Video conferencing has accelerated adoption since the pandemic, particularly for businesses transitioning to hybrid working models.
As a result, we’re seeing more streamlined user experiences with easy-to-use and intuitive tools. These features will likely play a significant role in the growth of videoconferencing hardware in 2023.
The future of AI in video conferencing hardware will be used for a wide range of sophisticated tasks, including language translation, meeting follow-up (creating to-do lists and scheduling subsequent meetings), and even leading meetings. It could also help with the technical background of meetings, identifying areas where people’s internet connections might be struggling and adjusting accordingly to avoid call dropouts.
AI-enabled live transcription is another feature to look forward to. This helps cut through small talk and focus on the recorded pertinent points during a meeting.
AI-enabled live video conferencing can also filter out distractions like noisy backgrounds or keyboard typing. This is especially important for teams that have members who aren’t native speakers or have hearing issues. As such, many companies offer great opportunities, such as Neat, to help you experience the best videoconferencing at all times.
2. Machine Learning
Machine learning, which is an integral part of AI, has the potential to revolutionize video conferencing hardware. The technology can improve the user experience and drive efficiencies by helping automate time-consuming collaboration tasks.
It can also help improve meeting room management, allowing businesses to track data on how often people use their meeting rooms and what kinds of meetings they typically have. This data can predict when equipment might need maintenance, saving companies money and reducing downtime.
But there are some things business leaders should keep in mind about machine learning, which is a rapidly evolving field. While it can be an excellent tool for businesses, there might be better fits for some companies, said Aaron Shulman, Machine Learning in Business co-author.
There are several ways to get started with machine learning, including earning a bachelor’s degree in computer science, a master’s degree in a related field, or brushing up on your skills with a professional certificate. However, most employers prefer to hire those with a bachelor’s degree, as this is a very advanced field that requires a solid background in computer science and programming.
Interoperability is a vital feature for videoconferencing hardware. Without it, a business is limited to one platform and cannot connect with customers, employees, and colleagues on their preferred platforms.
This can be frustrating for a business, mainly if it must communicate with teams across continents. When this happens, it can lead to a slower pace of communication and less productivity.
Previously, videoconferencing hardware was tied to specific software from one vendor. Fortunately, more devices on the market can run multiple video services.
However, many of these devices aren’t fully interoperable. IT teams must research a service that connects to a device without complicated steps or extra user work.
4. Immersive Experiences
An immersive experience is a technology-enhanced environment that transports you into a new or altered reality. This can include an art exhibition, a video game, or a mobile app.
VR headsets and intelligent wearables are the most popular devices for creating an immersive experience, but many other technologies can help you achieve your vision. For example, haptic devices like gloves and controllers can add tactile feedback to your VR experience, increasing immersion.
Immersive experiences are a powerful way to connect with your audience and build brand loyalty. They can also be a great tool to enhance your company’s culture and make your products and services feel more realistic.