What are the 12 top strategic technology trends, 2022?
Every year, Gartner identifies technology trends that are critical to business. This year, the list comprises 12 strategic trends that will enable CEOs to deliver growth, digitalization and efficiency — and position CIOs and IT executives as strategic partners in the organization.
“CEOs know they must accelerate the adoption of digital business and are seeking more direct digital routes to connect with their customers,” says David Groombridge, VP Analyst, Gartner. “But with an eye on future economic risks, they also want to be efficient and protect margins and cash flow.”
#Data_Fabric
Data fabric provides a flexible, resilient integration of data sources across platforms and business users, making data available everywhere it’s needed regardless where the data lives.
#Cybersecurity_Mesh
Cybersecurity mesh 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.
#Privacy_Enhancing_Computation
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.
#Cloud_Native_Platforms
Cloud-native platforms are technologies that allow you to build new application architectures that are resilient, elastic and agile — enabling you to respond to rapid digital change.
#Composable_Applications
Composable applications make it easier to use and reuse code, accelerating the time to market for new software solutions and releasing enterprise value.
#Decision_Intelligence
Decision intelligence can support and enhance human decision making and, potentially, automate it through the use of augmented analytics, simulations and AI.
#Hyperautomation
Hyperautomation is a disciplined, business-driven approach to rapidly identify, vet and automate as many business and IT processes as possible.
#AI_Engineering
AI engineering automates updates to data, models and applications to streamline AI delivery. Combined with strong AI governance, AI engineering will operationalize the delivery of AI to ensure its ongoing business value.
#Distributed_Enterprises
Distributed enterprises reflect a digital-first, remote-first business model to improve employee experiences, digitalize consumer and partner touchpoints, and build out product experiences.
#Total_Experience
Total experience is a business strategy that integrates employee experience, customer experience, user experience and multiexperience across multiple touchpoints to accelerate growth.
#Autonomic_Systems
Autonomic systems are self-managed physical or software systems that learn from their environments and dynamically modify their own algorithms in real time to optimize their behavior in complex ecosystems.
#Generative_AI
Generative AI learns about artifacts from data, and generates innovative new creations that are similar to the original but doesn’t repeat it.
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