How can companies use technological trends to outpace their competitors?

In 2022, leaders have three main goals: growth, digitalization, and efficiency. Over the past 18 months, the demand for digital technologies has increased, and organizations need to adapt faster to constantly changing conditions.

Research firm Gartner announced the key strategic technology trends for 2022 at the Gartner IT Symposium / Xpo Americas event, which organizations need to study and implement to enhance their competitive advantage.

The list of 12 technology trends for 2022 is as follows:

1. Data Fabric

Data Fabric represents a flexible and resilient integration of data between platforms and business users. Its true value lies in its ability to dynamically improve data usage through built-in analytics, reducing data management efforts by up to 70% and accelerating time to value.

2. Cybersecurity Mesh

Cybersecurity Mesh is defined as an architecture that unifies widely distributed and siloed security services. This will enable secure access to digital assets, as well as fast and reliable verification of identity, context, and policy compliance in cloud and non-cloud environments.

3. Privacy-Enhancing Computation

Privacy-enhancing computations enable the processing of personal data in untrusted environments. Gartner expects that by 2025, 60% of large organizations will use one or more methods of computation that enhance privacy.

4. Cloud-Native Platforms

Cloud-native platforms are technologies that enable the creation of new fault-tolerant and elastic application architectures, allowing for responsiveness to rapid digital changes. For this reason, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025, compared to less than 40% in 2021.

5. Composable Applications

Composable applications are built from business-oriented modular components, simplifying code usage and reuse, accelerating the time-to-market for new software solutions, and increasing value for the enterprise. The architecture of these applications ensures adaptability, and companies that have adopted a composable approach will outperform competitors by 80% in the speed of implementing new features.

6. Decision Intelligence

This discipline aims to improve the decision-making process within an organization. The approach models each decision as a set of processes, using intelligence and analytics to inform, learn from, and refine decisions. Gartner predicts that in the next two years, one-third of large organizations will use decision analytics for structured decision-making to enhance competitive advantage.

7. Hyperautomation

Hyperautomation ensures business resilience by rapidly identifying, validating, and automating a greater number of processes. A disciplined, business-oriented approach allows for the automation of as many business and IT processes as possible, ensuring scalability and remote work capabilities.

8. AI Engineering

IT leaders are attempting to integrate AI into applications, often spending time and money on projects that never launch or struggle to maintain value after release. AI Engineering is a comprehensive approach aimed at optimizing the cost of production AI solutions by automating updates to data, models, and applications to optimize AI delivery.

9. Distributed Enterprise

With the spread of remote and hybrid work models, traditional office-centric organizations are transforming into distributed enterprises consisting of geographically dispersed employees. Gartner expects that by 2023, 75% of organizations leveraging the distributed enterprise model will achieve revenue growth 25% faster than their competitors.

10. Total Experience

The Total Experience business strategy integrates employee, customer, user, and multi-experience perspectives with the goal of enhancing trust, loyalty, and support through holistic management of stakeholder experiences. Organizations will increase revenue and profit by achieving adaptive and resilient business outcomes.

11. Autonomic Systems

Autonomic systems are self-managing systems that learn and dynamically adjust their own algorithms in real-time to optimize their behavior in complex ecosystems. This creates a flexible set of technological capabilities capable of supporting new requirements and situations, optimizing performance, and defending against attacks without human intervention.

12. Generative Artificial Intelligence

Generative AI based on data studies and creates innovative artifacts that resemble the original but do not simply replicate it. This technology has the potential to create new forms of creative content, such as video, and accelerate R&D cycles in various fields, from medicine to product development.

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