Companies need to focus on architecting resilience and accept that disruptive change is the norm, says research firm Gartner, which unveiled its annual look at the top strategic technology trends that organizations need to prepare for in the coming year.
Gartner unveiled this year’s list at its flagship IT Symposium/Xpo Americas conference, which is being held virtually this year.
At the outset of the symposium, it’s clear Gartner is expecting human and technology interactions will continue to challenge IT executives as companies weather the COVID-19 upheaval and current economic challenges.
“The need for operational resiliency across enterprise functions has never been greater,” said Brian Burke, research vice president at Gartner.
“As organizations journey from responding to the COVID-19 crisis to driving growth, they must focus on the three main areas that form the themes of this year’s trends: people centricity, location independence and resilient delivery,” Burke said.
With those concepts as a backdrop, Burke identified Gartner’s top strategic technology trends for 2021:
Internet of behaviors (IoB)
Technologies that use facial recognition, location tracking and big data, and connect the resulting data to associated behavioral events, such as cash purchases or device usage, are growing, Burke said. Organizations use this data to influence human behavior — a trend Gartner calls the Internet of behaviors (IoB). For example, to monitor compliance with health protocols during the ongoing pandemic, organizations might leverage the IoB via computer vision to see whether employees are wearing masks, or via thermal imaging to identify those with a fever.
Gartner predicts that by year-end 2025, over half of the world’s population will be subject to at least one IoB program, whether it be private, commercial or governmental. “While the IoB is technically possible, there will be extensive ethical and societal debates about the different approaches employed to affect behavior,” Burke said.
By 2025, 50% of large organizations will adopt privacy-enhancing computation, which protects data in use while maintaining secrecy or privacy, for processing data in untrusted environments and multiparty data analytics use cases, Burke said. Organizations should start identifying candidates for privacy-enhancing computation by assessing data processing activities that require transfers of personal data, data monetization, fraud analytics and other use cases for highly sensitive data, the Gartner analyst said.
The idea here is that anyone can access any digital asset securely, no matter where the asset or person is located, Burke said. It decouples policy enforcement from policy decision making via a cloud delivery model and allows identity to become the security perimeter. By 2025, the cybersecurity mesh will support over half of digital access control requests, Burke said.
“The COVID-19 pandemic has accelerated the multidecade process of turning the digital enterprise inside out,” Burke said. “We’ve passed a tipping point — most organizational cyberassets are now outside the traditional physical and logical security perimeters. As anywhere operations continues to evolve, the cybersecurity mesh will become the most practical approach to ensure secure access to, and use of, cloud-located applications and distributed data from uncontrolled devices.”
The impact of distributed cloud services has been on Gartner’s list for a few years now. Gartner says distributed cloud is the delivery of public cloud services to different physical locations, while the operation, governance and evolution of the services remain the responsibility of the public cloud provider. It provides a nimble environment for organizational scenarios with low-latency, data cost-reduction needs and data residency requirements. It also addresses the need for customers to have cloud computing resources closer to the physical location where data and business activities happen. By 2025, most cloud service platforms will provide at least some distributed cloud services that execute at the point of need. “Distributed cloud can replace private cloud and provides edge cloud and other new use cases for cloud computing. It represents the future of cloud computing,” Burke said.
The concept of hyperautomation, which Gartner says involves the combination of multiple machine-learning (ML), packaged-software and automation tools to deliver work, was also in last year’s top strategies list, and it continues to gain strength. Although hyperautomation has been trending at an unrelenting pace for the past few years, the pandemic has heightened demand with the sudden requirement for everything to be “digital first.” The backlog of requests from business stakeholders has prompted more than 70% of commercial organizations to undertake dozens of hyperautomation initiatives as a result, Burke said. “Hyperautomation is now inevitable and irreversible,” Burke said. “Everything that can and should be automated will be automated.”
Burke said that anywhere operations refers to an IT operating model designed to support customers, enable employees and manage the deployment of business services everywhere across distributed infrastructures. By the end of 2023, 40% of organizations will have applied anywhere operations to deliver optimized and blended virtual and physical customer and employee experiences.
In last year’s trend report, Gartner stated that through 2028, “the user experience will undergo a significant shift in how users perceive the digital world and how they interact with it, or a ‘multiexperience.'” Conversational platforms with improved voice-driven and dialogue-management capabilities will change the way that people interact with the digital world. Burke said Gartner is taking that notion one step further this year with total experience (TX), a strategy that connects multiexperience “with customer, employee and user experience disciplines,” Burke said. COVID-19 has transformed the digital experience with technology like touchless interfaces, and organizations need a TX strategy as interactions become more mobile, virtual and distributed.
Intelligent composable business
An intelligent composable business radically reengineers decision-making by accessing better information and responding more nimbly to it. For example, machines will enhance decision making in the future, enabled by a rich fabric of data and insights. Intelligent composable business will pave the way for redesigned digital business moments, new business models, autonomous operations and new products, services and channels. “Static business processes that were built for efficiency were so brittle that they shattered under the shock of the pandemic,” Burke said. “As CIOs and IT leaders struggle to pick up the pieces, they’re beginning to understand the importance of business capabilities that adapt to the pace of business change.”
Artificial intelligence will mature across multiple disciplines as the need for more automation grows, Burke said. But Gartner said research shows only 53% of projects make it from AI prototypes to production. The road to AI production means turning to AI engineering, a discipline focused on the governance and lifecycle management of a wide range of operationalized AI and decision models, such as machine learning or knowledge graphs.
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