Gartner: 12 Major Strategic Technology Trends for 2022 – Strategy – Cloud – Security


Cyber ​​security mesh, data fabric architecture, autonomous systems, generative AI and business intelligence are all strategic trends to watch that CEOs should watch in 2022, according to research firm Gartner.

“CEOs know they need to accelerate the adoption of digital commerce and are looking for more direct digital avenues to connect with their customers,” said David Groombridge, vice president analyst at Gartner, in a statement. “But with an eye on future economic risks, they also want to be efficient and protect margins and cash flow.”

Here are Gartner’s 12 top strategic technology trends for 2022.

Data Fabric

According to Gartner, Data Fabric is a design concept that acts as an integrated layer (fabric) of data and connection processes. It uses analytics on existing metadata assets to support the design, deployment, and use of integrated and reusable data across all environments.

It can reduce data management efforts by up to 70% by using analytics to learn and locate where data is being used and recommend how it should be changed.

According to Gartner, Data Fabric provides flexible and robust integration of data sources across multiple platforms for different users, making data available anywhere and anywhere, regardless of where it is stored.

Data management agility has become vital for organizations, Gartner said. Data and analytics experts need to move beyond traditional data management practices and move towards modern solutions such as AI-powered data integration to reduce human error and costs.

Cyber ​​security mesh

The cybersecurity mesh is a flexible and composable architectural landscape that integrates distributed and disparate security services into a large environment.

Gartner predicts that by 2024, organizations using a cybersecurity mesh architecture will reduce the costs associated with security incidents by approximately 90%.

The cybersecurity mesh allows modern stand-alone security solutions to work cohesively to improve overall security by moving checkpoints closer to the assets they protect. To better secure environments, the cybersecurity mesh can quickly verify identity, context, and policy compliance in cloud and non-cloud environments.

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Calculation improving privacy

According to Gartner, privacy-enhancing computational techniques enable secure processing, sharing, cross-border transfers, and analysis of data that protect data while it is in use.

It securely secures the processing of data in untrusted environments, which becomes increasingly critical as privacy and data protection laws continue to evolve. Using privacy-enhancing calculations, privacy protection techniques can extract value from data while meeting compliance requirements, according to Gartner.

This technology is increasingly moving from academic research to real-time projects that deliver real value and new forms of computation and reduce the risk of compromising data breaches.

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Cloud native platforms

Cloud-native platforms enable IT managers to build new, flexible and sustainable applications. Cloud adoption has been on the rise since the start of the pandemic, with Gartner predicting that cloud deployments will quickly overtake private data center workloads.

Cloud-native platforms enhance the traditional “lift-and-shift” approach to the cloud, Gartner said. The ever-increasing evolution to the cloud creates an even more urgent need to improve secure access to the web, cloud services, and other cloud native applications.

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Composable applications

Composable applications are built from modular components focused on the business environment. They simplify code usage and reuse, rapidly increasing the time it takes to bring new software solutions to market.

As business needs change rapidly, organizations must deliver innovations quickly and securely while simultaneously adapting their applications, according to Gartner. Capacities need to be reassessed from the inside out, understanding and implementing the “composable enterprise”.

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Decision intelligence

Decision intelligence is the most practical approach to improving organizational decision making, according to Gartner. Effective decision making in modern and challenging business environments is essential and requires a set of processes. Intelligence and analysis are used to inform, learn and refine decisions, generating new foundational skills.

According to Gartner, it can support and accelerate human decision-making and, potentially, automate it through the use of augmented analytics, simulations and artificial intelligence.

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Hyperautomation

Hyper-automation is a unique way to quickly identify, control and automate as many business and IT processes as possible. Using artificial intelligence, machine learning, robotic process automation (RPA), integration platform as a service, low-code / no-code tools and more, hyper-automation enables scalability and remote operations and corrects disruptions in the business model, according to Gartner.

As a business-driven approach, it can be orchestrated across multiple technologies and is a rapidly growing trend as businesses seek more efficient and agile ways to organize and manage operations.

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AI engineering

Artificial intelligence engineering automates updates to data, models and applications to streamline AI delivery, Gartner said. With strong AI governance, AI engineering can operationalize AI delivery to ensure valued and continuous business practices.

This constantly evolving discipline focuses on the development of tools, systems and processes that help humans achieve the results of their mission. With the increase in computing power and massive data sets, the creation of new AIs, models and algorithms encompasses thousands of variables and is able to make quick and impactful decisions.

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Distributed companies

Distributed businesses reflect a remote digital business model that improves employee experiences, digitizes consumer and partner touchpoints, and builds product experiences, Gartner said.

Distributed businesses, such as a hospital, bank, or retailer, better meet the needs of remote employees and customers who increasingly demand virtual services and hybrid workplaces. But with distributed businesses, security needs increase as a cybercriminal’s attack surface grows.

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A total experience

Total Experience is a strategic business approach that encompasses employee experience, customer experience, user experience, and multi-experience across a variety of touchpoints to enable growth within a business, according to Gartner.

The Total Experience can improve company, customer and employee satisfaction, loyalty and advocacy by intersecting multiple pathways to achieve transformational business outcome.

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Autonomous systems

Autonomous systems are self-managed physical or software systems that learn from their environment and dramatically change their own algorithms in real time, according to Gartner. This optimizes their behavior in complex environments.

They create a flexible set of technological capabilities that help support new requirements and situations, improve performance, and protect against cyber attacks without human intervention.

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Generative AI

Generative AI learns artifacts from data and generates new creations similar to the original, but doesn’t repeat it, Gartner said. While it advances machine learning, computer vision and the adoption of advanced artificial intelligence, it also improves existing processes and platforms and addresses organizational needs to streamline and accelerate operations.

Through efficient use of data, models and calculations, as well as responsible AI, generative AI has the potential to create new forms of innovative content and to accelerate research and development cycles and processes. in sectors ranging from medicine to product creation to engineering.

This article originally appeared on crn.com

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