A recent study reveals that there will be new technology trends that could spark attention in 2022. Sagara sums up the top 12 technology trends for you.
These trends will probably have a great impact on the business landscape in the future, especially for tech-based enterprises. In this article, we will explore more about these technology trends and find out why it matters.
12 Technology Trends In 2022:
Artificial intelligence opens up countless possibilities for us. From intelligent marketing to fraud prevention, AI has indeed transformed some aspects of our lives.
As of now, it even allows machines to use textual or visual data to generate new content namely Generative AI. This technology trend become quite a buzzword owing to new applications like DeepFake.
With Generative AI, computers can generate similar content by abstracting the underlying pattern related to the input which can be useful in areas like software code creation and healthcare development.
However, the development of this tech trend will pose certain challenges like data privacy or fraud-related crime.
Data fabric is an all-in-one data integration system that combines architecture, data management, and integration software, as well as shared data to help enterprises manage their data.
Ideally, a data fabric will provide a consistent user experience and real-time data access to data for any member of enterprises worldwide. But in order to maximize its benefit, organizations must first understand its data consumption patterns and regulatory compliance needs. Find out more about data fabric right here
Next is one of the technology trends that provides strategic solutions to tackle cybersecurity issues known as “Cybersecurity Mesh”. Using distributed architectures, enables scalable, flexible, and reliable cybersecurity control, particularly for identity and access management (IAM).
Cloud-Native Platforms (CNPs)
The cloud-native approach is a modern way to build and run software applications that takes advantage of the scalability, flexibility, and resilience of cloud computing.
This includes the various tools and techniques used by developers today to build applications for the cloud, as opposed to traditional architectures that are better suited to on-premises deployments.
With cloud-native platforms, systems such as microservices, cloud platforms, containers, Kubernetes, immutable infrastructure, declarative APIs, and continuous delivery are brought together with techniques such as DevOps and agile.
For enterprises that want to innovate and adapt applications rapidly and dynamically, they must try to implement composable applications.
Developed with business-centric modular components, this technology trend allows developers to reuse code more easily, cutting down on time-to-market for new software solutions and enabling new business opportunities.
Decision Intelligence (DI)
Decision intelligence (DI) is actually an old tech trend with some slight twists. Using DI, business decisions can be modeled in a simple and reusable way, making them more efficient and accelerating time to value.
This will be achieved through the use of automation that enhances human intelligence. According to predictions, one of the third large enterprises will use DI in the next two years for better and more structured decision-making.
Distributed enterprise uses digital-first as well as remote-first business models to improve employee experiences, creating digital touchpoints for consumers and building out product experiences.
By allowing employees to work remotely, this model opens up new opportunities for talent acquisition.
Total Experience (TX)
Another emerging tech trend to watch out for is Total Experience, which combines employee, user, and customer experience to transform business outcomes.
If enterprises are able to adopt the right TX strategy, they will achieve differentiation by leveraging new experiential disruptors.
Although autonomic systems applications are still in their early stages of development, they will gain more ground over the next half-decade.
Autonomous systems learn from their environments and dynamically modify their own algorithms in real-time to enhance their performance in complex ecosystems. It will help enterprises survive hostile environments, ensuring they are always ready for change.
It encompasses a range of technologies to create trusted environments for data sharing, decentralized analytics, and data encryption.
Hyper Automation will definitely receive the spotlight in the future as automation is a key component of digital transformation.
Combining machine learning (ML), software, and automation tools, Hyper Automation can help create a feasible business and IT process for enterprises.
As many companies indeed have different levels of staying power and long-term value from AI investments, company leaders need to create a sustained effort to gain more value from these investments. Applying AI engineering can provide the solutions.
AI engineering streamlines AI delivery by automating updates to data, models, and applications.
These technology trends may have impacts on each trend, however,
The strategic technology trends listed above will be able to speed up digital transformation as it addresses common challenges faced by enterprises particularly tech-based enterprises.
So, in order to determine which trends to prioritize requires an in-depth understanding of both long-term and short-term business objectives.