When employees at an industrial site returned to the workplace during the COVID-19 pandemic, they noticed a few differences. Sensors or RFID tags were used to determine whether employees were washing their hands regularly. In addition to this, this behavioral data was collected and analyzed by the organizations to influence how people behaved at work. The collection and use of such data to drive behaviors are called the Internet of Behavior (IoB). The IoB will continue to affect how organizations interact with people, as they combine data from different sources and use that data.
The IoB is one of the tech trends for 2021, according to Gartner. The research company published top strategic technology trends for 2021. For the next year, Gartner published nine top tech trends under three themes as people centricity, location independence and resilient delivery. It is important to note that these nine strategic technology trends do not operate independently of each other, but rather build on and reinforce each other. Let’s have a look at all the top tech trends for 2021.
Internet of Behaviors
IoB does have ethical and societal implications depending on the goals and outcomes of individual uses. The IoB can gather, combine and process data from many sources including commercial customer data; citizen data processed by public-sector and government agencies; social media; public domain deployments of facial recognition; and location tracking. This trend has a tendency to grow, as the increasing sophistication of the technology that processes this data.
Total-experience combines multi-experience, customer experience, employee experience and user experience in order to transform the business outcome. This trend enables organizations to capitalize on COVID-19 disruptors. For example, one telecommunications company can transform its entire customer experience in an effort to improve safety and satisfaction with the deployment of an appointment system via an existing app.
Protecting data while it’s being used is getting more important day by day. To provide this, privacy-enhancing computation features three technologies. The first provides a trusted environment in which sensitive data can be processed or analyzed. The second performs processing and analytics in a decentralized manner. The third encrypts data and algorithms before processing or analytics.
Distributed cloud is defined as the future of the cloud. Distributed cloud is where cloud services are distributed to different physical locations, but the operation, governance and evolution are under the responsibility of the public cloud provider. It is an all-new approach that will enable organizations to manage all disparate components, edge apps, and the infrastructure that supports them all, as one logical cloud.
This growing trend “anywhere operations” model will be vital for businesses to emerge successfully from COVID-19. While customers, employers and business partners operate in physically remote environments, this operating model allows for the business to be accessed, delivered, and enabled anywhere.
Cybersecurity mesh, a distributed architectural approach, aims to provide scalable, flexible and reliable cybersecurity control. This trend essentially allows for the security perimeter to be defined around the identity of a person or thing. It enables a more modular, responsive security approach by centralizing policy orchestration and distributing policy enforcement.
Intelligent composable business
An intelligent composable business can adapt and fundamentally rearrange itself based on a current situation. Companies can drive faster digital transformation, by accelerating digital business strategy. Also, they need to be agile and make quick business decisions informed by currently available data.
The companies need a robust AI engineering strategy to facilitate the performance, scalability, interpretability and reliability of AI models. AI engineering offers a pathway, making AI a part of the mainstream DevOps process rather than a set of specialized and isolated projects.
Hyperautomation is defined as the idea that anything that can be automated in an organization should be automated. Hyperautomation is driven by organizations having legacy business processes that are not streamlined, creating immensely expensive and extensive issues for organizations.
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