Gartner Announces Important Strategic Technology Trends for 2021
Gartner, the world’s leading information technology research and advisory firm, today released important strategic technology trends that enterprises need to dig into in 2021. Analysts presented their findings this week at the Gartner IT Symposium/Xpo Americas virtual session.
“The need for operational resilience across business functions has never been greater,” said Brian Burke, research vice president at Gartner. “CIOs are struggling to adapt to changing conditions and design the business of the future. This requires organizations to restructure continuously. Plasticity with change. Gartner Top Strategic Technology Trends for 2021 enable this plasticity.
“As organizations move from responding to COVID-19 to driving growth, they must focus on three main areas that have shaped this year’s dominant trends: people-centricity, location independence and resilient delivery. The combined impact of these trends is greater than their individual impact, And focus on meeting the needs of society and individuals around the world for optimal delivery.”
The key strategic technology trends for 2021 are as follows:
Internet of Behaviors
The Internet of Behavior (IoB) continues to emerge, with many technologies capturing and using the “digital dust” of people’s daily lives. The IoB brings together technologies such as facial recognition, location tracking, and big data that currently focus directly on individuals, and correlates the resulting data with behavioral events related to cash purchases or device usage.
Businesses use this data to influence human behavior. For example, to monitor compliance with health regulations during a pandemic, organizations can use IoB computer vision to see if employees are wearing masks or identify people with fever through thermal imaging.
Gartner predicts that by the end of 2025, more than half of the world’s population will participate in at least one commercial or government IoB initiative. While IoB is technically possible, there will be extensive ethical and sociological discussion of various methods of influencing behaviour across the community.
“Last year, Gartner defined multi-experience as an important strategic technology trend,” Burke said. “This year, the trend has evolved into Total Experience (TX), which connects multi-experience to customer, employee and user experiences. Gartner expects organizations that offer TX to outperform their competitors on key satisfaction metrics over the next three years.”
With the growing prevalence of mobile, virtual and distributed interactions due to the COVID-19 pandemic, organizations need to have a TX strategy. TX will improve every component of the experience, transforming business outcomes. These intertwined experiences are a key driver for businesses to differentiate and recover from the pandemic with innovative and revolutionary experiences.
As global data protection regulations mature, CIOs across regions face more privacy and breach risks than ever before. Unlike common data-at-rest security controls, privacy-enhancing computing protects data in use while ensuring confidentiality or privacy.
Gartner believes that by 2025, half of large enterprise organizations will use privacy-enhancing computing to process data in untrusted environments and multi-party data analytics use cases. Organizations should evaluate data processing activities that require personal data transfers, data monetization, fraud analysis, and other highly sensitive data use cases when beginning to identify privacy-enhancing computing candidates.
A distributed cloud distributes the public cloud to different physical locations, but the operation, governance, and development of services remain the responsibility of the public cloud provider. It provides a flexible environment for enterprise scenarios with low latency, reduced data cost needs and data residency requirements, while also enabling customers’ cloud computing resources to be closer to the physical location where data and business activities occur.
By 2025, most cloud service platforms will be able to provide at least some distributed cloud services that can be executed on demand. According to Mr. Burke: “The distributed cloud can replace the private cloud and enable edge cloud and other new use cases for cloud computing. It represents the future of cloud computing.”
Operating Anywhere is an IT operating model that supports customers around the world, empowers employees around the world, and manages the deployment of various distributed infrastructure business services. It covers more than just working from home or interacting with customers virtually, and offers unique value-added experiences in all five core areas: collaboration and productivity, secure remote access, cloud and edge infrastructure, digital experience quantification, and Remote operations automation support.
By the end of 2023, 40% of organizations will deliver an optimized and hybrid virtual/physical customer and employee experience by operating anywhere.
A cybersecurity mesh enables anyone to securely access any digital asset, no matter where the asset or person is located. It decouples policy enforcement from policy decisions through a cloud-delivered model and enables authentication to become the new security perimeter. By 2025, the cybersecurity grid will support more than half of digital access control requests.
Mr. Burke said: “The COVID-19 pandemic has accelerated the decades-long process of digital enterprise transformation. We have passed an inflection point where the cyber assets of most organizations now extend beyond traditional physical and logical security boundaries. With operating anywhere With the continued development of cybersecurity mesh networking, it will be the most practical way to securely access and use cloud-based applications and distributed data from uncontrolled devices.”
Intelligent Composable Business
Mr Burke said: “Static business processes built for efficiency are fragile and therefore fragmented by the impact of the pandemic. CIOs and IT leaders are trying to pick up the slack, and they are beginning to understand that business capabilities to adapt to the speed of business change have How important.”
Smart Composable Business revolutionizes decision making by capturing better information and responding more sensibly to it. The machines of the future will have more powerful decision-making capabilities, relying on rich data and insights. Smart portfolio businesses will pave the way for redesigning digital business moments, new business models, autonomous operations and new products, services and channels.
Gartner research shows that only 53% of projects make it from artificial intelligence (AI) prototypes to production. CIOs and IT leaders are finding it difficult to scale AI projects due to a lack of tools to create and manage production-grade AI pipelines. In order to turn AI into productivity, it is imperative to turn to AI engineering, a discipline that focuses on governance and lifecycle management of various AI operationalization and decision-making models (such as machine learning or knowledge graphs).
AI engineering is based on three core pillars: data operation and maintenance, model operation and maintenance, and development operation and maintenance. A robust AI engineering strategy will promote the performance, scalability, interpretability, and reliability of AI models, fully realizing the value of AI investments.
Business-driven hyperautomation is a rigorous approach that can be used to rapidly identify, review, and automate numerous approved business and IT processes. Hyperautomation has continued to evolve over the past few years. And because of the epidemic, everything is suddenly required to be digitalized first, which greatly increases the market demand. The backlog of demand from business stakeholders has prompted more than 70% of commercial organizations to implement dozens of hyperautomation initiatives.
Mr Burke said: “Hyperautomation is an inevitable and irreversible trend. Everything that can and should be automated will be automated.”