How AI and ML helps shaping the Future of Video Conferencing

The demand for video
conferencing is booming with each passing day. With all businesses around the
world shutting doors due to the global medical emergency, since the rise 0f
Covid-19, many governments and businesses, including the common public, have
been relying on video conference tools.

In order to communicate with clients, employees and marketers, many businesses are extensively using video conferencing. Due to the increasing use of video conferencing, meetings and presentations through video calls have become commonplace for collaborations and remote work promotion.

However, video conferencing
with Artificial
(AI) has become a key innovation in the communication sector. The video-enabled
communication channels have become a key component and integral part of
businesses to maximize their productivity.

of AI and ML in transforming video conferencing Industry

These days organizations are increasingly leveraging AI-powered tools to optimize their operations and to stay ahead of others in this stiff competition. However, the digital transformation has brought a shift in the way businesses are operating time-consuming tasks. 

The advancements in
communication technology help businesses improve their user experience while
collaborating and interacting with users through virtual communication tools or

The AI-powered
Video conferencing helps organizations to enhance their employee and audience
engagement while supporting their workflow by:

  •  Enriching web-based meetings via automated API
  •  Auto-generation of personalized notes for
    every attendee of the conference.
  •  Providing suggestions by checking network
    connections prior to the meeting.
  •  Identifying the best time to conduct meetings
    based on the attendee’s radical Personalization.

Integrating AI with data analytics, computer vision, visualization technologies, and Natural Language Processing is helping industries to transform traditional and generalized meetings into smart meetings. 

The following are a few ways how Artificial Intelligence (AI) and Machine Learning (ML) are helping enhance video conferencing tools:

  • The power of NLP in

Natural Language Processing
(NLP) is increasingly being in multiple ways to improve video conferencing
applications. Integration of NLP tools helps improve the overall user
experience of video conferencing by providing text-based solutions to enhance
non-verbal communication as well.

The AI-powered NLP tools enhance user-interface in distinctive ways by:

  • Generating
    automated reports such as critical points and personalized reports to each
    attendee, such as assigning tasks.
  •  Voice-based virtual assistants that function
    on command
  •  Auto muting other attendees while one person
    is making a presentation
  •  Auto-adjusting voice quality by turning off
    background voice 
  •  Translation of conversations to various

  • Computer Vision for
    a better Video Experience 

Visual experience can be
enhanced with intelligent video conferencing tools and computer vision. For
example, when computer vision is integrated with AI, it can enhance the video
quality and make real-time modifications by automatically detecting network
issues or visual issues and optimizing light balance to enhance the quality of
the video.

Computer vision helps deliver exceptional user experience by:

  • Improvising the
    background environment of the attendee
  • Making advanced
    video enhancements by widening camera angles, auto brightening and video
    alignments for focused participation of users.
  • Tracking and
    tagging of participants individually 
  •  Allowing the phone camera or webcam to frame
    all the participants.

  • Insights from
    Artificial Intelligence (AI)

Artificial Intelligence can
significantly manage and enhance the Video conferencing experience and
efficiently automates the post-meeting updates. Video conferencing, when
integrated with AI, helps organizations manage their regular meetings by
automating simple tasks such as:

  •  Sending Important Reminders.
  •  Providing suggestions for micro-changes when
    doing presentations or attending a conference.
  •  Scheduling and rescheduling the calls.
  •  Suggesting relevant documents to participants
    before the meeting.
  •  Notifying participants about the changes in pre-
    scheduled meetings.

  • Machine Learning
    (ML) to ensure Privacy

AI promises the privacy and
security of the participants of the video conference. Many participants face
trust issues while sharing confidential information, especially while
communicating in a group call. 

Application of Machine Learning
(ML) helps detect network or web breaches in order to secure crucial
information communicated during the meeting using ML-based anomaly detection.
Therefore Machine Learning ensures the security and privacy of the confidential
information of participants during the conference. 

AI-powered communication tools
have the potential to enhance the productivity and experience of virtual
meetings by enhancing the reliability of the technology.


Artificial Intelligence (AI) is
considered a robust, strategic and reliable resource to enhance video
conferencing. The AI-powered video conferencing tools are resilient and can
quickly adapt to any new technological changes according to the industry’s requirement. 

Therefore, organizations and professionals across the world should start using and adapting AI-powered communication tools for live conferences and meetings to enhance the overall experience of video conferencing and meetings.


  • 30 April, 2021
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