Focus on what really matters and reach your full potential
AI Companion surfaces and completes tasks for you across your workday
Receive an agenda to cover what's important and host more effective meetings
Stay on track during your meeting with real-time summaries*
Always get a summary regardless whether your meeting takes place in person* or virtually
Keep your projects on track with automated task creation and notifications*
Get help with organizing your day and managing your time*
*Features coming soon
Let AI Companion jumpstart your drafts and do the research for you
Plan and brainstorm new content with AI Companion based on the context from recent meetings or tasks assigned to you before drafting the content.
AI Companion writes for you and like you when you share your role and preferred style
Get started with the right template in Zoom Docs to match your objective
Let AI Companion do the research for you, providing relevant information from both internal documents and the web
Handles multi-layered inquiries and tasks on its own, like creating support tickets with third-party systems, so your customers get resolutions faster
Provides clear and accurate answers, even to complex questions, making the conversation feel smooth and natural
Delivers seamless and consistent experiences across channels and previous interactions
Work smarter by having AI Companion take action and execute tasks on your behalf. With AI Companion managing your tasks, you’ll stay on top of requests throughout your workday, watch as items are crossed off your to-do list, and keep your teammates informed and on track. Included in paid Zoom Workplace plans.
AI Companion automatically detects action items across Zoom Workplace from meetings, chats, emails, and docs
AI Companion-initiated suggestions help you get a jump with recommendations for next steps
The Tasks tab provides a central repository to track personal, team, and project tasks, from creation to completion
AI Companion will find the best time for all invitees and generate a suggested agenda*
Have AI Companion create advanced writing plans and documents for you*
AI Companion creates a meeting agenda in advance based on templates or previous meetings, then summarizes the meeting in real time to keep discussions on track*
AI Companion can help you manage a series of multi-step actions on your behalf. Think about Zoom AI Companion as your dedicated team of highly skilled agents that you can delegate your work to.
What does this mean for you? It means you can get your work done faster, improve results and have more time to build relationships with colleagues and customers. To do this, our AI agents are being developed with the following characteristics:
Analyzes situations, make decisions, devise strategies, to autonomously pursue your goals
Continually improves by learning from the past to adapt new strategies
Understands the right tools and skills to use based on your intent
Manages skills or other agents, on your behalf, to achieve your goals
See how AI Companion can work for you and your customers.
Use these materials to help you get your organization collaborating and communicating more effectively with AI Companion.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. The term can also be applied to any machine that exhibits traits associated with a human mind, such as learning and problem-solving.
The primary purpose of AI is to facilitate the creation of systems that can perform tasks requiring human intelligence. These tasks include decision-making, problem-solving, speech recognition, and language translation, among others. AI is designed to increase efficiency, accuracy, and automate mundane or complex tasks.
There are several types of AI, primarily categorized as narrow (or weak) AI, general (or strong) AI, and superintelligent AI. Narrow AI is designed for specific tasks and operates under a limited pre-defined range or context. General AI is an advanced form that can understand, learn, and apply knowledge in different contexts, similar to a human. Superintelligent AI surpasses human intelligence across all fields, including creativity, general wisdom, and problem-solving.
Yes, different types of AI can be used together. For example, a common approach to providing more accurate answers is the use of Retrieval-augmented generation (RAG). Another example is our own Federated approach where we use multiple models to provide high quality output for users.
AI is a broader concept concerning machines designed to act intelligently, like humans. Machine learning (ML) is a subset of AI that involves the study of computer algorithms that improve automatically through experience and data. In essence, all machine learning is AI, but not all AI involves machine learning.
The benefits of using AI include increased efficiency, speed, and accuracy; reduced human error; the ability to analyze and process vast amounts of data; and the automation of repetitive tasks. AI can also enable new capabilities and services, such as personalized recommendations and advanced diagnostics.
The concept of AI has been around since the mid-20th century. The term "artificial intelligence" was first coined by John McCarthy in 1956 during the Dartmouth Conference, where the field was formally founded.
Generative AI works by using algorithms to create content. It learns from a dataset, understanding patterns, structures, and relationships within the data. This learning process enables it to generate new data similar but not identical to the original ones, including text, images, music, and voice.
Generative AI focuses on creating new data or content that mimics the original data on which it was trained. General AI, on the other hand, refers to a type of AI that has the ability to understand, learn, and apply intellectual abilities across a wide range of tasks, similar to human intelligence.
Predictive AI focuses on using historical data to predict future outcomes, typically through models that infer patterns from past events. Generative AI, instead, focuses on producing new data instances and content that are similar to its training data but not identical.
The main goal of generative AI is to generate new content or data that are similar to the original training set but are unique and innovative in their own right. This includes creating realistic images, text, sound, and other forms of media.
Examples of generative AI include AI that can create realistic images or art, compose music, write stories or articles, generate realistic human voices, and create new designs or simulations.
Generative AI cannot create content with genuine human emotions or experiences, understand context beyond its training data, or possess real-world understanding and consciousness. Its creations are limited by the data it has been trained on and the algorithms it uses.
Generative AI creates new content based on learned data patterns, which can include text, images, music, and more. Conversational AI, however, specifically refers to AI systems designed to communicate with humans in natural language, simulating human-like conversation.
Conversational AI works using natural language processing (NLP) and machine learning to understand, interpret, and respond to human language in a way that mimics human conversation. It can be implemented in chatbots, voice assistants, and other applications to provide responses based on a combination of programmed rules and learned data.
Conversational AI solves problems related to customer service, information retrieval, and interaction efficiency. It provides users with immediate responses.
Examples of conversational AI include chatbots on websites, virtual personal assistants like Siri and Alexa, and messaging apps that offer automated responses or support.
Conversational AI can be used in customer service, healthcare, retail, finance, hospitality, and many other industries. It is useful for handling inquiries, providing user support, engaging customers, and streamlining communication processes.
