Agentic AI is changing online meeting platforms: Moving from silent observer to active participant

Online meetings were the same as the physical world colleagues.

With the application of a generative AI, online meeting platforms began to add new concepts, including voice transcription services. Platform vendors, including Microsoft teams, Google Meeting and Cisco Webex, have sustainable integrated opportunities that are released from the work that the person can provide physical meetings.

Now, in the period emerging of the Agentic AI, online meetings are preparing to leave with a new wave of new innovation. The zoom was recently announced ACAIC AI efforts aiming to create ParadeGM, link to stages from meetings. Microsoft added Copilot actions Microsoft can combine teams with the service, help users receive ideas and contact other Microsoft services. Cisco is expanding steadily AI capabilities on WebexAt the end of 2024, he announced a WebEX AI agent that helps to place a contact center.

There is another firm that is especially active in space ReachIt is slightly different, not directly closed to the platform of any specific online meeting. Otter, first of all, made its own sign in the EU transcription service, added an AI assistant named EU’s Chat Assistant and a number of session opportunities known as Meeting genayi.

Today, Otter, agent, a step forward, including AI. The agent of the agent, which is added to the Otter, is not unique, each agent is at least something that is not yet part of AI meeting technology. Otter AI is now combined as an institution within a meeting that can meet the requests in voice.

AI can no longer be obtained through an external participant chat window; AI is now a living institution that is part of the meeting.

Rise of AI Meeting Agents: Out of Silent observers

For the last few years, AI Meeting Assistants create transcripts, summaries of passive observers, to allow and allow after the meeting. Now it changes this dynamics with the AI ​​meeting agent, which can take an active part in conversations when it is called.

“The new AI meeting agent will be able to vote in real time meetings of our construction,” said, “SAM Liang, Otter’s CEO of EU.” You can say, ‘Hey Otter’ and ask questions. “

In a live demonstration with VentureBeat, Liang showed how to respond to the actual questions, and how the meeting could answer the summaries and even the following conversation, and even support the audio commands.

What makes this feature strong is the ability to connect the agent to a company’s knowledge ecosystem.

“It can be an agent domain specialist,” said Liang. “When you meet, there is almost endless information from the Internet, but this agent also has information about your enterprise.”

Autonomous Agents: When AI session

Taking the adventric ability, the Otter also begins with an autonomous SDR (Sales Development Representative) agent who can lead all the meetings independently without human intervention. This agent welcomes visitors to the website, holds meetings with product demonstrations and representatives of human sales.

“We can’t hire a million people agents to answer the questions, but we set up this Otter SDR agent, who acted as a sales development representative, which will greet each guest,” said Liang.

The use of chatbots and avatar-based systems is not new. Liang claimed that the company’s technology has distinguished from existing avatar-based solutions to real-time Multimedia product demonstrations. Autonomous Agent can share screens, demonstrate product features and answer specific questions related to functionality and price.

Technical architecture of EU for meetings

Agentic AI is usually very much-loaded in the industry today and is a slightly overly limitless period.

Functionally, the Agentic AI has a tool that can be made by combining multiple models with a tool like Langchain or the functional capabilities available in many models.

Liang Agent has a definition of even more for AI.

“In general, agents are a more sophisticated AI system that can divert a large and complex work to smaller positions,” he said. “It can make thinking and make some planning to perform a task.”

Otter Langchain does not use, but developed its own special technology specifically designed for the problems of a very talking sound environment. Technical architecture combines both public knowledge and the owner’s information through a special dwarf (purchased generation). This allows the company to understand the data specific to the company such as employee names, project terminology and internal abbreviations.

The future that responds to the meeting is not only the agent of AI

An agentic AI brought to online meeting platforms is a powerful set of new opportunities for organizational efficiency.

For decades, organizational efficiency experts warned the risks of wasted time in meetings. Modern AI-powered platforms change this risk. Last week, Zoom’s CTO told me that the speech of a purposeful meeting was not just another meeting, but the actions that will benefit the organization.

Although the agent can create a workflow AI, it is also useful for regular AI assistants who do not agent. There will still be a standalone EU assistants and full agents, and this will be a good thing due to the information connection and collaboration information in Anurag Dhingra, SVP & GM, enterprise connection and Cisco.

“AI agents offer benefits in developing both the autonomous do-ERS and AI assistants, and the benefits of developing productivity and increase general cooperation,” said Dhingra Venturebeat. “This is not a matter of choosing one on the other hand, but to use the combined powerful side to create an environment in which the teams can deal with innovation and strategic decision setting.”

Initially, there is a further interaction on the starting, various platforms. For example, Cisco will work with AI Assistant Salesforce, workflow applications such as Servicenow and Outlook.

Strategic results of Agent AI for enterprise meetings

AI adoption for enterprises that evaluate road maps, the approach of Otter’s meeting agents represent a strategic infection.

Instead of hoping for the general purpose AI and ROI, the domains of the organization should think of how to solve the concrete pain points with specific meeting agents.

As the Ai continues to develop from the means we use, the colleagues and differentiation will be educated, not in basic models, but also how to use a certain work context and domain knowledge.