Contributor: Meghan Rimol
The need to improve the digital resiliency of the workforce during and after the COVID-19 pandemic has drastically accelerated trends in digital workplace technology.
When employees were sent home from their offices en masse amid the global onset of COVID-19, many businesses scrambled to adopt technology solutions to enable their teams to work remotely. IT leaders have now realized the urgency to scale up their digital workplace technology stacks to ensure the long-term resiliency of their business.
The pandemic rapidly elevated many digital workplace technologies from nice-to-have to must-have status
“According to the Gartner 2020 Digital Workplace Survey, 68% of respondents agreed that more C-level execs have expressed involvement in the digital workplace since COVID-19,” says Matt Cain, Distinguished VP Analyst, Gartner. “From meeting solution software, to enterprise chat platforms, to desktop-as-a-service, the pandemic rapidly elevated many digital workplace technologies from nice-to-have to must-have status.”
The need for replacements for in-person activities is leading to heightened interest in the emerging technologies included in the Gartner Hype Cycle for the Digital Workplace, 2020. Here are the top digital workplace trends on the Hype Cycle that CIOs will be paying attention to in the years to come.
Learn more: About the Gartner Hype Cycle MethodologyTrends
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Trend 1: The new work nucleus
The “new work nucleus” refers to a collection of SaaS-based personal productivity, collaboration and communication tools, combined into one cloud office product. It generally includes email, instant messaging, file sharing, conferencing, document management and editing, search and discovery, and collaboration.
The new work nucleus has become a cornerstone of most organizations’ digital workplace infrastructures, particularly in today’s remote work environment. Reliance on cloud office technologies has increased due to a general preference for cloud, as well as the desire to reduce costs, drive simplicity and continuously provide more functionality to employees. Vendors are upgrading cloud services with new mobility, content discovery and artificial intelligence (AI) features.
Trend 2: Bring your own thing to the digital workplace
Individuals are beginning to use more personal Internet of Things (IoT) devices or wearables at work, in a trend known as bring your own thing (BYOT). BYOT involves a wide range of objects, such as fitness bands, smart lights, air filters, voice assistants, smart earbuds and consumer virtual reality (VR) headsets. In the future it will include highly sophisticated devices such as robots and drones.
“As homes and domestic technology become smarter and consumers acquire more IoT technology, a growing range of personal things will be brought into offices or used to support remote working,” says Cain.
Explore now: 5 Trends Drive the Gartner Hype Cycle for Emerging Technologies, 2020
Trend 3: The distance economy
In-person events and meetings were once the norm and virtual meetings the exception, but COVID-19 has flipped those scenarios. The pandemic influenced the emergence of the distance economy, or business activities that don’t rely on face-to-face activity. Organizations with operating models that depend on first-party or hosted events have switched quickly to virtual alternatives.
Simultaneously, as internal meetings, client interactions, new hire interviews and a variety of other business activities have gone virtual, the distance economy has given rise to a new generation of meeting solutions that attempt to more closely mimic an in-person meeting.
Read more: 3 Keys to Leading Large-Scale Virtual Meetings
Trend 4: Smart workspaces
A smart workspace leverages the growing digitalization of physical objects to deliver new ways of working and improve workforce efficiency. Examples of smart workspace technologies include IoT, digital signage, integrated workplace management systems, virtual workspaces, motion sensors and facial recognition. Any location where people work can be a smart workspace, such as office buildings, desk spaces, conference rooms and even home spaces.
As employees return to work post-COVID-19, organizations will take full advantage of smart workspaces as they revisit design strategies to better understand how people participate in physical spaces or adhere to social distancing. Such insight can create new capabilities related to seating and room allocation, access management and wayfaring.
Trend 5: Desktop-as-a-service
Desktop as a service (DaaS) provides users with an on-demand, virtualized desktop experience delivered from a remotely hosted location. It includes provisioning, patching and maintenance of the management plane and resources to host workloads.
COVID-19 highlighted the value and business continuity strength of DaaS
Organizations have long been interested in adopting virtual desktop infrastructure, but complexity and capital investment have made implementations difficult. COVID-19 highlighted the value and business continuity strength of DaaS in its ability to rapidly enable remote work where on-premises options have stalled. The pandemic is likely to accelerate adoption of DaaS, and it may even perpetuate as a delivery architecture when employees return to the office.
Trend 6: Democratized technology services
Technology services of the future will be assembled and composed by the people that actually use them. A few examples of democratized technology services include:
- Citizen developers, or employees who create new business applications using development tools and runtime environments sanctioned by corporate IT. Citizen developers are empowered by the availability and power of low-code and “no code” development tools.
- Citizen integrator tools, which enable expert business users with minimal IT skills to handle relatively simple application, data and process integration tasks by themselves through very intuitive, no-code development environments.
- Citizen data science, an emerging set of capabilities that enable users to extract advanced analytic insights from data without the need for extensive data science expertise.
