AI is improving remote work by offering collaboration technology through which the companies can operate from anywhere.
FREMONT, CA: Many companies have benefited from the business continuity response to COVID-19 and are looking towards the future. COVID-19 has transformed how consumers work profoundly, with several organizations recognizing that most work can be completed anywhere. Collaboration technologies need to develop to provide features for new remote workflows to support remote work better.
Even though the sharp increase in remote work was motivated by a health crisis, it was fueled by workers' willingness to work on their terms. Organizations, when hiring personnel, no longer have to be restricted to geographic position.
Platforms evolve for remote workflows
Demand for remote work was growing even before the pandemic, with the increased use of cloud platforms to support dispersed teams. But the pandemic significantly speeded up demand. The technical, physical workspace and interpersonal obstacles to remote work have been resolved even by organizations that felt remote work was not feasible. Now, the obstacle for employers and workers is to find out how to embrace remote work.
Particular functionality may have been familiar for people who are used to remote work, such as click-to-join meetings features. But for people who had never worked remotely before, including contact centre employees, these workflows were not as simple. There was also a shortage of collaboration platform capabilities for some sectors and workflows, such as government and education.
AI drives the future of collaboration technology
AI may bring more development for unified communications (UC) and collaboration platforms to enable remote work.
Meeting transcriptions was one development that benefited cooperation. More AI innovation might take transcripts to the next stage by identifying what parts of a meeting are most relevant to a particular employee and submitting meeting minutes based on that data.
The companies are beginning to use AI capabilities, such as data mining of collaboration tools, to understand better how workers network with each other and how such employee networks can support T-Mobile operate its company more efficiently.
T-Mobile, for example, may use data to analyze connectivity patterns that reflect the difficulties and advantages in supporting its products, better support product design, and interact with its customers more efficiently.