Whether employees work from home by choice or by force, the remote working model has its share of challenges. Not everyone is cut out for the isolation that comes with working from home. And, for many knowledge workers, the conditions at home are less than ideal compared to working in a quiet office in the office.
This is a major concern for organizations, and many take different approaches to keep homeworkers productive and engaged. The deployment of various forms of technology is one of them, and AI is emerging to help remote workers communicate effectively with clients and their office colleagues. To illustrate, consider the following use cases for AI and remote working.
1. Smart video
Video has become a key enabling technology for remote working during the COVID-19 pandemic, as it provides an immersive experience that makes communications more personal. AI is improving video with new forms of intelligence to make meetings more democratic and inclusive.
One example is changing the layout of the screens in real time to ensure that home participants are represented the same as those in the meeting room. Not only does this allow remote participants to communicate more effectively in the meeting, it also makes them feel more like a part of the team.
2. Meeting notes and summaries
Speech to text is one of the most powerful business AI use cases, as the accuracy is now high enough to be used in one-on-one conversations and group settings, like a meeting. Meetings can now be transcribed in real time, eliminating the need to take notes and participants can be more involved during the meeting. This is especially useful for home workers who can only follow virtually.
Another benefit of AI remote working is meeting summaries, where the employee uses search words or phrases to extract only the relevant parts of the meeting. This makes remote collaboration more efficient since employees will not need to be present at every meeting.
3. Work from home experience
AI offers many ways to minimize the inconvenience of working from the bedroom or the kitchen table. Most remote workers adapt on the fly to a home environment that is not optimized for full-time work. Common issues include using an old PC, not having a dedicated workspace, and being in crowded and often noisy neighborhoods. All of this can be a drag on productivity, and this is where AI can make a difference.
Most collaboration platforms now include AI-powered features to improve home UX, such as Noise suppression, blurry backgrounds, dynamically adjusted lighting and auto-framing, so the webcam stays focused on your face as you move around or stand up to stretch during meetings.