AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
Tableau
Tableau is a business intelligence platform for creating interactive data visualizations and dashboards with a drag-and-drop interface.
Power BI
Power BI is a Microsoft business intelligence platform for creating interactive reports and dashboards with deep Office 365 integration.
Grafana
Grafana is an open-source observability platform for monitoring and visualizing time-series data from multiple data sources.
Metabase
Metabase is an open-source business intelligence tool that enables non-technical users to ask questions of databases through a visual interface.
Hypothesis Testing
Hypothesis testing is a statistical method for making decisions about population parameters based on sample data and probability.
Null Hypothesis
The null hypothesis is the default assumption in statistical testing that there is no significant effect, difference, or relationship in the data.
Significance Level
The significance level (alpha) is the threshold probability below which a result is considered statistically significant, typically set at 0.05.
Chi-Squared Test
The chi-squared test is a statistical test that examines whether the distribution of categorical data differs from expected patterns.
Bootstrap
Bootstrap is a statistical resampling technique that estimates the distribution of a statistic by repeatedly sampling with replacement from the observed data.
Sample Size Calculation
Sample size calculation determines how many observations are needed for a statistical test to reliably detect a meaningful effect.
Batch Analytics
Batch analytics processes large volumes of accumulated data at scheduled intervals rather than in real time.
Streaming Analytics
Streaming analytics continuously processes data in motion, applying computations to events as they flow through the system.
Embedded Analytics
Embedded analytics integrates data analysis and visualization capabilities directly within business applications and workflows.
Self-Service Analytics
Self-service analytics empowers non-technical users to explore data and create reports without relying on data teams.
Augmented Analytics
Augmented analytics uses AI and machine learning to automate data preparation, insight discovery, and explanation of findings.
Conversational Analytics
Conversational analytics analyzes interactions from chatbots, voice assistants, and messaging to extract insights about user behavior and intent.
Visual Analytics
Visual analytics combines interactive data visualization with analytical reasoning to support decision-making through visual exploration.
Geospatial Analytics
Geospatial analytics analyzes data with geographic or location components to reveal spatial patterns and location-based insights.
Text Analytics
Text analytics extracts structured insights from unstructured text data using NLP techniques like sentiment analysis, topic modeling, and entity extraction.
Social Media Analytics
Social media analytics measures and analyzes data from social platforms to understand audience behavior, sentiment, and content performance.
Web Analytics
Web analytics measures and analyzes website traffic, user behavior, and conversion data to optimize online experiences and marketing effectiveness.
Product Analytics
Product analytics tracks and analyzes how users interact with a product to inform feature development, improve retention, and drive growth.
Marketing Analytics
Marketing analytics measures the performance and ROI of marketing campaigns, channels, and strategies using data-driven methods.
Customer Analytics
Customer analytics uses data to understand customer behavior, preferences, lifetime value, and satisfaction to improve business outcomes.
People Analytics
People analytics applies data analysis to human resources data to improve workforce decisions around hiring, retention, and employee experience.
Financial Analytics
Financial analytics applies data analysis to financial data for better budgeting, forecasting, risk assessment, and investment decisions.
Operational Analytics
Operational analytics monitors and optimizes day-to-day business operations using real-time and near-real-time data analysis.
Supply Chain Analytics
Supply chain analytics applies data analysis to logistics, inventory, and procurement data to optimize the end-to-end supply chain.
Pie Chart
A pie chart displays data as proportional slices of a circular graphic, showing how parts relate to a whole.
Box Plot
A box plot displays the distribution of numerical data through quartiles, showing the median, spread, and potential outliers.
Treemap
A treemap displays hierarchical data as nested rectangles, where each rectangle size represents a quantitative value.
Bubble Chart
A bubble chart extends scatter plots by adding a third dimension represented by the size of each data point.
Funnel Chart
A funnel chart visualizes the progressive reduction of data through sequential stages of a process.
Waterfall Chart
A waterfall chart shows how an initial value is incrementally increased or decreased by intermediate positive and negative values.
Sankey Diagram
A Sankey diagram visualizes the flow and quantity of resources, data, or values between nodes using proportionally-sized arrows.
Network Graph
A network graph visualizes relationships between entities as nodes connected by edges, revealing connection patterns and structures.
Choropleth
A choropleth map uses color shading to represent data values across geographic regions, revealing spatial patterns and distributions.
Dashboard Analytics
Dashboard analytics presents key performance indicators and metrics in a unified visual interface for monitoring and decision-making.
Interactive Visualization
Interactive visualization allows users to explore data dynamically through filtering, zooming, hovering, and selecting to discover insights.
Looker
Looker is a Google Cloud business intelligence platform that uses a modeling language (LookML) to define metrics and enable self-service analytics.
Grafana
Grafana is an open-source observability platform for creating dashboards that visualize metrics, logs, and traces from diverse data sources.
Apache Superset
Apache Superset is an open-source data exploration and visualization platform for creating interactive dashboards from SQL-based data sources.
Descriptive Statistics
Descriptive statistics summarize and describe the main features of a dataset using measures of central tendency, dispersion, and shape.
Inferential Statistics
Inferential statistics uses sample data to draw conclusions about larger populations through hypothesis testing and estimation.
Mann-Whitney U Test
The Mann-Whitney U test is a non-parametric test that compares two independent groups without assuming normal distribution.
Bonferroni Correction
The Bonferroni correction adjusts significance thresholds when performing multiple statistical tests to control the overall false positive rate.
Bayesian Inference
Bayesian inference updates probability estimates for hypotheses as new evidence is observed, combining prior knowledge with data.
Posterior Distribution
The posterior distribution represents updated beliefs about a parameter after combining prior knowledge with observed data.
Turn owned content into answers
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InsertChat
Interactive FAQ
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Product FAQ
What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.