Technology Trends That Will Mark 2022 | 12 Innovations That You Should Know About
We are leaving behind a year full of technological advances that have transformed companies towards a more automated and efficient model. The latest developments in technology are giving way to more connected businesses.
However, this has only just begun. The technology trends of 2022 are loaded with “old acquaintances” that are evolving and the latest advances that will further transform our daily lives and how we interact and work.
Despite the wide variety of technological advances for 2022, they all have the same common denominator: tools and advances focused on driving digitalization and increasing efficiency and growth for all types of companies. The adoption of digital environments has become key to productivity and customer loyalty.
Below, we take a look at the technology trends that will mark 2022 and that you should keep an eye on.
- 1 Automation and Hyper-Automation
- 2 Metaverse
- 3 New Convolutional Neural Network Architectures: ConvNext
- 4 Predictive Analytics
- 5 Edge Computing and Native Clouds
- 6 Distributed Companies
- 7 Low-Code Services
- 8 Decision Intelligence
- 9 Total Experience (TX)
- 10 Computer Vision and Pattern Recognition
- 11 Data Fabric
- 12 Sustainable Technology Trends
- 13 NFT (Non-Fungible Tokens) with AI
Automation and Hyper-Automation
Automation allows us to speed up the time spent performing all kinds of tasks and increase the accuracy with which we perform them. 2022 is a year in which we will continue to deploy tools and developments designed to speed up the process of countless tasks. Also, we will improve our effectiveness in performing them and continue to free ourselves from performing those tasks that can be fully automated so that we can dedicate ourselves only to those in which we can provide a differential value. And hyper-automation will help to improve decision-making without losing quality, exponentially increasing speed and reducing operating costs by up to 30%.
According to Gartner, the global market for software that handles automation will reach $600 billion by 2022.
We could not fail to mention it in this compilation of trends, since it has been positioned as the megatrend that will define a new era and that will be able to achieve the same impact as the Internet.
This digital universe in which physical and virtual reality are mixed in a shared online space is going to completely change the way we work, shop, communicate and have fun. The metaverse is going to provide great opportunities for companies, ranging from increasing their social presence to office work, payments, healthcare, buying and selling products, etc.
Multinational giants such as Facebook (which has already changed its name to Meta), Zara, Epic Games, or Microsoft are just some of the examples of companies that have joined this trend and will be the big drivers of this new universe. There is still work to be done to see 100% of what will be achieved, but we must not lose sight of it.
New Convolutional Neural Network Architectures: ConvNext
The irruption of Transformers in the field of computer vision has improved the ability of neural networks to extract features from images, as well as the possibility of modeling long-range dependencies. This has led to increased hit rates in classification, object detection, and image segmentation tasks.
Thanks to the techniques learned in the development of hybrid architectures using “Vision Transformers” many research groups have presented new topologies that change the traditional way in which we used convolutional neural networks. This is the case of the new network presented by Facebook research: A ConvNet for the 2020s called ConvNext, which has outperformed (ImageNet Benchmark) the “Vision Transformers” architectures using only convolutional neural networks.
It is not a novelty in the trend lists, but it deserves to appear again in the 2022 list because predictive analytics tools will continue to change the game’s rules in all industries.
Predictive Analytics plays a crucial role in data analysis and data lake consolidation if we talk about efficiency. It will undoubtedly be at the top of new projects, especially in the IT ecosystem. In addition, it will be crucial to driving IoT technology and cybersecurity.
Edge Computing and Native Clouds
We are at a time when sovereignty and edge computing needs have accelerated cloud adoption in organizations worldwide. Cloud-native platforms are set to play a critical role over the next year, accounting for 95% of new digital initiatives within three years.
Companies that have already embraced this cloud model have seen how it has completely transformed their business and operational and governance models. Edge computing is designed to counteract the centralization of the cloud and bring capabilities and resources closer to users in real-time.
Many companies are still in a time of transition or adaptation to hybrid work models. The pandemic has forced many of them to take them on, but the decision to maintain them over time is a move that is being made thoughtfully and firmly. The rise of remote or blended models has meant that this evolution to distributed work has gained momentum globally.
The benefits of these distributed business models are already being seen and expected to deliver revenue growth 25% faster than competitors in traditional models.
We are moving towards the democratization of data and technology, so it was to be expected that one of the significant-tech trends of 2022 will be low-code services. Over the last few years, we have seen how a growing number of society’s skills and tools have been made available to benefit innovation.
Lack of experience or expertise has been the trigger for popularizing self-service and “low-code” solutions that, coupled with AI and IoT infrastructures, are becoming more common among companies that do not have a single server or cognitive code of their own. As a result, these no-code interfaces will gain ground, leaving behind barriers to accessing these services.
So-called “decision intelligence” takes a practical approach to decision-making to improve decisions. Its function is to model each decision as a set of processes, supported by intelligence and analytics to learn, inform and refine these decisions.
It is the perfect complement to support human decisions and then automates it through the use of augmented analytics, simulations, and Artificial Intelligence.
Total Experience (TX)
Total Experience is a business strategy that integrates employee experience, customer experience, user experience, and, as a novelty, multi-experience across many touchpoints.
The key feature of the total experience is that it drives more outstanding customer and employee trust, satisfaction, loyalty, and advocacy by providing total experience management. This combination of all the “Xs” will mark the potential to improve business results, accelerating growth.
Computer Vision and Pattern Recognition
Computer Vision continues to advance and present significant breakthroughs. We are finding more and more use cases in which this technology is helping to improve the service of many businesses.
This unlocking of information from the translation of images and videos significantly impacts consumers, but it has only just begun. In telemedicine or security, it has countless applications, such as the detection of medical conditions.
Data Fabric, also known as a data structure, provides flexible and robust integration of data sources across platforms and users in an enterprise. It allows data to be available anywhere, adapting to where needed.
Another feature is using analytics to autonomously learn and recommend where it should be used or modified. This is a significant breakthrough, as it can reduce data management efforts by 70%.
Sustainable Technology Trends
We have left it for last, but not because it is the least important, on the contrary. It could be classified as a trend in itself that encompasses many others, and in recent months we have seen how there has been a significant shift in business models.
Many companies have opted to make small and big changes in their companies, paying particular attention to reducing CO2 emissions (with Blockchain, for example), migrating to the cloud, clean process and product technologies, process and consumption optimization, recycling, the importance of metrics, etc.
NFT (Non-Fungible Tokens) with AI
NFTs are digital assets that are transforming the online market, making it possible to revalue products or goods that, until now, had circulated on the network for free.
The Internet has made content easier to consume, but at the same time, more difficult to protect. Thanks to NFTs, blockchain-based registries that show digital ownership of different items such as art, collectibles, or music, they allow creators to access new technologically sophisticated revenue streams and interact with users and fans in innovative ways.
In addition, one of the big trends this year will be the use of Artificial Intelligence for the creation of NFTs. Models such as GAN’s (Generative Adversarial Networks) are capable of generating new content once they have been trained with the right dataset. These networks can generate unique and exclusive works of art, which makes them very attractive within the field of NFT’s.
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