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Top Technology Trends for 2022

From network security services to artificial intelligence, 2022 will no doubt be tech-heavy. To know more about the top tech trends, read this blog.

Top Technology Trends for 2022

Top Technology Trends for 2022

Digital transformation will define 2022 — and perhaps beyond — no less due to the impact of the ongoing COVID-19 crisis. Within a year of lockdowns, digitisation has accelerated by between three and four years for customer interaction and upwards of ten years for products and services. It’s all the more imperative that businesses don’t get left behind in this day and age. (1)

Industry analysts expect the company of the future to be decked out with technology and skilled personnel to manage them. In this post, you’ll learn some trends that’ll most likely see extensive use next year.

Cloud computing

Various industry leaders agree that the cloud will be at the heart of any digitisation effort moving forward. Automating business processes, enriching customer experience, offering new products and services — all these and more will hinge on cloud technology.

Leading the change in this domain are cloud-native application protection platforms (CNAPPs). These integrated solutions will help businesses make their cloud applications compliant with the constant stream of data privacy laws and updates. At the same time, CNAPPs allow the creation of more flexible yet powerful cloud-based apps. (2)

Top 5 Benefits of Cloud Computing

There are many benefits of migrating your business to the cloud. But here are five of the best ones.

  1. It promotes business scalability
  2. It can save costs
  3. It provides better business insights
  4. It allows faster disaster recovery and business continuity
  5. It enables improved business interaction and collaboration

NIST Specify 5 Characteristics of Cloud Computing

  • On-demand self-service involves customers using a website or similar control panel interface to provision computing resources such as additional computers, network bandwidth or user email accounts, without requiring human interaction between customers and the vendor.
  • Broad network access enables customers to access computing resources over networks such as the internet from a broad range of computing devices such as laptops and smartphones.
  • Resource pooling involves vendors using shared computing resources to provide cloud services to multiple customers. Virtualisation and multi-tenancy mechanisms are typically used to both segregate and protect each customer and their data from other customers, and to make it appear to customers that they are the only user of a shared computer or software application.
  • Rapid elasticity enables the fast and automatic increase and decrease to the amount of available computer processing, storage and network bandwidth as required by customer demand.
  • Pay-per-use measured service involves customers only paying for the computing resources that they actually use, and being able to monitor their usage. This is analogous to household use of utilities such as electricity.

Hyper-automation

Automation is a concern for at least three out of five employed individuals because of the risk of being replaced with machines. While the World Economic Forum estimates that automation will displace 85 million jobs worldwide, automation will create close to 100 million jobs. (3)

Reskilling or upskilling the workforce won’t come easy, but it’s a crucial consideration for the process of hyper-automation. This approach involves assessing the roles that can be better left to automation and selecting the right system to manage them. It entails adopting an extensive array of automated solutions ranging from artificial intelligence (AI) to deep machine learning. (2)

Quantum computing

Despite being primarily a mystery and constrained by known physics, quantum computing has found its way to some industries. One financial management giant was quick to announce that quantum algorithms could be making market forecasts in five years. But how can this possibly work if it still has scientists scratching their heads? (4)

 

Experts believe that quantum computing will accelerate the computing power of devices and machines further than what Moore’s Law dictates (double every two years). This comes from a growing need among businesses to perform combinatorics, crunching numbers both as a means to an end and the end itself. The computing power available right now struggles with this. (4)(5)

The necessary technology to perform quantum computing has been here all along, primarily in encryption. It can make big data management more convenient and yield more accurate results, either of which leads to sounder business decisions. (4)

Post-Quantum Cryptography: the Good, the Bad, and the Powerful

Open-source software

A code or program that’s open source means anyone can access and alter it to suit their needs regardless of circumstances. These days, it’s getting harder not to take this trend seriously. Tech giants once opposed to such an idea are now among the fastest to adopt it.

One contributing factor for the rise of open-source software is the increase in cross-corporate or cross-industry collaboration. With businesses working together more often than before, enabling more open access to codes or programs allows them to get more work done. Remote work forced by the pandemic only made collaboration more crucial.

Silicon-based photonics

The growing utilization of big data demands faster and more efficient ways to transmit them. Silicon chips still get the job done, but experts say they’re approaching the limits of their performance. The next generation of chips will have to prioritize enhancing speed, reducing latency and, strangely enough, detecting light signals. (5)

Future hardware, especially those used in data centres, may feature silicon photonics. Instead of electric signals, this technology uses semiconductor lasers to transmit data in a far shorter period (electricity only travels at 1/100th the speed of light). It’ll undoubtedly be a game-changer in big data management in the coming years.

AI engineering

Adopting AI must first begin with businesses understanding where the technology works well and where it does not.  For example, issues related to creativity or intuition are not very well suited for AI.  AI works best when it helps a human make a decision, not replace it.

Businesses globally are paying AI engineering-related workers six figures on average — and for good reason.  As the tech trends explained earlier indicate, there’s plenty of room for such jobs to flourish over the next year or so. This profession can expedite the delivery of AI-operated programs and models.

One recent development in the field is generative AI. By programming it to learn from patterns in media data, the AI can generate new content in various forms. (2)

The Animated Guide To Artificial Intelligence

Accelerating sustainability

Technology will need to meet the demand of consumers, governments and investors who all want to see greater environmental accountability.  To-date ‘going green’ has been optional, but we see this becoming a must-have.

Technology is a major factor contributing to climate change however, it does make our everyday lives more sustainable by supporting smart cities and solutions to optimise traffic and reduce pollution.

Two key trends to note are first that investors are increasingly aware of the need for sustainable practices and prefer companies with strong environmental, social and governance standards.   Furthermore, consumers are beginning to change their purchasing decisions based on the perceived sustainability stance of a company.

Some other implications include government policies and legislation that mandate efficiency and sustainability.

Takeaway

Digital transformation next year won’t be confined to these technologies. The world’s greatest minds seem to be finding new ways of doing things every year, if not every several months. The road ahead would be no less laden with tech.

References

  1. “How COVID-19 has pushed companies over the technology tipping point—and transformed business forever”, Sources: https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/how-covid-19-has-pushed-companies-over-the-technology-tipping-point-and-transformed-business-forever
  2. “Gartner Top Strategic Technology Trends for 2022”, Sources: https://www.gartner.com/en/information-technology/insights/top-technology-trends
  3. “Automation by the numbers: 11 stats to know”, Sources: https://enterprisersproject.com/article/2021/11/automation-11-statistics-know
  4. “Quantum Computing Is Coming. What Can It Do?” https://hbr.org/2021/07/quantum-computing-is-coming-what-can-it-do
  5. “What Is the Future of Tech: 23 Technologies by 2022”, Sources: https://www.computer.org/publications/tech-news/trends/2022-report

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Top Technology Trends for 2022
Article Name
Top Technology Trends for 2022
Description
From network security services to artificial intelligence, 2022 will no doubt be tech-heavy. To know more about the top tech trends, read this blog.
Author
Publisher Name
Kaine Mathrick Tech
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Summary
Top Technology Trends for 2022
Article Name
Top Technology Trends for 2022
Description
From network security services to artificial intelligence, 2022 will no doubt be tech-heavy. To know more about the top tech trends, read this blog.
Author
Publisher Name
Kaine Mathrick Tech
Publisher Logo