Since the beginning of the pandemic and subsequent shift to offsite work, the demand for video conferencing software and tools is skyrocketing. As a result of this remote work taking center stage for more enterprises and government organizations, video conferencing has become the ideal solution to connect and collaborate with employees and customers. Witnessing exponential growth in the demand for these collaborative tools, Markets and Markets predict that the global market size for video conferencing components like hardware, software, and services will expand from USD 9.2 billion in 2021 to USD 22.5 billion by 2026.
Predictions such as these suggest a booming demand for AI-powered and video-enabled communication channels, given their demonstrated capabilities to improve collaboration and workflow, resulting in greater worker productivity. The sudden shift from traditional video conferencing to embracing the more sophisticated advanced technology-driven AI, big data analytics, computer vision, and NLP infused video conferencing creates efficiencies driven by the automation of traditional time-consuming tasks.
How AI can transform video conferencing
Many companies such as Cisco, GoToMeeting, Google, and Microsoft empower their video conferencing tools with AI capabilities that significantly improve meeting experiences and post-meeting workflows, thereby improving value from collaboration services. Real-time analytics enhances the potential for realized cost savings, improved productivity, and enhanced revenues, along with making meetings more intuitive and optimized.
Meeting room analytics
As the backbone of analytics and decision-making technology, AI helps track meeting durations and statistics as well as make predictions to suggest apps and documents that one might need during virtual meetings. AI also automates tasks such as rescheduling calls, books meeting rooms based on the conversations over emails, and enables screen sharing within and across the rooms. Analyzing the meeting room helps drive productivity with real-time insights for meeting flow, making it easy to focus on the actual meeting content.
Natural language processing (NLP)
NLP implementation in video conferencing facilitates automated transcription of meetings through machine learning and may even translate the conversations into different languages. By enabling NLP features, one can suppress echo, muffle background noises, and balance sound automatically. NLP may also allow chatbots to manage and take over a meeting using a voice command feature when integrated with video conferencing capabilities.
Computer vision
As NLP provides for better audio quality, computer vision enables quality video experiences, including active participant framing, virtual backgrounds, and upscaling resolution to improve picture quality. Computer vision, integrated with AI, can automatically support, amend, and fix color and light corrections by emphasizing faces even in low-lit rooms. Powered with facial recognition and computer vision technology, AI-based video conferencing solutions enable detecting, recognizing, and tagging the participants and help meeting organizers manage a large number of participants without losing relevance and personalization.
Automated API synching
Companies or professionals who use top-end video conferencing solutions find it difficult to sync and integrate with APIs. Machine learning empowers them with minimum or no code, easy API integrations and makes the job easy for video conference as a service (VCaaS) providers.
Augmented reality (AR)
Though the current application of AR in video conferencing is limited, when integrated with AI, AR technology can redefine and enhance communications. AR in video conferencing solutions enables the sharing and manipulation of 3D virtual holograms in real-time and allows others to interact with them, thus, creating a whole new experience of seeing and interacting with product replicas virtually.
The exponential growth in the demand to connect and collaborate with employees and customers remotely will continue to drive the adoption of advanced technology solutions driven by AI into the future, transforming essential communication tools such as video conferencing resulting in increasingly better user experiences. VCaaS providers are sure to play an ever-important role in empowering our daily lives with these state-of-the-art tools and technology that better facilitate the needs and demands of the digital age.
If you would like to learn more about implementing artificial intelligence and machine learning video conferencing solutions, send us your query to intellect2@intellect2.ai. Intellect Data, Inc. is a software solutions company incorporating data science and artificial intelligence into modern digital products with Intellect2TM. IntellectDataTM develops and implements software, software components, and software as a service (SaaS) for enterprise, desktop, web, mobile, cloud, IoT, wearables, and AR/VR environments. Locate us on the web at www.intellect2.ai.