Every year, analyst firm Gartner identifies technology trends that it expects to become important during the coming 12 months. For 2022, it has named 12 strategic trends that it believes will help organisations grow, digitalize and drive efficiency over the next three to five years.
Below, we list this year’s trends and why Gartner believes they are important
Data Fabric – for flexible, resilient integration of data sources across platforms and business users, making data available everywhere it’s needed, regardless of where the data lives. Data fabric can use analytics to learn and actively recommend where data should be used and changed. This can reduce data management efforts by up to 70%.
Cybersecurity mesh – a flexible, composable architecture that integrates widely distributed and disparate security services and enables best-of-breed, stand-alone security solutions to work together to improve overall security while moving control points closer to the assets they’re designed to protect. It can quickly and reliably verify identity, context and policy adherence across cloud and non-cloud environments.
Privacy-enhancing computation – secures the processing of personal data in untrusted environments, which is increasingly critical due to evolving privacy and data protection laws as well as growing consumer concerns. This approach uses a variety of privacy-protection techniques to allow value to be extracted from data while still meeting compliance requirements.
Cloud-native platforms – technologies that allow you to build new application architectures that are resilient, elastic, and agile and enable you to respond to rapid digital change. Cloud-native platforms improve on the traditional lift-and-shift approach to cloud, which fails to take advantage of the benefits of cloud and adds complexity to maintenance.
Composable applications – built from business-centric modular components, these apps make it easier to use and reuse code, accelerating the time to market for new software solutions and releasing enterprise value.
Decision intelligence – a practical approach to improve organisational decision-making. It models each decision as a set of processes, using intelligence and analytics to inform, learn from and refine decisions. It can potentially, automate decision-making through the use of augmented analytics, simulations, and AI.
Hyperautomation – a disciplined, business-driven approach to rapidly identify, vet and automate as many business and IT processes as possible. Enables scalability, remote operation and business model disruption.
AI engineering – automates updates to data, models, and applications to streamline AI delivery. Combined with strong AI governance, AI engineering will operationalise the delivery of AI to ensure its ongoing business value.
Distributed enterprises – adoption of a digital-first, remote-first business model to improve employee experiences, digitalise consumer and partner touchpoints, and build out product experiences. In this way, enterprises can better serve the needs of remote employees and consumers as they fuel demand for virtual services and hybrid workplaces.
Total experience – a business strategy that integrates employee experience, customer experience, user experience and multi-experience across multiple touchpoints to accelerate growth. It can drive greater customer and employee confidence, satisfaction, loyalty and advocacy through holistic management of stakeholder experiences.
Autonomic systems – self-managed physical or software systems that learn from their environments and dynamically modify their own algorithms in real time to optimise their behaviour in complex ecosystems. They create an agile set of technology capabilities that can support new requirements and situations, optimise performance, and defend against attacks without human intervention.
Generative AI – learns about artifacts from data and generates innovative new creations that are similar to the original but does not repeat it. Generative AI has the potential to create new forms of creative content, such as video, and accelerate R&D cycles in fields ranging from medicine to product creation.
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