Technology:
Technology is now evolving at such a rapid pace that annual predictions of trends can seem out-of-date before they even go live as a published blog post or article. As technology evolves, it enables even faster change and progress, causing an acceleration of the rate of change, until eventually, it will become exponential.
Technology-based careers don’t change at the same speed, but they do evolve, and the savvy IT professional recognizes that his or her role will not stay the same. And an IT worker of the 21st century will constantly be learning (out of necessity if not desire).
What does this mean for you? It means staying current with technology trends. And it means keeping your eyes on the future, to know which skills you’ll need to know and what types of jobs you want to be qualified to do. Here are eight technology trends you should watch for in 2020, and some of the jobs that will be created by these trends.
We are amidst the 4th Industrial Revolution, and technology is evolving faster than ever. Companies and individuals that don't keep up with some of the major tech trends run the risk of being left behind. Understanding the key trends will allow people and businesses to prepare and grasp the opportunities. As a business and technology futurist, it is my job to look ahead and identify the most important trends. In this article, I share with you the seven most imminent trends everyone should get ready for in 2020.
According to the IDC Worldwide Semiannual Digital Transformation Spending Guide, the global annual spending on technologies and services is about to hit a whopping $2.3 trillion as foretasted. The spending on digital transformation (DX) is at an estimated compound annual growth rate of 17.1% for a period of five years (2019-23). In the post-digital world, along with digital realities, related products and services will be hyper-personalized. And to decipher that, we will require a technology vision that meets the requirements of constantly changing on-demand experiences.
Technology has become an intrinsic part of life – deeply embedded in how governments, businesses and people work and live. In a new report by Accenture, titled ‘Technology Vision 2020’, the firm’s authors outline fifteen large technology trends and developments that are set to reshape business and society in the coming years.
1. Artificial Intelligence (AI)
Artificial Intelligence, or AI, has already received a lot of buzz in recent years, but it continues to be a trend to watch because its effects on how we live, work and play are only in the early stages. In addition, other branches of AI have developed, including Machine Learning, which we will go into below. AI refers to computer systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns, and decision making. AI can do these tasks faster and more accurately than humans.
Five out of six Americans use AI services in one form or another every day, including navigation apps, streaming services, smartphone personal assistants, ride-sharing apps, home personal assistants, and smart home devices. In addition to consumer use, AI is used to schedule trains, assess business risk, predict maintenance, and improve energy efficiency, among many other money-saving tasks.
AI is one part of what we refer to broadly as automation, and automation is a hot topic because of potential job loss. Experts say automation will eliminate 73 million more jobs by 2030. However, automation is creating jobs as well as eliminating them, especially in the field of AI: Pundits predict that jobs in AI will number 23 million by 2020. Jobs will be created in development, programming, testing, support, and maintenance, to name a few. Artificial Intelligence architect is one such job. Some say it will soon rival data scientists in need for skilled professionals. To learn more about potential jobs in AI, read about building a career in AI or why you should earn an AI certification.
Artificial Intelligence (AI) is one of the most transformative tech evolutions of our times. As I highlighted in my book 'Artificial Intelligence in Practice', most companies have started to explore how they can use AI to improve the customer experience and to streamline their business operations. This will continue in 2020, and while people will increasingly become used to working alongside AIs, designing and deploying our own AI-based systems will remain an expensive proposition for most businesses.
For this reason, much of the AI applications will continue to be done through providers of as-a-service platforms, which allow us to simply feed in our own data and pay for the algorithms or compute resources as we use them.
Currently, these platforms, provided by the likes of Amazon, Google, and Microsoft, tend to be somewhat broad in scope, with (often expensive) custom-engineering required to apply them to the specific tasks an organization may require. During 2020, we will see wider adoption and a growing pool of providers that are likely to start offering more tailored applications and services for specific or specialized tasks. This will mean no company will have any excuses left not to use AI.
Artificial technology or AI is not a new term in the IT-sphere, but now there are further verticals of AI that are shaping the industries globally and this is eventually making the technology features in the top IT trends today.
AI technology trends, including products like AlterEgo, a mind-reading wearable, and citizen robots like Sophia, are promos on how big AI technology will get in 2020. Companies like Domino's and Doordash are already experimenting with drones and robot delivery.
Although at present, these latest emerging technologies are still riddled with glitches threatening human safety, looking at their enormous prospects, AI supplements are bound to become a technology trend in 2020.
AI and me:
Re-imagine the business through human and AI collaboration.Take a new approach that uses artificial intelligence to bring out the full power of people. Move beyond deploying AI for automation alone and push into the new frontier of co-creation between people and machines.
Collaborate, don’t just automate
Enterprises are only realizing a fraction of the potential of AI – and ultimately their employees. By finding more collaborative use cases and building the capabilities needed for AI and people to work together seamlessly, they will amplify the best qualities of both.
Context matters
To collaborate successfully, humans and machines need to better understand one another. Advances in natural language processing (NLP) and computer vision can help machines understand people and their surroundings. And prioritizing explain-ability will help organisations ensure that people understand AI.
Re-imagine what you do
Businesses that facilitate human-machine collaboration today will be able to re-imagine every aspect of their organisation, from the way they design products, to the way they hire and train employees. True pioneers will use these capabilities to reinvent the entire business from the ground up – tackling bigger challenges and building the next generation of the intelligent enterprise.
2. Machine Learning
Machine Learning is a subset of AI. With Machine Learning, computers are programmed to learn to do something they are not programmed to do: they learn by discovering patterns and insights from data. In general, we have two types of learning, supervised and unsupervised.
While Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning, including neural networks, natural language processing (NLP), and deep learning. Each of these subsets offers an opportunity for specializing in a career field that will only grow.
Machine Learning is rapidly being deployed in all kinds of industries, creating a huge demand for skilled professionals. The Machine Learning market is expected to grow to $8.81 billion by 2022. Machine Learning applications are used for data analytics, data mining and pattern recognition. On the consumer end, Machine Learning powers web search results, real-time ads, and network intrusion detection, to name only a few of the many tasks it can do.
In addition to completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs rank among the top emerging jobs on LinkedIn, with almost 2,000 job listings posted. And these jobs pay well: In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.
3. Robotic Process Automation or RPA
Like AI and Machine Learning, Robotic Process Automation, or RPA, is another technology that is automating jobs. RPA is the use of software to automate business processes such as interpreting applications, processing transactions, dealing with data, and even replying to emails. RPA automates repetitive tasks that people used to do. These are not just the menial tasks of a low-paid worker: up to 45 percent of the activities we do can be automated, including the work of financial managers, doctors, and CEOs.
Although Forrester Research estimates RPA automation will threaten the livelihood of 230 million or more knowledge workers or approximately 9 percent of the global workforce, RPA is also creating new jobs while altering existing jobs. McKinsey finds that less than 5 percent of occupations can be totally automated, but about 60 percent can be partially automated.
For you as an IT professional looking to the future and trying to understand technology trends, RPA offers plenty of career opportunities, including developer, project manager, business analyst, solution architect, and consultant. And these jobs pay well. SimplyHired.com says the average RPA salary is $73,861, but that is the average compiled from salaries for junior-level developers up to senior solution architects, with the top 10 percent earning over $141,000 annually. So, if you’re keen on learning and pursuing a career in RPA, the Introduction to Robotic Process Automation (RPA) course should be the next step you take to kickstart an RPA career.
4. Edge Computing
Formerly a technology trend to watch, cloud computing has become mainstream, with major players AWS (Amazon Web Services), Microsoft Azure and Google Cloud dominating the market. The adoption of cloud computing is still growing, as more and more businesses migrate to a cloud solution. But it’s no longer the emerging technology.
As the quantity of data we’re dealing with continues to increase, we’ve realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a data center for processing. It can exist “on the edge,” if you will, closer to where computing needs to happen. For this reason, edge computing can be used to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can act like mini datacenters. Edge computing will increase as the use of the Internet of Things (IoT) devices increases. By 2022, the global edge computing market is expected to reach $6.72 billion. As with any growing market, this will create various jobs, primarily for software engineers.
If you wish to get a thorough understanding of edges means, and how is it different from cloud computing, give it a read here!
5. Virtual Reality and Augmented Reality
Virtual Reality (VR) immerses the user in an environment while Augment Reality (AR) enhances their environment. Although VR has primarily been used for gaming thus far, it has also been used for training, as with VirtualShip, a simulation software used to train U.S. Navy, Army and Coast Guard ship captains. The popular Pokemon Go is an example of AR.
Both VR and AR have enormous potential in training, entertainment, education, marketing, and even rehabilitation after an injury. Either could be used to train doctors to do surgery, offer museum-goers a deeper experience, enhance theme parks, or even enhance marketing, as with this Pepsi Max bus shelter.
There are major players in the VR market, like Google, Samsung, and Oculus, but plenty of startups are forming and they will be hiring, and the demand for professionals with VR and AR skills will only increase. Getting started in VR doesn’t require a lot of specialized knowledge. Basic programming skills and a forward-thinking mindset can land a job, although other employers will be looking for optics as a skill-set and hardware engineers as well.
6. Extended Reality
Extended Reality (XR) is a catch-all term that covers several new and emerging technologies being used to create more immersive digital experiences. More specifically, it refers to virtual, augmented, and mixed reality. Virtual reality (VR) provides a fully digitally immersive experience where you enter a computer-generated world using headsets that blend out the real world. Augmented reality (AR) overlays digital objects onto the real world via smartphone screens or displays (think Snapchat filters). Mixed reality (MR) is an extension of AR, that means users can interact with digital objects placed in the real world (think playing a holographic piano that you have placed into your room via an AR headset).
These technologies have been around for a few years now but have largely been confined to the world of entertainment – with Oculus Rift and Vive headsets providing the current state-of-the-art in videogames, and smartphone features such as camera filters and Pokemon Go-style games providing the most visible examples of AR.
From 2020 expect all of that to change, as businesses get to grips with the wealth of exciting possibilities offered by both current forms of XR. Virtual and augmented reality will become increasingly prevalent for training and simulation, as well as offering new ways to interact with customers.
7. Cybersecurity
Cybersecurity might not seem like emerging technology, given that it has been around for a while, but it is evolving just as other technologies are. That’s in part because threats are constantly new. The malevolent hackers who are trying to illegally access data are not going to give up any time soon, and they will continue to find ways to get through even the toughest security measures. It’s also in part because new technology is being adapted to enhance security. As long as we have hackers, we will have cyber security as an emerging technology because it will constantly evolve to defend against those hackers.
As proof of the strong need for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs. However, we’re falling short when it comes to filling those jobs. As a result, it’s predicted that we will have 3.5 million unfilled cybersecurity jobs by 2021.
Many cyber security jobs pay six-figure incomes, and roles can range from the ethical hacker to security engineer to Chief Security Officer, offering a promising career path for someone who wants to get into and stick with this domain.
8. Blockchain Technology
Although most people think of blockchain technology in relation to cryptocurrencies such as Bitcoin, blockchain offers security that is useful in many other ways. In the simplest of terms, blockchain can be described as data you can only add to, not take away from or change. Hence the term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. In addition, blockchains are consensus-driven, so no one entity can take control of the data. With blockchain, you don’t need a trusted third-party to oversee or validate transactions. You can refer to our Blockchain tutorial for a detailed and thorough understanding of the technology.
Several industries are involving and implementing blockchain, and as the use of blockchain technology increases, so too does the demand for skilled professionals. In that regard, we are already behind. According to Techcrunch.com, blockchain-related jobs are the second-fastest growing category of jobs, with 14 job openings for every one blockchain developer. A blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology. The average yearly salary of a blockchain developer is $130,000. If you are intrigued by Blockchain and its applications and want to make your career in this fast-growing industry, then this is the right time to learn Blockchain and gear up for an exciting future.
Blockchain is a technology trend that I have covered extensively this year, and yet you’re still likely to get blank looks if you mention it in non-tech-savvy company. 2020 could finally be the year when that changes, though. Blockchain is essentially a digital ledger used to record transactions but secured due to its encrypted and decentralized nature. During 2019 some commentators began to argue that the technology was over-hyped and perhaps not as useful as first thought. However, continued investment by the likes of FedEx, IBM, Walmart and Mastercard during 2019 is likely to start to show real-world results, and if they manage to prove its case, could quickly lead to an increase in adoption by smaller players.
And if things are going to plan, 2020 will also see the launch of Facebook's own blockchain-based crypto currently Libra, which is going to create quite a stir.
If you would like to keep track of these technologies, simply follow me on YouTube, Twitter, LinkedIn, and Instagram, or head to my website for many more in-depth articles on these topics.
9. Internet of Things (IoT)
Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet—and to each other. Hence, the Internet of Things, or IoT. The Internet of Things is the future and has already enabled devices, home appliances, cars and much more to be connected to and exchange data over the Internet. And we’re only in the beginning stages of IoT: the number of IoT devices reached 8.4 billion in 2017 is expected to reach 30 billion devices by 2020.
As consumers, we’re already using and benefiting from IoT. We can lock our doors remotely if we forget to when we leave for work and preheat our ovens on our way home from work, all while tracking our fitness on our Fitbits and hailing a ride with Lyft. But businesses also have much to gain now and in the near future. The IoT can enable better safety, efficiency, and decision making for businesses as data is collected and analyzed. It can enable predictive maintenance, speed up medical care, improve customer service, and offer benefits we haven’t even imagined yet.
However, despite this boon in the development and adoption of IoT, experts say not enough IT professionals are getting trained for IoT jobs. An article at ITProToday says we’ll need 200,000 more IT workers that aren’t yet in the pipeline, and that a survey of engineers found 25.7 percent believe inadequate skill levels to be the industry’s biggest obstacle to growth. For someone interested in a career in IoT, that means easy entry into the field if you’re motivated, with a range of options for getting started. Skills needed include IoT security, cloud computing knowledge, data analytics, automation, understanding of embedded systems, device knowledge, to name only a few. After all, it’s the Internet of Things, and those things are many and varied, meaning the skills needed are as well.
10. 5G data networks
The 5th generation of mobile internet connectivity is going to give us super-fast download and upload speeds as well as more stable connections. While 5G mobile data networks became available for the first time in 2019, they were mostly still expensive and limited to functioning in confined areas or major cities. 2020 is likely to be the year when 5G really starts to fly, with more affordable data plans as well as greatly improved coverage, meaning that everyone can join in the fun.
Super-fast data networks will not only give us the ability to stream movies and music at higher quality when we’re on the move. The greatly increased speeds mean that mobile networks will become more usable even than the wired networks running into our homes and businesses. Companies must consider the business implications of having super-fast and stable internet access anywhere. The increased bandwidth will enable machines, robots, and autonomous vehicles to collect and transfer more data than ever, leading to advances in the area of the Internet of Things (IoT) and smart machinery.
11. Autonomous Driving
While we still aren’t at the stage where we can expect to routinely travel in, or even see, autonomous vehicles in 2020, they will undoubtedly continue to generate a significant amount of excitement.
Tesla chief Elon Musk has said he expects his company to create a truly “complete” autonomous vehicle by this year, and the number of vehicles capable of operating with a lesser degree of autonomy – such as automated braking and lane-changing – will become an increasingly common sight. In addition to this, other in-car systems not directly connected to driving, such as security and entertainment functions – will become increasingly automated and reliant on data capture and analytics. Google's sister-company Waymo has just completed a trial of autonomous taxis in California, where it transported more than 6200 people in the first month.
It won’t just be cars, of course – trucking and shipping are becoming more autonomous, and breakthroughs in this space are likely to continue to hit the headlines throughout 2020.
With the maturing of autonomous driving technology, we will also increasingly hear about the measures that will be taken by regulators, legislators, and authorities. Changes to laws, existing infrastructure, and social attitudes are all likely to be required before autonomous driving becomes a practical reality for most of us. During 2020, it's likely we will start to see the debate around autonomous driving spread outside of the tech world, as more and more people come round to the idea that the question is not "if," but "when," it will become a reality.
12. Personalized and predictive medicine
Technology is currently transforming healthcare at an unprecedented rate. Our ability to capture data from wearable devices such as smartwatches will give us the ability to increasingly predict and treat health issues in people even before they experience any symptoms.
When it comes to treatment, we will see much more personalized approaches. This is also referred to as precision medicine which allows doctors to more precisely prescribe medicines and apply treatments, thanks to a data-driven understanding of how effective they are likely to be for a specific patient.
Although not a new idea, thanks to recent breakthroughs in technology, especially in the fields of genomics and AI, it is giving us a greater understanding of how different people’s bodies are better or worse equipped to fight off specific diseases, as well as how they are likely to react to different types of medication or treatment.
Throughout 2020 we will see new applications of predictive healthcare and the introduction of more personalized and effective treatments to ensure better outcomes for individual patients.
13. Computer Vision
In computer terms, “vision” involves systems that are able to identify items, places, objects or people from visual images – those collected by a camera or sensor. It’s this technology that allows your smartphone camera to recognize which part of the image it's capturing is a face, and powers technology such as Google Image Search.
As we move through 2020, we’re going to see computer vision equipped tools and technology rolled out for an ever-increasing number of uses. It’s fundamental to the way autonomous cars will “see” and navigate their way around danger. Production lines will employ computer vision cameras to watch for defective products or equipment failures, and security cameras will be able to alert us to anything out of the ordinary, without requiring 24/7 monitoring.
Computer vision is also enabling face recognition, which we will hear a lot about in 2020. We have already seen how useful the technology is in controlling access to our smartphones in the case of Apple's Face-ID and how Dubai airport uses it to provide a smoother customer journey. However, as the use cases will grow in 2020, we will also have more debates about limiting the use of this technology because of its potential to erode privacy and enable 'Big Brother'-like state control.
Edge computing- Bridging the Gap Between Data Storage and Computation
Today, the primary concern of every industry is the laggy approach that sometimes affects the overall management of the operations. Therefore, industries are focusing more on the efficiency and the response rate of computing, through which data analysis is made. And here comes the role of edge computing.
Edge computing brings data storage and computation closer to the businesses, and hence, ameliorates the response times and saves bandwidth. Also, it weighs more like the latest trend in technology because the industries are rapidly empowered with sophisticated and specialized resources, which is bound to reduce the latency.
14. The primary advantages of Edge computing include
Edge computing enhances the security to a new level by countering the issues of local compliance, privacy regulations, and data sovereignty. Although many believe that edge computing, in fact, expands the vulnerable surface for attacks, it clearly nullifies the impact of an organization.
Speed gets massively enhanced with the help of edge computing as it reduces the amount of latency. For example, autonomous vehicles require faster processing of data since every millisecond matters on the roads matters. By confining data analysis to the edge, the speed of processing the data can be massively improved.
Edge computing reduces the cost of retaining the data significantly by categorizing each data from the management perspective. As data can be retained in edge locations, it significantly reduces the bandwidth cost and all but eliminates the redundant storage.
As of now, edge computing is being fueled by the rapid evolution of the Internet of Things (IoT) and in the future, it will create an unstructured architecture over a set of distributed cloud services. For instance, we have drones that directly communicate with the enterprise IoT platform and conduct peer-to-peer exchanges. One such example is the latest package delivery drone by Amazon.
In the below video, you can see a cohesive demonstration of the massive Amazon Zeppelin which acts as a mothership to all the delivery drones. The drones have swanky posh features that any geek will embosom right away. Things like Hybrid design, fully powered AI, a variety of sensors to detect static and dynamic objects, peerless air stability and stamina, safeguarded rotors and environment-friendly features exude the transcendental growth among delivery drones.
15. Democratization- A Democracy in Technology
The term democratization is derived from the word democracy. Like in a democracy, everyone has equal rights and responsibility, similarly, the democratization of technology refers to the easy access of technical domain to everyone, irrespective of their profession and place.
Gartner asserts four key aspects of the democratization of technology trends that will make it bigger in 2020:
Application development
Design
Knowledge
Data and analytics
The best example of democratization can be credited to the developers, who will be able to generate data models without learning the skills of a data scientist.
However, there is still a concern about the future use of the latest technology trends in information technology as this because it will also enable people to exploit easy-to-use tools, which may pose harm to society.
16. Human Augmentation- Enhancing Cognitive Abilities
Human augmentation can be defined as a process by which a person’s physical and cognitive ability is strengthened. Once implanted in a human being, it will enable the person to execute tasks that were earlier impossible for him.
For instance, we have miners who use wearables to enhance their safety. Then the cases of human augmentation in soldiers are a highly anticipated topic and are in pursuit behind the curtains by the armed forces of many countries, as per reports.
The augmentation of humans will not only enhance the physical endurance of a person but it will also enhance the human’s ability to think and decide better. To put it simply, we can say that human augmentation does hold substantial potential in the future of technology.
17. Distributed Cloud- Connecting Operations to Cloud Services
The trends in cloud storage and cloud computing are already embraced by industries across the globe and the next big thing that is going to hit the tech ecosystem is the distributed cloud system. Distributed Cloud helps in connecting the public cloud distributed operation of cloud services to specific locations.
It’s expected that by 2020, 75% of the enterprise-generated data will be processed regardless of the centralized data center. This new upcoming technology of 2020 will be a significant breakthrough in cloud infrastructure.
Distributed Cloud is still in its infancy and there is a long way to go. Many companies are up with their service subsets to be used in a distributed way.
18. DARQ- An Asset for Hiring and Training
Shaping as one of the recent trends in technology this year, Distributed ledger technology (such as blockchain), Artificial intelligence (AI), Extended reality (including virtual and augmented reality), and Quantum computing, abbreviated to DARQ form one such future technology trend of 2020 that business must integrate on priority. So, when you approach hiring, training, and employee retention in 2020, keep DARQ in mind.
Volkswagen, for instance, is already cashing in on one of the biggest new technology trends of 2020. It uses quantum computing to test traffic flow optimization and accelerate battery development.
The company is also testing distributed ledgers to provide automatic payments at gas stations, create tamper-proof odometers, protect cars from hackers and more. Similarly, it’s using AR instructions to help service employees repair vehicles.
Taking all these use cases of DARQ into consideration, we can say that its existence in 2020 is beyond shadow of doubt.
19. Personal Profiling- Enhancing Adaptation to Latest Technologies
Digital integration into people’s lives has become so deep that data analytics has more information than they could ever analyze with current technology. As consumer analytics becomes a crude priority of every business, the latest tech trend is profiling consumers by examining how they interact with the technology in hand.
To analyze the gateways to profiling user spending patterns, we need to answer questions like:
What social media apps do they most visit?
How do they curate their social profiles?
What pictures do they post?
What all places they check into on social media?
The trick here for businesses is to integrate and adapt to an individual’s preference for the latest technology. Gillette is one such example that has partnered with 3D printing startup Formlabs to offer customized razor designs.
Despite having a promising future, a top technology trend like this raises one glaring question – where is consumer consent in this personal profiling and where do we draw the socially acceptable line and how will this line differ from consumer to consumer?
Well, for that, we have to wait and observe the manner in which personal profiling will be deployed by businesses in 2020.
20. Momentary Markets- For the Transformation of Customer Analytics and Advertising
Real-time opportunities to capture "momentary markets" will change the face of customer analytics and advertising in ways hard to imagine. As digital realities get more sophisticated and narrowed down to an exclusive reality of each moment, global technology trends will align towards more customized and on-demand experiences to fulfill customer needs.
To do this, businesses will need to combine real-time analytics capabilities with sophisticated back-end systems to capture constantly altering customer needs. Pairing this with constantly updating digital demographics will open new alleys for businesses to discover unmet customer needs.
21. Automation- For Advancements in Analytics
One of the most emerging trends in information technology, Automation is aimed to augment people and propel business operations. It combines packaged software, machine learning, and automation tools to deliver the results. In the next couple of years, automation of data science will empower scientists to churn out advanced analysis.
For example, businesses in retail will need it to compete with cashier-less AMAZON GO stores. Automation has already had us welcome cashier-less AMAZON Go stores across the US, but according to CNBC, the number will be 3,000 of its cashier-less AMAZON GO stores by 2021.
According to a PWC report, automation will go through three waves of automation:
Algorithmic displacing around 3% to 30% of jobs from the early 2020s to mid-2020s.
Augmentation increasing these percentages higher as technology improves itself.
Autonomy wave that is predicted to surface in the mid-2030s.
22. Reskilling- Upscaling Human's Digital Sophistication
The speed at which machines are learning and upscaling, human workers’ digital sophistication will be a must-have in the latest technology trends in 2020. The present human workforce is dealing with a disruptive digital transformation where cloud, analytics and digital wave may still stand essential for groundwork but are no longer the crown jewels of “disruptive technologies.” Yet the human workforce is still recruited, trained, and assessed in pre-digital ways.
To integrate new technology in 2020, businesses need to train their workforce in a post-digital manner. For instance, the next-gen workforce needs to be trained in Augmented Reality, Virtual Reality, Internet of Things, Blockchain, and Artificial Intelligence, among other future trends in technology that are bound to make an appearance in the technology vision of 2020.
23. Medical Upgrade- The Rise of 3D Printing
A much-anticipated tech trend in 2020 will be the sophistication of technology upgrades in the medical field. 3D printing will open a new business of advanced prosthetics as many universities are expanding their research in 3D printing of bionic body parts.
Scientists at Princeton University, New Jersey, for instance, have 3D printed a "bionic ear" that can "hear" radio frequencies far beyond the range of normal human capability.
Similarly, telemedicine and virtual diagnosis powered by AI and AR will need businesses to rework their business model in medicine.
24. Digital Debit- Growth in Adoption of Digital Transactions
Facebook’s cryptocurrency project Libra is expected to be completely fleshed out and in sync with government regulations by 2020. As cryptocurrency gains stronger credibility and digital payment systems like Google Pay and Amazon Pay grow in use, traditional banking will lose its ground.
In 2020, traditional banks will hold greater value, but businesses will need to carve out more adoption space for growing digital transaction sources. It’s no coincidence that banks like Bank of America are gathering blockchain patents.
What’s Next in Technology?
Technology trends in 2020 will come with both unfathomable innovation and intricate connectivity, drawing the social responsibility of businesses to respect the ethical lines of the consumer data breach. According to the PwC report, AI Products by 2030 will contribute over $15.7 trillion to the global economy.
Analytics will see dramatic changes for businesses in terms of product modification. A machine learning app developed by Sam’s Club is already using machine learning to analyze customers’ past purchases and auto-fill their shopping lists. It also plans to add a navigation feature, which will show optimized routes through the store to each item on that list.
While this suggests more sophisticated consumer satisfaction and better business, it also begs the question of what is the real cost of consumer analytics in 2020 collected for these services.
In 2020, businesses not only need to come together to form a cyber-secure ecosystem but also review their take on data analytics. For that to happen, the present staff needs to be well trained for the latest trends in information technology and the process should be followed accordingly. We expect to catch sight of a technological advanced world with conclusive use cases of all the above mentioned technologies.
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