Online meetings was just like their physical world colleagues.
With the introduction of generative AI, online meeting platforms added recent insights, including language transcription services. Platform providers, including Microsoft teams, Google Meet and Cisco Webex, have steadily integrated functions that transcend personal physical meetings.
Now in the newest era of Agentic -KI, online meetings are able to deviate even further with a brand new wave of innovations. Zoom recently announced his acting AI efforts, which aim to create the paradigm shift from meetings to milestones. Microsoft has added Copilot campaigns that may integrate into the Microsoft team service as a way to help users within the meetings to get insights and connect with other Microsoft services. Cisco steadily expanded its AI functions in Webex and announced a WebEX -Ai agent at the tip of 2024, which can help with the supply of the contact center.
Another company that was particularly energetic within the room is To theWhat is somewhat differentiated than shouldn’t be directly sure to a particular online asset provider platform. While Otter marked the primary time as a AI voting transcription service, it has added an AI assistant named Otter Pilot, an AI chat assistant and a variety of meeting functions which are often known as a gathering gena.
Today Otter goes one step further along with his foray to the Agentic AI. While a number of the acting AI functions that add Otter are usually not unique, it does no less than one thing that shouldn’t be yet a part of every agentic ai meeting technology. Otter Ai is now integrated as a unit in a gathering that may actually react to queries with Voice.
The AI is not any longer an external participant who is barely accessible via a chat window. Ai is now a living unit that’s literally a part of the meeting.
The rise of the AI review agents: Beyond silent observer
In recent years, AI meeting assistants have passive observers who surpassed talks, create summaries and enable queries after the meeting. Otter is now changing this dynamic along with his AI meeting agent, who can actively take part in conversations throughout the summon.
“The recent AI meeting agent that we construct can enable you at Voice in real-time meetings,” said Sam Liang, CEO of Otter AI, to Venturebeat. “During the meeting you may say:” Hey Otter “and ask questions.”
In a live demonstration with a enterprise beat, Liang showed how the agent answered factual questions, hit summaries and even plan follow-up meetings through voice commands during an energetic conversation.
What makes this particularly powerful is the agent's ability to connect with an organization's knowledge ecosystem.
“This agent is usually a domain expert,” said Liang. “If you organize a gathering, it has almost infinite knowledge from the Internet, but this agent also has knowledge of your organization.”
Autonomous agents: When the AI carries out the meeting
If Otter takes over one step further, Otter also starts an autonomous SDR agent (sales member) who may be carried out independently of each other without human interventions. This agent welcomes website visitors, carries out product demonstrations and plans follow-up meetings with representatives of individuals.
“We cannot hire 1,000,000 human agents to reply questions, but we have now built this Otter SDR agent who, like a representative of sales development, functions that welcome each visitor and provides them a living demo,” said Liang.
The use of chatbots and avatar-based systems shouldn’t be recent. Liang argued that what distinguishes the technology of his company from existing avatar-based solutions is its ability to perform multimedia product demonstrations in real time. The autonomous agent can share screens, reveal product functions and reply to certain questions on functions and pricing.
The technical architecture of the agents -KI for meetings
The Agentic AI is now a overloaded and somewhat overlapping term within the industry.
The acting AI is actions that may be done by combining several models with a tool resembling Langchain or using the functional functions available in lots of models.
Liang has a good more nuanced definition for the Agentic AI.
“Agents basically are a more demanding AI system that may break down a big and sophisticated task into smaller tasks,” he said. “It may cause reasoning and plans to plan to perform a task.”
Langchain doesn’t use Otter, but has developed its own custom technology that was specially developed for the challenges of voice environments with several speakers. The technical architecture combines each the access of public knowledge and proprietary company information via a customer-specific implementation of rags (retrieval-approved generation). In this fashion, the agent can understand company -specific information resembling employees names, project terminology and internal acronyms.
The way forward for the meeting of intelligence shouldn’t be just the Agentic Ai
What the Agentic AI brings on online Meeting platforms is a strong recent series of functions for organizational efficiency.
For many years, organizational efficiency experts have warned of the risks of time waste in meetings. Modern AI-powered platforms change this risk. Last week, Zooms CTO told me that his goal was to relocate the technology from Meetings to milestones wherein the output of a gathering not only advantages one other meeting, but additionally doesn’t profit the organization.
While Agentic Ai can create workflows, there are also advantages in regular AI assistants who are usually not actually acting. According to Anurag Dhingra, SVP & GM, Enterprise connectivity and collaboration with Cisco, there’ll still be independent AI assistants and complete actors.
“While AI agents function a helper as autonomous Do-Oers and AI assistants, each benefits offer to extend productivity and improve your entire cooperation,” Dhingra told Venturebeat. “It shouldn’t be about choosing one over the opposite, but using their combined strengths to create environments wherein teams can consider innovation and strategic decision -making.”
What also starts is more interoperability on various platforms. For example, Cisco's AI assistant will work with Workflow applications resembling Salesforce, ServiceNow and Outlook.
Strategic effects of agents -KI on corporate meetings
For corporations that evaluate their AI adoption -roadmap, Otters is a strategic turning point for the discussion of agents.
Instead of implementing the overall AI basically and hoping for ROI, organizations should consider how domain -specific meeting agents can tackle concrete pain points with measurable effects.
If the AI continues to develop from tools that we use to colleagues with whom we work with, the differentiation is increasingly not present in the underlying models, but within the indisputable fact that they’re effectively trained to grasp certain business contexts and domestic knowledge.
