Top 8 Technology Trends for 2020 and Beyond
Top 8 Technology Trends for 2020 and Beyond

Top 8 Technology Trends for 2020 and Beyond

2020 is only around the corner with new technologies and approaches that bring us closer to the 4th Industrial Revolution. The rapid pace at which technology is evolving today makes it incredibly challenging but critical for companies to stay informed about every shift, every little progress in the digital world.

What was but a concept yesterday may as well become a normal tomorrow. From the exponential growth of the Internet of things, artificial intelligence, and immersive digital experiences into the future of data security, management, and storage, and here are the eight most promising technologies you ought to keep a keen eye at the next ten years.

Edge Computing

Though the adoption of cloud computing is growing exponentially -- Google Cloud, AWS (Amazon Web Services), Microsoft Azure--showing an ideal match for the needs of thousands of businesses nowadays, there are still many current and emerging technologies that call for a different approach to data processing.

Internet-of-Things systems, industrial automation, augmented reality, and other promising technologies which rely on high-speed computing require a significantly lower latency to reveal their full potential than cloud computing may provide now. This increases an increased interest in edge computing and its spread capabilities.

Edge computing is a distributed computing paradigm which may help IoT along with the associated tech skip high latency of cloud computing by bringing data processing and storage nearer to wherever it needs to occur --time-sensitive data computation occurs within the apparatus itself while the rest is implemented from the dispersed cloud. Thus, the devices become small, local data centers capable of effectively processing information in remote locations with limited or no connectivity to the cloud.

The thought of keeping visitors neighborhood and dispersed helps firms to drastically improve reaction times, save bandwidth, as well as empower greater autonomy of their software and hardware solutions. One of the most successful examples of computing is Amazon's PrimeAir and its own package delivery drones.

Drones, industrial and social robots, autonomous vehicles, in addition to various automated systems, all benefit from exceptional interconnectivity, infrastructure optimization, and reduced bandwidth costs due to computing. According to the report by Allied Market Research, the worldwide edge computing marketplace is expected to reach $16.55 billion by 2025 and create various new occupations, primarily for applications engineers.

Artificial Intelligence

Artificial intelligence is a term used to describe a huge variety of technologies and computer systems built to simulate human intelligence processes, including learning (the acquisition of data and principles for using the data ), reasoning (using rules to achieve approximate or definite conclusions) and also self-correction. It's been one of the greatest trends in the past few years and is likely to be one of the next great technological shifts.

While it's not exactly a new fad, AI is something to keep an eye on contemplating its amazing transformative potential. The adoption has already started across industries--from ubiquitous chatbots to complex predictive analytics applications --and the demand for AI-powered options is growing at a great pace. The statistic indicates that the worldwide AI applications market will reach approximately 15 billion dollars in 2020 which means AI is now turning into far more than just a trend.

Today AI-powered software is an integral part of digital conversion methods of any business out there. Artificial intelligence, machine learning, and other cognitive instruments induce automation throughout IT ecosystems. Organizations redesign their heart systems, establish new business approaches, and reorganize their processes around AI solutions and their most powerful cognitive possibilities: data-driven insights, data-informed decision making, and enhanced productivity.

Whereas large corporations and wealthy organizations have the capacity to design and deploy their own AI-powered systems, many SMEs would have to resort to different, less expensive approaches when embarking in their AI-fueled journeys. The most realistic choices to take into account in 2020 are AI-as-a-service and open-algorithm models.

Though still pretty pricey concerning customization to the particular tasks a company might need, the AI-as-a-service model will be an attainable option provided by the likes of Google, Amazon, IBM, and Microsoft. We can also anticipate an increasing pool of startups and sellers providing both paid AI services and open-algorithm models tailored for specific business needs and use cases at the next 2-3 decades.

Robotic Process Automation and Hyperautomation

Much like Artificial Intelligence and Machine Learning, Robotic Process Automation (RPA) is supposed to make our lives simpler through electronic transformation and automation of complex business processes -- information processing, workflow optimization, supply chain management, and another complex, repetitive tasks that formerly required humans.

While automation has always been a hot subject for a lot of employment disputes -- recent Forrester Research report estimates that automation now threatens about 9 percent of the global workforce -- now only 5 percent of occupations could be entirely automated. Over the next decade, the technology is more likely to change existing jobs, which makes them easier to do through partial automation, and significantly boost the demand for business analysts, software architects, engineers, and other IT personnel.

The second step in automation will be combining RPA with the above AI, ML -- as well as other automation applications, intelligent small business management applications, and process mining methods --that enable us to automate processes and augment people in much more impactful ways. This combination of processes and technologies is called hyper-automation.

The objective of hyper-automation is to realize the range of automation mechanisms that will enable machines to automate themselves with little to no outside help from humans -- discover, examine, design, measure, monitor and reassess.

Soon, hyper-automation will be used by companies worldwide to make DTOs (electronic twin of an organization), a dynamic, virtual model of a company, its products, services, and processes which enable businesses to examine and experiment with real-time, constant intelligence in a simulated environment. Such AI-fueled decision making will drive significant price and business opportunities for businesses that embrace it that the oldest in the next decade.

Extended Reality

Extended reality (XR) is a term that identifies the three representative kinds of immersive electronic experiences offered by computer technology and wearables: virtual reality (VR), augmented reality (AR), and also mixed reality (MR). VR is a full immersion into a digital environment in which you interact with digital objects using specific headsets with controls or multi-projected environments.

AR provides an interactive experience by enhancing real-world objects together with computer-generated perceptual information you can interact with through smartphones, pills, eyeglasses, and all kinds of other devices. In the end, MR pushes AR a step forward by merging virtual and real-world experiences where digital and physical objects co-exist and consumers may interact with digital objects placed in the real world and vice versa in real-time.

Even though XR technologies are largely applied in entertainment and experiential advertising now, they are altering the way we perceive and interact with the real and digital world. Back in 2020 and forth, these technologies are expected to be broadly implemented across numerous other domains such as health care, education, and retail.

Extended facts will be effectively employed for training, simulation, production, prototyping, business communication, e-commerce, customer involvement, and many different sorts of interactions between humans, businesses, machines, and information.

Intelligent Interfaces

Extensive capabilities of artificial intelligence, the Internet of items, robotics, edge computing, and protracted reality in conjunction with human-centered design techniques open the way for a system named Intelligent Interface. One of the most frequent features of those human-computer interfaces is the ability to collect dat$anonymous$$bout the user, predict what the user needs, and provide them with information or solutions more satisfactory to their needs.

The ancient birds of the intelligent-interfaces growth are conversational technologies like virtual supporters and voice-enabled wearables that enable you to interact with your environment and the electronic world hands-free. While we use these systems for giving easy commands to our smart houses and telephones, companies today successfully apply them in logistics, customer service, and field operations.

So much retail and marketing are revealing the largest interest in the evolution of intelligent interfaces to identify clients, examine their appearances, mood, and physical behavior, as well as monitor their electronic habits to push real-time promotions, recommendations, and target advertisements.

Such more efficient and intuitive ports will play a massive part in the Industry 4.0 transformation. During the next ten years, there'll be significant improvements in natural language processing, computer vision, facial recognition, eye tracking, emotion recognition, gesture control, and other relevant technologies which will drive the evolution of new, advanced intelligent interfaces for both personal and business needs.

Intelligent interfaces are going to be able to comprehend customers at a deeper level, providing them with much more personalized solutions and custom products. The convenience of intelligent interfaces and their cognitive capacities will help companies enhance the individual productivity of each employee and boost the company's overall operational efficiency.

We can even expect technology like brain-controlled ports, muscle-computer ports, and plasma calculating to grow in 2020, bringing us a great deal of mind-blowing chances in years to come.

Distributed Ledger Technology

Blockchain, one of the most renowned distributed ledger technologies, was a very controversial topic because back when Bitcoin, the very first cryptocurrency in the world, began on its own path. Today the technology continues to raise waves of heated discussions, mostly as a result of overhyped projects -- associated with blockchain-based cryptocurrencies -- which failed miserably and tens of thousands of scams that price ill-informed investors their fortunes. Nevertheless, 2020 may nevertheless be the year distributed ledger technology eventually washes the dirt off of its own reputation.

Today corporations around the world refuse to give up on DLTs' transformational capacity as a pragmatic approach to business issues across industries and use instances. DLTs have become their top-five strategic priority--IBM, Facebook, Microsoft, Alphabet, Samsung, Mastercard, Walmart, Oracle, Tencent--those and a lot more companies continue investing billions of dollars to the development of their cryptocurrencies, marketplaces, digital IDs, supply-chain management methods, and various other decentralized solutions.

During the next decade, these decentralized peer-to-peer systems are going to have the capability to reshape entire industries. DLT-based solutions have the capacity to enable trust between businesses and users, deliver transparency to company operations, improve traceability of different assets, lower costs of transactions, remove borders for value exchange, and ensure security and immutability of personal data.

Digital IDs, Data Security, and Privacy

Since the World Economic Forum stated back in 2011,"Personal data is becoming a new economic'asset class', a valuable resource for the 21st century that will touch all facets of society" From our hobbies to transaction history, more and more of our data ends up in the hands of big corporations like Facebook and Google.

They amass this dat$$anonymous$$nd use it for things like targeted advertising or even exchange it with other businesses which results in disastrous instances of misuse like the Facebook--Cambridge Analytica data scandal. And regrettably, there is not much you can do today to secure your data except entirely refusing the services of these companies or moving full offline.

As we become more aware of the value of our electronic identity and personal information, pervasive data collection, misuse scandals, and information breaches are causing a severe hope catastrophe to arise. People demand more control, transparency, and traceability of their data, they call for stricter regulations on data collection, storage, and processing.

The next decade may be that turning point when governments take legislative acts and streamline prevalent implementation of new technologies and practices for our privacy and security needs.

One of the most promising options in that management is digital ID, a foundational set of enabling technology that concentrate on providing people with full personal data ownership, control, and solitude. Such systems may be critical in a vast range of digital interactions involving governments, people, and businesses. And authorities do take actions in this direction.

The U.S. Commerce Department's National Institute of Standards and Technology (NIST) has awarded grants to numerous initiatives which support the goals of the National Strategy for Trusted Identities in Cyberspace (NSTIC) and seek to supply citizens with secure, resilient, and privacy-enhancing online identities.

Several other countries also have initiated the development of their own eID systems to help people not just safeguard their information but also deliver on Goal 16.9 of the Sustainable Development Goals (SDGs) set by the United Nations General Assembly in 2015 which claims:"By 2030, supply legal identity whatsoever, including birth registration."

According to the World Bank ID4D, several billion people on the planet are unable to show their identity and so lack access to critical services such as health care, social security, education, and finance. Worldwide adoption of Digital ID systems may change that.

DNA Digital Data Storage

Over the past few decades, the entire world has seen an exponential increase in the world Datasphere that, according to the prediction of the International Data Corporation, will keep growing at the annual rate of 61 percent and attain 175 zettabytes by 2025. Sooner or later cloud and traditional data centers will not have the capacity to efficiently store and preserve these staggering amounts of data, and of course the huge amounts of electricity they use to your purpose.

Besides, modern data-storage apparatus are not nearly reliable enough to be entrusted with storage. At some point, the world might have to adopt an entirely new way of preserving and handling data.

An extremely promising alternative to those HDDs, SSDs, and other electronic devices is DNA. Like the real ones -- carrying genetic instructions for the evolution, working, growth, and reproduction of known organisms on Earth -- synthesized strands of DNA will be able to store the encoded data in a very efficient, secure, and dependable manner.

The storage capacity and endurance of DNA exceeds digital apparatus by all means possible. A single gram of synthetic DNA can save over 215 petabytes of data. Moreover, under ideal conditions, such DNA can endure for more than 6 million decades. Its upkeep doesn't need much energy either.

Though still in the early phases of development, the technology is already being efficiently used to store and handle data with a small number of DNA-data-storage leaders demonstrating the very first outcomes. In 2016, Microsoft managed to store 200 megabytes of information in nucleotide strands of DNA. In June 2019, a startup called Catalog triumphed in encoding all 16 GB of English-language Wikipedia onto synthetic DNA. But if the technology is really good, what is stopping us from embracing it in this moment?

Unfortunately, DNA's ubiquitous practical use for a storage medium is hindered by exceptionally slow read/write times and enormous expenses. While studying and sequencing have gotten far less pricey in the past few years, writing remains debatable and ridiculously pricey. Who knows, perhaps through 5-10 years of comprehensive investigation and development, DNA will become a ubiquitous storage material that brings long-term data preservation and direction to an entirely new level.

The exceptional interconnectivity of computing, the cognitive capability of artificial intelligence, extended reality and its immersive possibilities, the ease of intelligent interfaces, the immutable amount of confidence set by distributed ledger technology, data protection and privacy goals aspired by digital IDs, along with the unfathomable potential of DNA as electronic information storage -- each of these technologies are already among us and their additional advancement will shape our future for 2020 and beyond.

To avoid being left behind in the highly aggressive digital-transformation race, follow these game-changing technologies, get on board, and get ready to grasp the infinite chances they present.

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