust blockchain to track the path that food items take to get to their places.
1. Integration with banks
By incorporating blockchain into banks, users will have their purchases completed in as few as 10 minutes, effectively the period it takes to connect a block to the blockchain, regardless of holidays or the time of day or week. With blockchain, banks now have the ability to share funds between institutions more easily and more efficiently. For example, the settling and clearance process can take up to three days (or longer if dealing internationally), ensuring that the money and securities are frozen for that period of time.
2. In Healthcare Industry
Health care providers can use blockchain to archive the medical records of their patients safely. When a medical record is created and authenticated, it will be written to the blockchain, which gives evidence and trust to patients that the record cannot be altered. These personal health records could be encoded and stored on a private key blockchain such that they are only available to those people, thus preserving privacy.
3. Integration With Cryptocurrency
The blockchain of a cryptocurrency is the master ledger that usually tracks all previous purchases and operations, validating the ownerships of all units of the coin at any given period of time. The blockchain holds the complete transaction background of a cryptocurrency as a ledger. It has a limited length and a finite number of transactions that ultimately occur. Every node in the cryptocurrency software network contains identical copies of the blockchain. This decentralized server farms network is operated by technical experts or groups of people called miners. Miners monitor cryptocurrency transactions continuously and authenticate them.
Although some aspects dispute transactions in cryptocurrency show secrecy, the validity of their life. A technology to avoid these authenticity claims had to be built to guarantee that online cryptocurrency purchases were not only protected but that hackers could not install an impregnable firewall. This was the centerpiece of the blockchain. Besides offering a stable network, blockchains often ensure accountability is a prerequisite to all dealings of cryptocurrencies.
To know more about Cryptocurrency, read our full article on The Best Mode of Currency – Cryptocurrency.
No 6. Internet of Things (IoT) in Top 10 Technology Trends for 2020
The Internet of Things, which is IoT, comprises the thousands of physical gadgets worldwide, all data storage and sharing connected to the internet. The advent of super-cheap computer chips and the vast spectrum of wireless networks allow something to be turned into part of this technology, from anything as small as a pill to anything as huge as an airliner. The relation and addition of sensors to all these various items bring a degree of digital intelligence to otherwise stupid devices that allow the exchange of real-time data without a human being’s intervention. The Internet of Things makes the world around us more aware and sensitive and fuses the digital and physical worlds.
The Industrial Internet of Things (IIoT) or the Fourth Industrial Revolution or Industry 4.0 are both names assigned to the use of IoT technologies in business settings. The principle is the same as with the consumer IoT devices at home. The aim here is to measure and refine business processes by integrating sensors, wireless networks, big data, AI, and analytics.
Suppose the effect of just-in-time deliveries of goods and the processing of manufacturing from start to finish will be much better if the whole supply chain is implemented instead of just individual firms. The IIoT can also generate new income sources for firms rather than selling an individual product – for example, an engine – manufacturers may now sell predictive maintenance for their engines. Improved efficiency or cost savings are two possible goals.
According to research, worldwide IoT investment is expected to hit $745 billion in 2019, a rise of 15.4% over the $646 billion invested in 2018, according to IDC, and a $1 trillion mark in 2022.
IoT’s top sectors were expected to be discreet engineering ($119 billion in expenditure), process manufacturing ($78 billion), transport ($71 billion), and services ($61 billion). Projects to help inventory management will be crucial for manufacturers; freight tracking and fleet management will prioritize transport. IoT investment in the infrastructure market would be driven by smart grid schemes for power, gas, and water.
1. In the field of Manufacturing
Manufacturers are adding sensors to the components of their goods so that they can relay data on how they work. This will help businesses determine where the part is going to malfunction and switch it out before it does harm. Companies will then use the data generated by these sensors to make their processes and production chains more effective, so they can provide far more precise data on what is actually going on.
2. Used by Enterprises & Industries
Enterprise use of IoT can be split into two segments: industry-specific applications such as sensors in a generator or real-time healthcare facilities; and IoT products that can be found in all sectors, such as smart air conditioning or protection systems.
Although industry-specific goods will start to run early, by 2020, Gartner forecasts that cross-industry devices will hit 4.4 billion units, while vertical-specific devices will equate to 3.2 billion units. Consumers buy more products, but business spends more, the analyst community said that while customer spending on IoT devices last year was about $725 billion, business spending on IoT was $964 billion. By 2020, enterprise and customer spending on IoT hardware will cross almost $3tn.
No 7. 5G in Top 10 Technology Trends for 2020
5G is the broadband network of the 5th generation. It is a new unified standard for broadband networks 1G, 2G, 3G, and 4G. 5G allows a different network to connect practically all, including computers, objects, and smartphones.
5G wireless infrastructure is planned to offer faster data peak speed, ultra-low latency, improved reliability, large network capability, and expanded user flexibility for more users. Greater productivity and consistency would enable and link emerging markets and new consumer skills.
5G can offer greater bandwidth by extending spectrum services, from sub-3 GHz used in 4G to 100 GHz and beyond. This technology can work in both lower bands (e.g., sub-6 GHz) and mmWave (e.g., 24 GHz and up) that provide extreme power, multi-Gbps throughput, and low latency. 5G is planned to offer quicker, improved mobile broadband coverage than 4G LTE and extend into emerging service areas such as mission-critical networking and vast IoT access. This is made possible by several modern 5G NR air interface architecture strategies, such as a new self-contained TDD subframe design.
5G is an air interface that is more cohesive and capable. It has been designed with an improved capacity to allow next-generation customer interface, inspire new implementation models, and offer new services. With maximum speed, superior efficiency, and zero latency, 5G would extend the smartphone ecosystem into new realms. 5G would impact every sector, making travel safer, remote healthcare, precision agriculture, digital logistics—and more—real.
Through a landmark 5G Economy study, we found that this technology’s full economic impact is likely to be realized around the globe by 2035—supporting a wide range of industries and potentially allowing up to $13.2 trillion worth of goods and services. This influence is much greater than the previous generations of networks. Development demands for the modern 5G network extend to markets such as the car industry beyond conventional telecom network players.
The survey has also shown that up to 22.3 million jobs, or more than one job for each in China, can be fostered by the 5G value chain (including OEMs, providers, content creators, app developers, and consumers) alone. And there are several modern and evolving applications that will also be identified in the future. Only time will say what the full “5G effect is going to be on the economy.
1. Mobile broadband upgrade
Aside from upgrading our smartphones, 5G mobile connectivity will lead to new immersive experiences like VR and AR with higher, uniform data speeds, decreased lag, and lower per-bit costs.
2. Mission-critical communications
5G can offer new capabilities that can disrupt business sectors through ultra-secure, accessible, low latency connections such as essential infrastructure, remote control, cars, and medical procedures.
3. Massive IoT
With the potential to scale down in data speeds, power, and mobility, 5G can link a vast range of embedded sensors into nearly everything, delivering incredibly slim and cost-effective networking options.
No 8. Cyber Security & Cyber Warfare in Top 10 Technology Trends for 2020
Cyberwarfare is a computer-based or network-based conflict involving politically motivated nation-state attacks on another nation-state. In these types of attacks, actors from the nation-States aim to disrupt the operations, particularly for political or military purposes and cyber spying, of organizations or nation-states.
Cyber-attacks by one nation-state in another usually apply to cyberattacks. It can also describe attacks by extremist organizations or by groups of hackers to foster those nations’ agendas. Cyber attacks can be hard to attach to a nation-state as advanced APT actors perform them, but these attacks can also be connected to those nations. It is difficult to assign cyber attacks. While there are various examples in the recent history of suspicious cyberwar threats, there was no formal, accepted definition for a cyber “act of war,” it is widely agreed by experts that a cyber attack contributes directly to life loss.
Hackers affiliated with the North Korean government were responsible for the 2014 cyber attack on Sony Pictures after Sony released The Interview, a film showing North Korean leader Kim Jong-un in a negative light. During its analysis of the breach, the FBI noticed that code, encryption algorithms, data deleting methods, and infected networks were close to malware previously used by North Korean hackers. In comparison, hackers used a variety of IP addresses affiliated with North Korea.
The attack on the German Parliament in 2015, alleged to have been carried out by Russian intelligence services, caused major damage as the attack compromised 20,000 computers used by German politicians, support personnel, and civil servants. Critical data was stolen, and the attackers called for several million euros to clean up the damage.
Cybersecurity is the practice of protecting malicious threats against computers, routers, mobile devices, electronic platforms, networks, and records. It is also known as the protection of IT or electronic security of information. This concept occurs in various contexts and can also be categorized into several general categories from enterprise to mobile computer.
Cybersecurity is critical because political, military, business, financial, and medical institutions gather, analyze, and store unprecedented quantities of data on computers and other devices. A large amount of such data may be classified information, whether it be intellectual property, financial data, personal information, or other forms of data about which improper access or disclosure may negatively impact.
Organizations transfer confidential data through networks and other computers when conducting business. Computer protection defines the practice devoted to securing the information and the systems used to process or archive it. As the volume and complexity of cyber attacks increases, businesses and organizations, particularly those responsible for safeguarding information on national security, health, or financial data, need to take action to secure their confidential business and personal information.
In 2019, cybersecurity was seen as a big problem for both its sector and the general public. Cybersecurity has never become more important to companies between malware threats, credit card theft, and a tidal surge of new software launches (some with little to no protection measure in place). It is expected to begin in 2020 and long into the future.
In 2020, cyber-attacks will rise, not only from independent hackers that we have traditionally known in our heads but from nation-state actors that operate these attacks to exfiltrate data from governments and businesses. Although organizations are now more aware than ever of the value of cyber protection, many (if not most) are continuing to identify and enforce the requisite security steps.
No 9. 3D printing in Top 10 Technology Trends for 2020
3D printing or additive manufacturing is a process of making three-dimensional solid objects from a digital file. Additive processes do the development of a 3D printed model. An object is created in an additive process by laying down successive layers of material before the object is created. Both of these layers can be seen as a thinly sliced cross-section of the object. 3D printing is the opposite of the subtractive processing of a piece of metal or plastic using, for example, a milling machine. 3D printing helps you to create complicated forms with less content than conventional production processes.
Each 3D printer creates parts based on the same core principle: a computer model is converted into a physical three-dimensional structure by inserting a layer of material at a time. This is where the alternative word Additive Manufacturing derives from. This technology is a radically new means of making components from conventional subtractive (CNC) or formative (Injection molding) processing processes.
No special tools are needed for 3D printing (for example, a cutting tool with certain geometry or a mold). Instead, the component is created directly on the constructed platform layer by layer, contributing to a particular range of advantages and limitations.
The excitement of the last years was based on the concept of strong market approval. This was and is still a deceptive description of where technology really brings value. Today, this technology has sought unique positions in the industrial world. Increased aspirations in previous years have assigned their position to increased efficiency. Such technical aspects of this technology are now widespread and are adopted by academics as well as hobbyists.
3D printing, of course, is a technical advancement technology. New 3D printers are launched every year, which can have a huge effect on the industry. E.g., the first HP 3D printer system was released relatively late in 2016, but by 2017 it already was one of the most popular commercial 3D printers.
No 10. Data Science and Intelligent Apps in Top 10 Technology Trends for 2020
We live in the data age. Related data-driven innovations such as data analysis, deep learning, artificial intelligence, predictive analytics, etc., are connected to data-driven smart decision-making in applications. Nowadays, many scholars use the term “data science” to describe data analysis’s interdisciplinary area, pre-processing, inferring, or decision-making through analyzing data. Various scientific approaches, artificial learning techniques, procedures, and structures are generally known as computer science to understand and analyze real data phenomena.
According to a researcher, “data science is a new interdisciplinary field that synthesizes and builds on statistics, computer science, computing, communication, management, and sociology to study data and its environments, to transform data into insights and decisions through data-to-knowledge thinking and methodology.” As a high-level argument, the analysis of data is meant to provide data-driven solutions to the problems referred to as “data science.”
Intelligent applications deliver customized and intuitive user interfaces, where artificial intelligence, the Internet of Things, and data analytics are central components. Centered on this, we outlined smart applications’ characteristics to support mobile users in their day-to-day tasks. This technology’s key advantage is that it does not wait for consumers to make choices in different scenarios. Instead, applications can study customer behavior and produce tailored and actionable results using predictive analytical power. Apps can be of an adaptive nature.
Each consumer is diverse in their use, and the software’s adaptability plays a significant role. In other words, they can quickly update their expertise according to their surroundings to create an enriching user experience. Generating feedback and making choices based on consumer needs and preferences may be a fascinating aspect of an intelligent app. Such recommendations may differ from user to user, based on their preferences, and may help users determine what suits them best.
1. Artificial intelligence and intelligent apps access
Artificial Intelligence has become a popular technology for small and large companies and will flourish in the next few years. At present, we are at the early stage of artificial intelligence, but in 2020 we will see more sophisticated Artificial Intelligence implementations in all fields. This technology is growing increasingly because it helps businesses enhance their internal business practices and offers a simpler way to manage consumer and customer data.
While using artificial intelligence will remain a challenge for many, pursuing this technology’s development is not that easy. In 2020, we can see more innovative software created with Artificial Intelligence, Machine Learning, and other technology to change the way we operate. Another development that will take over the industry is advanced machine learning that will further improve data science and improved data processing. So you might need advanced training to carry out deep learning.
2. Professionals in Data Science in Demand
In the industry, the implementation of artificial intelligence and machine learning are the technology that leads to several new positions. The data science security specialists are one of the positions widely sought after. Data scientists must hold skills both in information science and power over informatics since both AI and ML focus solely on data and process it effectively.
We hope you enjoyed our post about trending technology. The work becomes challenging in this intensely competitive sector of technology. Yet you are surely obtaining your dream work as you want to grow and continue studying new instruments. You will find institutes which offer your preference. Or, search for the free classes and videos you want to hear about the new technologies.