Artificial intelligence (AI) mimics the thinking patterns of the human mind in the context of computing. AI is programmed to replicate the way humans make decisions or solve certain problems. It’s widely used across technological solutions to automate manual tasks.
Bots are AI-trained applications that use NLP and machine learning (ML) algorithms to carry out certain tasks programmed in them. For instance, Google uses “crawler” bots to visit websites all over the internet, retrieve relevant content from the website, and index it in a database so that it can produce the website in the right context when a user searches for relevant keywords or phrases.
Conversation intelligence—used interchangeably with conversational intelligence—is the use of an artificial intelligence (AI) technology to record and analyze voice or text in order to infer meaningful insights.
Conversational AI is the technology that leverages natural language processing (NLP) to let humans talk to software applications such as Interactive Voice Response (IVRs), chatbots, or voice assistants. Asking Alexa to play a particular song is an example of a conversation AI technology.
With competitor intelligence, you can get an instant overview of the most mentioned and least mentioned competitors that your prospects refer to during the sales interactions. You can use competitor intelligence to your advantage by understanding customer preferences and building capabilities to outdo your competitors.
A conversation intelligence software facilitates this effectively by helping business functions like sales or customer success to record, transcribe, process, and analyze prospect, customer, and internal organizational conversations. It also allows them to easily access and share key information across the organization and ensure everyone is on the same page.
As a subset of revenue intelligence, the deal intelligence capability enables businesses to diagnose the health of each deal at a more granular level and course-correct their action in order to control the deal outcome.
Interactive intelligence helps sales leaders mine important interaction data to coach their sales reps better, accelerate the customer and employee onboarding processes, and understand customers better.
Machine learning is an AI capability in software and other technological solutions that helps machines to learn from data fed into them, understand user preferences based on relevant inputs and self-improve their performance over time to deliver more contextual results.
Natural Language Processing (NLP) is a branch of AI that helps machines analyze and interpret human language—both written and speech-based.
Revenue intelligence is the revenue-specific insights that a conversation intelligence tool provides to help businesses gain a 360°-view of the entire sales cycle. With revenue intelligence, RevOps teams can get automated data about a deal’s health, gaps in the process, any opportunities to close a deal faster, and other account-related critical information. The RevOps teams can use these insights to take actionable decisions to improve their win rate.
Sentiment analysis uses NLP to identify a wide variety of human emotions based on a certain type of content such as written texts, recorded audio, or video. Several tech companies use sentiment analysis technology to collect and analyze user data about their products, services, or ideas.
Speaker identification is a capability that conversation intelligence offers wherein an AI can recognize the different people speaking in a meeting based on the characteristics of their voices. Speaker recognition (also referred to as speech recognition) is often mapped to the user identities (e.g., first and last name, email address) that meeting participants provide during the log-in event.
Topic intelligence allows sales teams to accelerate the learning between peers, curate the topics that high-performing reps spend the most time on, and bring up the right topic at the right time during a meeting.
In a business environment, meetings are a tool for exchanging thoughts, brainstorming new ideas, addressing and solving business problems, and improving collaboration between your organization and prospects, customers, partners, and also between different departments within your organization. Given that most of today’s meetings are remote—they can happen over Zoom, Google Meet, or other conferencing apps.
A meeting assistant is usually an AI bot that automates the note-taking aspect of a meeting by recording, transcribing, and organizing meeting conversations from speech to text for future reference.
Meeting management is the whole gamut of managing different aspects of a meeting event such as planning and scheduling a meeting, making the most out of a meeting conversation, and retrieving important information from the conversation for meaningful analysis.
Meeting collaboration is a set of activities that meeting participants carry out before, during, and after the meeting such as inviting people, responding to a meeting invite, sharing agendas, taking notes, brainstorming new ideas, sharing their knowledge, and summarizing the conversation.
Meeting analysis is a way for you to analyze meeting data in real-time or asynchronously to understand critical aspects of audio and video meetings such as meeting summary, the purpose of the meeting, objections, pain points, outcomes, next steps, etc.
Meeting intelligence is an AI-powered capability to derive insights into meeting interactions. It usually appears in the reporting dashboard of a conversation intelligence platform and shows a consolidated summary of interactions such as most used keywords, phrases, topics, talk time ratio, etc..
Calls are conversations that take place between business functions and customers over an audio-only format like telephone, dialers, and more.
Call analysis is the real-time and asynchronous evaluation of audio-only calls to understand critical aspects of the conversation such as the call summary, purpose, objections, outcomes, next steps, etc.
Meeting Scheduler is Avoma’s free calendar functionality that lets you share your time availability with other people within or outside your organization to schedule meetings based on your calendar.
A meeting agenda is a list of topics that the meeting participants are expected to address during the meeting to keep the meeting on track, set the right expectations, and facilitate alignment between all participants.
Meeting agenda templates are standardized meeting outlines that help you structure your repeatable meetings in a certain way based on the nature of the meeting. With Avoma, you can leverage the Agenda Templates capability to define the structure of your AI-generated notes with custom categories. This helps Avoma’s AI extract notes organized by your pre-defined format.
A meeting lifecycle assistant is a platform that helps you manage the entire meeting lifecycle—from scheduling your meetings to automatically taking notes during the meetings and from reducing no-shows to getting actionable intelligence from conversations across the board.
Avoma’s meeting lifecycle assistant offers a single solution for all your meeting requirements across the organization. It not only makes your meetings smarter and actionable but also helps you break workplace silos because the platform optimizes for individual and team needs.
AI-generated notes are a one-page summary of meeting conversations that the AI automatically generates after the meetings are over. The notes are presented in a bulleted format for ease of use. Some conversation intelligence platforms such as Avoma automatically syncs these notes to your CRM so that you don’t have to do it manually.
Collaborative Note Editor allows you to take notes in real time, view, and edit them along with other meeting participants at the same time. Collaborative Note Editor improves collaboration and brings alignment between individuals or teams. In Avoma, the Collaborative Note Taking automatically time-stamps your notes and links it contextually to your meeting recording so you can listen to it later.
Live Bookmarking allows you to dynamically capture key moments during your meetings and categorize them in a single click. With Avoma’s Live Bookmarking feature, you don’t need to type a word when a meeting is taking place. You just have to click on the bookmarking categories and Avoma will automatically capture corresponding notes relevant to those categories and time-stamp them respectively.
With Avoma’s Snippets feature, you can highlight a specific portion of a meeting transcript and capture audio and video snippets in order to share customer feedback with other individuals and teams in your organization.
Meeting analysis is a way for you to analyze meeting data in real-time or asynchronously to understand critical aspects of audio and video meetings such as meeting summary, the purpose of the meeting, objections, pain points, outcomes, next steps, etc.
Playlists are audio and video conversations that you can save and curate in a conversation intelligence platform to consume information in a faster, more efficient way.
Transcripts are text versions of an audio or video recording. Avoma automatically transcribes all your meetings and lets you share them with other people or search through the conversation notes for specific keywords.
Synchronous communication is the real-time exchange of data and information between two or more people either in person or through a virtual interface like chat, phone calls, messenger, video conferencing, and so on.
Asynchronous communication happens when two or more people interact with each other in a staggered, intermittent fashion. Unlike synchronous communication, people talking asynchronously don’t need to present at the same time to have a complete conversation. Examples of asynchronous communication include email, chat, messenger, comments on social media posts, etc.
Enabling Zoom Cloud Recording lets you record meetings on Zoom Cloud. You don’t necessarily need the Avoma bot as a meeting participant. By default, Zoom will also notify you and the other meeting participants that the call is being recorded.
