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5 technologies that will transform the digital future of enterprises: Gartner

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Gartner, Inc. highlighted five technologies that will transform the digital future of organizations. They include digital humans, satellite communications, tiny ambient IoT, secure computation and autonomic robots.

Nick Jones, Distinguished VP Analyst at Gartner said, “All five of these technologies are potentially transformational and should be investigated now due to their wide scope and ability to enable new business models or significant new capabilities (see figure 1).

“Everyone’s definition of disruptive is different, however, so evaluate them from your organization’s unique perspective and their potential impact. Then consider new business opportunities enabled by individual technologies, as well as combinations of them.”

Figure 1: Five Technologies That Will Transform Your Digital Future

Source: Gartner (September 2023)

  1. Satellite Communications

Increasing interest in low earth orbit (LEO) satellite communications is being driven by the democratization and commercialization of space. Low latency makes LEO an important technology for enterprises to revolutionize communications to people and things.

According to Gartner, LEO will deliver broadband with global coverage and low enough latency for a wide range of tasks; direct satellite connection for small IoT devices to provide affordable global coverage without involving SIMs, telco providers and roaming complications; and voice and data services from a satellite to an unmodified 4G smartphone to extend coverage to remote locations.

“The industry remains nascent, with a lot of evolution expected, so take a cautious approach to adopting LEO early as this is an emergent technology in a complex market,” said Jones.

  1. Tiny ambient IoT

Tiny ambient IoT enables tagging, tracking and sensing of anything without the complexity or cost of battery-powered devices. The result is the ability to unobtrusively sense more information, about more things, in more ways, at a lower cost than in the past.

This will enable new ecosystems; new business models based on knowing the location or behavior of objects; smarter products with new behaviors; and a much lower cost of tracking and monitoring. Tiny ambient IoT will expand opportunities for a wide range of businesses, but Gartner recommends assessing potential social and regulatory issues before adoption.

  1. Secure Computation

Secure computation is becoming vitally important as things become increasingly connected and as ecosystems access more personal information. It enables data to be exploited without compromising privacy.

While many of the principles of secure computation are already established, implementation is challenging for reasons of cost, skills, performance and availability. To help overcome these, Gartner suggests emerging technologies such as optical accelerators will be important to enable deployment.

  1. Digital Humans

Digital humans are interactive, AI-driven representations that imitate some characteristics, personality, knowledge and mindset of a human. They range from physical (e.g. humanoid robots) to virtual (e.g. virtual pop stars); or human-driven (e.g. mimicking aspects of a human) to AI driven where they do not need to be human-like in all aspects (e.g. a digital twin or chatbot).

Despite their potential, digital humans pose many challenges, including unethical applications; inappropriate behavior; creation of bias and stereotypes; lack of regulation; risk of social backlash; varying cultural attitudes; and more. Gartner recommends assessing potential social and regulatory issues before adoption.

  1. Adaptive Autonomic Drones and Robots

Autonomic systems are self-managing physical or software systems, performing tasks that exhibit autonomy, learning and agency (sense of own personal purpose). Systems that learn and adapt autonomously will be essential if technologies like robots are scaled to achieve their full potential.

However, a multitude of challenges exist as it may not be obvious what a robot or AI system has learned or what it can (or cannot) do. Gartner recommends piloting them in complex and rapidly changing environments, where early adoption will deliver agility and performance benefits. Manage risk by analyzing the business, legal and ethical consequences.

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