Office1 Blog

Emerging Technology Trends You Need to Know in 2022

calendar icon February 3, 2022 | by Steve Ellis

Technology can potentially reinvent how we engage, collaborate, and work in a hyper-connected world. The COVID-19 pandemic set off two years of accelerated digital transformation and made remote work the norm.  In 2022, with the benefit of present and future technological advancements, we might be ready to enter the next level by working in the metaverse.  


It’s important for companies to keep up with the latest technology trends as they may lead to new business opportunities and competitive advantages. This year, it’s even more important as we’re on the cusp of a dramatic technological revolution that will change life as we know it. 


While previous years may have been dominated by blockchain technology and edge computing, this year promises to take it to the next level. From quantum computing to hyper-automation, the future is now! 


This year’s tech trends are geared towards working smarter and working efficiently in virtual and hybrid spaces. In this article, we will explore the top ten emerging technology trends in 2022 that we should know about.




1. Metaverse


Ever since Facebook’s CEO, CEO Mark Zuckerberg rebranded the company as Meta, there has been a considerable buzz about this space. In fact, the term “metaverse” is probably the hottest buzzword of the year! 


The metaverse is essentially a virtual world developed by combining different technologies, including virtual reality (VR), augmented reality (AR), mixed reality (MR), and extended (XR). Although it doesn’t exactly exist in the real world just yet, development is undoubtedly underway and accelerating. So, don’t be surprised to see a job listing on LinkedIn for metaverse research scientists or personalized avatar creators.


Pretty soon, you could probably conduct your weekly meetings anywhere in the metauniverse and get paid in cryptocurrencies (all on top of the blockchain network). For example, your next Zoom meeting might be set on a virtual beach where you can engage team members in a relaxed atmosphere. But it won’t stop there. It’ll change the way we shop, communicate and will probably blur the lines between the physical world and the virtual world. 


2. Hyperautomation


While the metaverse will probably hog all the headlines this year, 2022 is also the year of hyper-automation. This approach enables business model disruption, seamless remote operations, and scalability.


According to Gartner, hyperautomation a highly disciplined approach to business that concentrates on quickly identifying, vetting, and automating as many business and operational processes as possible. 


Hyperautomation isn’t just about Robotic Process Automation (RPA) and the like. While many startups are making waves with RPA, hyperautomation is what’s making an impact right now. Enterprises and government agencies that have already adopted hyperautomation now benefit significantly from it (especially when it comes to their bottom line). For example, they make better business-driven decisions, maintain an advantage through precise and scalable solutions, and deliver enhanced customer experiences.   


3. Cybersecurity Mesh


If you haven’t heard the term before, you better get used to it as your IT people will discuss it extensively this year. Cybersecurity mesh is the latest approach to a composable security architecture that seamlessly integrates an extensive range of widely distributed and disparate security services. The key here is that it supports interoperability and coordination between individual security products and helps formulate a more integrated security policy.


As such, cybersecurity mesh is all about implementing and extending security to where it’s most needed. This approach helps optimize flexibility, reliability, and scalability. Cybersecurity Mesh also puts you in the driver’s seat when it comes to consistent cybersecurity control. 


Its popularity is driven by its ability to better secure cloud computing services providers and distributed environments and ecosystems. It will help enforce context and policy adherence across both cloud and non-cloud environments. It also goes a long way in protecting your employees from hackers.


4. Decision Intelligence


Artificial Intelligence (AI) has a new confidant, Decision Intelligence (DI). We can define DI as a practical approach to improving organizational decision-making. Using AI and Machine Learning (ML), DI models every decision as a set of processes and then analyzes it. This approach helps AI inform, learn from, and refine its decision-making process.


In the coming years, DI can potentially help humans make better-informed decisions. We can also potentially automate it by leveraging AI, augmented analytics, and simulations. General use cases involve analyzing multiple factors, including internal and external factors, without the cognitive biases inherent in operational environments. 


4. Generative AI


Generative AI is something to get excited about. This is because these smart algorithms can learn about artifacts by translating them to data or extracting realistic textual descriptions from them. It can also create great content (audit, video, or text) and does so by revealing underlying patterns through Reinforcement Learning (RL).


While generative AI will generate innovative new creations that are similar to the original, it will never repeat it. As such, it can be a game-changer in fields like healthcare, research and development, and pharmaceuticals.


5. Quantum Computing


There’s been a buzz around quantum computing for several years now, but the reality just seemed too far away. Not anymore. Although quantum computers will be out of our price range for at least a decade, many new technologies in the marketplace already embrace quantum principles


These principles have the potential to supercharge the heavy compute power of many industries. One such use case is reimagining optimization algorithms to solve complex problems. From the biotech and pharmaceutical sectors to digital financial services, many can reap significant benefits from its highly scalable computing power.


6. Ambient Computing 


The Internet of Things (IoT) will continue to mature as device manufacturers refine user inputs. By leveraging Natural Language Processing (NLP) and multi-lens enrichment, we expect to see a significant transformation in user experiences. In this case, you can expect multiple devices to respond in concert to your voice queries. 


As sensor hardware continues to improve, user interfaces will get better, and our experiences with IoT will also become richer. They will also provide more opportunities for human device interactions. For example, you’ll be able to accomplish old tasks like selecting and scrolling by just speaking and giving feedback to the device.


These interactions will become more natural with time, and as adoption grows, you can expect to see many more connected endpoints at work, in your vehicle, and at home. Unsurprisingly, the driving force, in this case, is 5G connectivity that reduces latency and enables faster connection speeds.


We can also expect to witness the rise of the Internet of Behaviors (IoB), a branch of IoT. IoB will focus on meaningful user engagement and cater to their preferences in a manner that will positively impact your bottom line.


7. Privacy-Enhancing Computation (PEC)


In the current threat landscape, maintaining the privacy of your organization, customers, and employees is paramount. Privacy Enhancing Computation (PEC) helps us optimize the process that keeps users safe. It does this by allowing different parties to extract value from big data and benefit from actionable results without ever having or owning that data. 


As such, PEC is an excellent way to collaborate safely because you never have to share personal or sensitive data. Although the concept has been around for decades in academic circles, we haven’t seen it tested, proven, or refined until just recently.


Popular use cases for PEC include:


  • Fraud prevention
  • Internal data analytics
  • Healthcare and medical research


At a macro level, PEC makes it easy to buy and sell different cloud-based assets at early stages in marketplaces. In other words, it helps organizations create monetizing opportunities earlier on in the buyer’s journey. 


8. Cloud-Native Platforms (CNPs)


Cloud-Native Platforms (CNPs) enable the development of highly resilient application architectures that boast enhanced elasticity and agility. This approach helps enterprises rapidly respond to potential digital changes.


CNPs also optimize traditional lift-and-shift approaches to the cloud without adding more complexity to maintenance protocols. By deploying enterprise apps in a distributed environment, companies can also access significant cost savings. Organizations can also address their shortcomings more efficiently through automated tasks and associated actions.


9. Low-Code/No-code and Composable Applications


To make the move of technological advancements, you need a cultural change. Tech giants like Amazon and Microsoft consistently reimagine how they work, and so should we. 


Low code or no-code platforms are now well established and easy to use. So, even someone with no technical expertise can quickly prototype, iterate, and customize apps to meet the organization’s specific requirements. This approach can help accelerate innovation even if you don’t have a team of software engineers to lead your next project.


In the same vein, composable apps, developed from business-centric modular components, will help accelerate time to market. It allows you to do this by letting you use or reuse code. As this approach helps save a bunch of money and time, you can expect to see a lot more low code and composable apps in the months ahead.


10. Evolution of Distributed Enterprises 


As digital transformation made companies take a digital-first approach, distributed enterprises that embraced a remote-first business model were inevitable. In the years to come, we can expect this concept to evolve and better serve remote workers by improving their experiences.


This might even be a reasonable response to the great resignation as workers are leaving in search of work/life balance and better opportunities. As employers try to attract top talent, we can expect to focus more on developing and scaling distributed enterprises.


These emerging tech trends will help organizations accelerate and scale their digital capabilities to drive growth. Cutting-edge technology will also help enterprises solve common problems quickly and work more efficiently while differentiating themselves from the competition (and all this may happen in the metaverse).

Categories: Security, Cloud, Innovation, Strategy, IoT, AI, IT Management, 5G, Cloud Computing

Steve Ellis

About Steve Ellis

Snow hater, technology lover, information sharer, camper, biker, and hiker. Steve Ellis has been with Office1 since 1995. He’s filled many positions from a brand new copier tech to his current position serving as the VP of Professional Services. He has a passion for learning and sharing the knowledge that might make someone’s life easier. He holds several certifications including MCSA and MCITP. He is currently working on his CompTIA CySA+. Steve has been in the copier industry for more than 25 years and has been interested in tech since 2000.

blogs related to this

Top Tech Blogs and Podcasts to Follow

Technology changes so fast that companies must stay ahead of the curve by keeping their technology leaders on top of things. It takes a bit of both...

What Is Encryption, and How Does It Work?

In the current threat landscape, it would be unwise to think a business is too small for a cyberattack. Today, everyone, from multinational...

The 5 Common IT Issues SMBs are Facing

The technology hurdles small and medium-sized businesses (SMBs) face are often familiar. Probably the most common of them all is that most companies...