Agent Assist
- Definition
- Agent assist is AI software that supports a human customer-service representative during a live contact by transcribing the conversation, surfacing answers, and drafting notes. Here the agent is the human representative.
Showing 20 of 101 terms
Agentic Process Automation
- Definition
- Agentic process automation applies AI agents to business processes, so the automation can read unstructured inputs, choose the next step, act across systems, and work the exceptions that rule-based tools send to…
Agentic Workflow
- Definition
- An agentic workflow is a business process in which an AI agent carries out some steps on its own, choosing actions and calling tools, while fixed rules and human checkpoints govern the…
AI Acceptable Use Policy
- Definition
- An AI acceptable use policy is the written rule set that tells staff which AI tools they may use, with which data, for which tasks, and who approves exceptions.
AI Adoption
- Definition
- AI adoption is the extent to which people and processes in a company actually use AI systems in daily work, measured by who uses them, how often, for which tasks, and with…
AI Center of Excellence
- Definition
- An AI center of excellence is a small central team that sets AI standards, runs shared tools and infrastructure, and helps business units deliver AI projects without each one rebuilding the same…
AI Governance
- Definition
- AI governance is the set of policies, roles, controls, and records a company uses to decide which AI systems it runs, how they are built or bought, and who answers for their…
AI in Customer Service
- Definition
- AI in customer service is the use of chatbots, voice assistants, agent assist tools, and AI agents to answer customer questions, resolve routine requests, and support human representatives on harder ones.
AI in Finance
- Definition
- AI in finance is the use of machine learning and language models in banking, lending, insurance, collections, and corporate finance to score risk, detect crime, and automate document-heavy work.
AI in Healthcare
- Definition
- AI in healthcare is the use of machine learning and language models in clinical, administrative, and revenue cycle work, under privacy rules that govern where patient data may be processed.
AI in Legal Services
- Definition
- AI in legal services is the use of language models and document analysis in law firms and corporate legal departments for research, contract review, discovery, drafting, and matter management under strict confidentiality.
AI in Manufacturing
- Definition
- AI in manufacturing is the use of machine learning, computer vision, and language models on the plant floor and in planning to improve quality, uptime, scheduling, and the use of materials and…
AI Literacy
- Definition
- AI literacy is the knowledge and judgment people need to use AI systems well in their role. The EU AI Act requires providers and deployers to take measures that support it among…
AI Maturity Model
- Definition
- An AI maturity model is a framework that describes the stages a company moves through as it learns to use AI and scores the company on dimensions such as data, skills, governance,…
AI Ownership
- Definition
- AI ownership means running AI on model weights, infrastructure, and data paths a company controls, instead of renting a provider's model per token. It suits companies with sensitive data or steady volume.
AI Readiness
- Definition
- AI readiness is the degree to which a company has the data, infrastructure, security controls, skills, and governance needed to put a specific AI use case into production and keep it running.
AI Strategy
- Definition
- An AI strategy is a company's plan for where AI will create value, which use cases come first, how models will be sourced and governed, and what data and skills the plan…
AI Value Tracking
- Definition
- AI value tracking is the ongoing measurement of whether a deployed AI system delivers the benefits in its business case, comparing outcomes, usage, and running costs against a baseline taken before launch.
Anomaly Detection
- Definition
- Anomaly detection is the use of statistics and machine learning to find records, events, or readings that differ markedly from normal patterns, such as a fraudulent payment or a machine that is…
Anti-Money Laundering (AML)
- Definition
- Anti-money laundering (AML) is the set of laws, controls, and monitoring systems that financial institutions use to detect and report attempts to disguise the origin of illicit funds. AI now does much…
Asset Performance Management
- Definition
- Asset performance management (APM) is the practice of combining equipment condition data, maintenance history, and risk analysis to decide what to maintain, when, and how. The term also covers the software that…
Asset Reliability
- Definition
- Asset reliability is the probability that a piece of equipment performs its required function without failure for a stated period under stated conditions, and the engineering work that keeps that probability high.
Automated Decision-Making
- Definition
- Automated decision-making is the use of software to reach decisions about people without meaningful human involvement. GDPR Article 22 restricts such decisions when they have legal or similarly significant effects on a…
Automated Machine Learning (AutoML)
- Definition
- Automated machine learning (AutoML) is software that automates the steps of building a model, including data preparation, algorithm selection, hyperparameter tuning, and evaluation.
Business Intelligence (BI)
- Definition
- Business intelligence (BI) is the practice and tooling for turning operational data into reports, dashboards, and analyses that tell managers what happened and how the business is performing.
Business Value of AI
- Definition
- The business value of AI is the measurable gain an AI system delivers in cost, revenue, risk, or speed, net of what the company spends to build, run, and maintain it.
Change Management for AI
- Definition
- Change management for AI is the planned work of preparing people, roles, and procedures for a new AI system so that the change is understood, accepted, and still in place months after…
Churn Prediction
- Definition
- Churn prediction is the use of a model to estimate which customers are likely to leave, or sharply cut their business, within a set period, so a team can act before they…
Citizen Developer
- Definition
- A citizen developer is an employee outside the IT department who builds applications, automations, or AI agents for their own team using no-code or low-code tools that IT has approved.
Condition Monitoring
- Definition
- Condition monitoring is the continuous or periodic measurement of an asset's health, such as vibration, temperature, or oil quality, to detect developing faults before they cause a breakdown.
Conversational AI
- Definition
- Conversational AI is the set of technologies that lets software hold a natural, multi-turn dialogue with people by text or voice, combining speech recognition, language understanding, dialogue management, and back-end integration.
Copilot (AI Assistant)
- Definition
- A copilot is an AI assistant embedded in a work application that drafts, summarizes, and answers questions from the content the user has open, while the person keeps control of the final…
Cross-Functional AI Teams
- Definition
- Cross-functional AI teams are small project groups that combine a business owner, frontline experts, engineers, IT security, and compliance staff to take one AI use case into production and keep it running.
Dashboard
- Definition
- A dashboard is a screen that displays a chosen set of metrics and charts, refreshed from live or scheduled data, so a team can monitor performance and spot problems at a glance.
Data Historian
- Definition
- A data historian is a time-series database that records readings from industrial equipment and control systems at high speed and keeps them for years, forming the raw material for maintenance and energy…
Data Lakehouse
- Definition
- A data lakehouse is a data platform that stores all data as open files in low-cost object storage while adding the tables, transactions, and governance of a data warehouse on top.
Data Silo
- Definition
- A data silo is a store of business data that one team or system controls and that other parts of the company cannot easily access, combine, or reconcile with their own.
Decision Intelligence
- Definition
- Decision intelligence is a discipline that designs business decisions explicitly, linking the available actions to expected outcomes through data, models, and rules, then tracking results to improve the next decision.
Decision Support System
- Definition
- A decision support system (DSS) is software that helps people make decisions by gathering relevant data, applying models or rules, and presenting options or recommendations, while a person keeps the final choice.
Demand Forecasting
- Definition
- Demand forecasting is the estimation of how much of a product or service customers will want in a future period, by item, location, and time, so that purchasing, production, and staffing can…
Descriptive Analytics
- Definition
- Descriptive analytics is the analysis of historical data to summarize what happened, using counts, totals, averages, and trends presented in reports and dashboards.
Diagnostic Analytics
- Definition
- Diagnostic analytics is the examination of historical data to explain why an outcome occurred, by drilling into segments, comparing periods, and testing which factors moved together with the result.
Digital Disruption
- Definition
- Digital disruption is a shift in a market caused by digital technology or a digital business model that changes how customers buy and makes established products, channels, or pricing less competitive.
Digital Transformation
- Definition
- Digital transformation is the redesign of a company's processes, customer interactions, and decisions around software and data, so that work runs through connected systems instead of paper, spreadsheets, and manual handoffs.
Digital Twin
- Definition
- A digital twin is a software model of a physical asset, process, or facility, kept current with sensor and operational data, so planners can monitor it, test changes, and predict its behavior…
Document Automation
- Definition
- Document automation is software that assembles contracts, letters, proposals, and reports from approved templates, business rules, and system data, and can use a language model to draft the passages that vary.
Dynamic Pricing
- Definition
- Dynamic pricing is the practice of changing prices frequently in response to demand, capacity, timing, and competitor prices, usually with a model that recommends each price within limits the business sets.
Edge AI
- Definition
- Edge AI is the running of machine learning models directly on local devices such as cameras, gateways, industrial PCs, and phones, so decisions are made where the data is captured.
Edge Computing
- Definition
- Edge computing is the processing of data on or near the devices that generate it, such as sensors, machines, and store systems, instead of sending everything to a central data center or…
Energy Management
- Definition
- Energy management is the practice of measuring, controlling, and reducing the energy a company uses across buildings, equipment, and processes, using meters, control systems, and analytics to lower cost and emissions.
Enterprise AI
- Definition
- Enterprise AI is the use of artificial intelligence inside a company's core operations, connected to its systems of record and run under the same security, governance, and support as other business software.
Enterprise AI Platform
- Definition
- An enterprise AI platform is the shared software layer on which a company builds and runs its AI applications, combining model access, data connections, identity and access control, agent tooling, monitoring, and…
Expert Systems
- Definition
- An expert system is software that captures a specialist's knowledge as explicit rules and facts and applies them with an inference engine to solve problems or recommend decisions in a narrow domain.
Fraud Detection
- Definition
- Fraud detection is the use of rules, statistics, and machine learning to spot transactions, claims, or account activity that are likely deceptive, so they can be blocked or reviewed before money is…
Hyperautomation
- Definition
- Hyperautomation is a strategy for automating business processes end to end by combining workflow tools, robotic process automation, document AI, process mining, and AI agents under one set of controls.
Intelligent Automation
- Definition
- Intelligent automation combines rule-based automation, such as workflow software and robotic process automation bots, with AI models that read documents, classify requests, and make predictions, so processes can handle inputs a script…
Intelligent Document Processing (IDP)
- Definition
- Intelligent document processing (IDP) combines OCR, classification, and language models to turn invoices, contracts, forms, and other documents into validated structured data that flows into business systems.
Internet of Things (IoT)
- Definition
- The Internet of Things (IoT) is the network of physical devices with sensors and connectivity that collect and transmit data about equipment, environments, and goods without human input.
Inventory Planning
- Definition
- Inventory planning is the process of deciding how much of each item to stock, where to hold it, and when to reorder, so that a business meets demand without tying up cash…
IoT Platform
- Definition
- An IoT platform is the software layer that connects, manages, and secures fleets of devices, ingests their sensor data, and makes it available to applications, analytics, and AI models.
Key Performance Indicator (KPI)
- Definition
- A key performance indicator (KPI) is a measurable value, tied to a target, that a business tracks to judge whether a process, team, or strategy is performing as intended.
Know Your Customer (KYC)
- Definition
- Know your customer (KYC) is the process regulated firms use to verify who a customer is, understand what the customer does, and rate the risk of the relationship at onboarding and afterward.
Low Code
- Definition
- Low code is a way of building applications with visual tools and prebuilt components while allowing developers to add hand-written code where the visual blocks cannot express the needed logic or integration.
Machine Vision
- Definition
- Machine vision is the use of industrial cameras, lighting, and image analysis software to inspect, measure, guide, and identify parts on a production line, usually in real time and tied to plant…
Managed AI Service
- Definition
- A managed AI service is an arrangement in which a provider operates an AI system on the customer's behalf, handling hosting, updates, monitoring, security patches, and support, while the customer uses the…
Model Risk Management
- Definition
- Model risk management is the discipline of inventorying, validating, and controlling the models a company relies on for decisions, developed in banking under SR 11-7 and now applied to AI systems generally.
Monte Carlo Simulation
- Definition
- Monte Carlo simulation is a method that estimates the range and likelihood of possible outcomes by running a model thousands of times, each time drawing uncertain inputs at random from their probability…
Natural Language Query
- Definition
- Natural language query is the ability to ask a question of a database or reporting tool in plain English and receive the answer as a table, chart, or sentence computed from live…
No Code
- Definition
- No code is an approach to building software through visual tools, forms, and prebuilt components instead of written programming, letting business users assemble applications, workflows, and AI agents themselves.
Optimization
- Definition
- Optimization is the mathematical method of choosing values for decision variables that maximize or minimize an objective while satisfying constraints. Linear and integer programming are its main business forms, from truck loading…
Predictive AI
- Definition
- Predictive AI uses historical data to forecast what will happen or to classify what something is, producing a number, a category, or a probability rather than new content. It is the counterpart…
Predictive Analytics
- Definition
- Predictive analytics is the use of statistical models and machine learning on historical data to estimate the likelihood of future outcomes, such as which customers will churn or which machines will fail.
Predictive Maintenance
- Definition
- Predictive maintenance uses sensor data and machine learning to forecast when equipment is likely to fail, so repairs can be scheduled shortly before failure instead of on a fixed calendar or after…
Predictive Model
- Definition
- A predictive model is a trained statistical or machine learning model that estimates an unknown outcome, such as a future event or a hidden attribute, from known inputs.
Prescriptive Analytics
- Definition
- Prescriptive analytics is the use of optimization, simulation, and decision rules on top of predictions to recommend or automate the specific action that best meets a business objective.
Private AI
- Definition
- Private AI is artificial intelligence that runs on infrastructure the organization controls, using models it owns or has the rights to run, so that prompts, documents, and outputs never leave its environment.
Private AI Platform
- Definition
- A private AI platform is the software layer that runs models, agents, and integrations on an organization's own infrastructure, with identity, access control, and audit logging built in.
Problem Tractability
- Definition
- Problem tractability is the judgment of whether a business problem can realistically be solved with the data, methods, and computing resources available, within the time and accuracy the business needs.
Process Mining
- Definition
- Process mining is a technique that reconstructs how a business process actually runs from the timestamped event logs recorded by ERP, CRM, ticketing, and other business systems.
Process Optimization
- Definition
- Process optimization is the systematic improvement of a business or production process so that it delivers better results, such as shorter cycle times, lower cost, fewer errors, or higher yield, within its…
Production Scheduling
- Definition
- Production scheduling is the assignment of manufacturing jobs to specific machines, lines, crews, and time slots, in a sequence that meets due dates while respecting capacity, materials, and changeover rules.
Proof of Concept (POC)
- Definition
- A proof of concept (POC) is a short, tightly scoped test that shows whether an AI approach can perform a specific task well enough on real company data to justify building it…
Recommendation System
- Definition
- A recommendation system is software that predicts which products, content, or actions a person is most likely to want and ranks them, using past behavior, item attributes, and context.
Remaining Useful Life (RUL)
- Definition
- Remaining useful life (RUL) is an estimate of how long a component or machine can keep operating before it fails or reaches a defined end-of-life limit, expressed in hours, cycles, miles, or…
Robotic Process Automation (RPA)
- Definition
- Robotic process automation (RPA) is software that automates repetitive, rule-based computer tasks by performing the clicks and keystrokes a person would make in an application's screens. It works best on stable, high-volume…
Root Cause Analysis
- Definition
- Root cause analysis is a structured method for finding the underlying reason a problem occurred, so that the fix prevents it from happening again instead of treating only the symptom.
Scenario Planning (What-If Analysis)
- Definition
- Scenario planning, also called what-if analysis, is the practice of testing how plans and results change under different assumptions, from one altered input in a model to several complete versions of the…
Scheduling (AI)
- Definition
- Scheduling in AI is the assignment of tasks to resources and time slots under constraints such as capacity, deadlines, and sequence rules, using search and optimization methods to find feasible, high-quality schedules…
Semantic Layer
- Definition
- A semantic layer is a business-friendly model placed between raw data tables and the tools that query them, defining metrics, dimensions, and relationships once so every report and AI assistant uses the…
Simulation
- Definition
- Simulation is the use of a computer model that imitates how a real system behaves over time, so a business can test changes, compare options, and see likely outcomes before committing real…
Stochastic Optimization
- Definition
- Stochastic optimization is optimization in which some inputs, such as demand, prices, or lead times, are uncertain and modeled as probability distributions, so the chosen plan performs well across many possible outcomes.
Supply Chain Management
- Definition
- Supply chain management is the coordination of materials, products, information, and payments from suppliers through production and distribution to customers, balancing service levels, inventory, and cost.
Time Series Forecasting
- Definition
- Time series forecasting is the use of historical, time-ordered data to predict future values of a quantity, such as next month's demand for a product or tomorrow's inbound call volume.
Token-Based Pricing
- Definition
- Token-based pricing is the billing model for hosted AI services in which the customer pays for the number of tokens sent to and generated by the model, with input and output often…
Total Cost of Ownership (AI)
- Definition
- Total cost of ownership for AI is the full cost of running an AI capability over its life, including hardware or GPU time, power, people, software, model licenses, and support, rather than…
Unified Data
- Definition
- Unified data is business information from many source systems brought together under shared identifiers and definitions, so that one query, report, or AI agent can work across all of it consistently.
Use Case (AI)
- Definition
- An AI use case is a specific business task where AI does defined work, described by who uses it, what data it reads, what it produces, and how success is measured.
Use Case Prioritization
- Definition
- Use case prioritization is the process of scoring candidate AI projects on business value, feasibility, and risk, then ranking them so a company funds the few most likely to deliver first.
Video Analytics
- Definition
- Video analytics applies computer vision to live or recorded video to detect events, count objects, and measure activity, turning camera footage into alerts and operational data.
Visual Inspection (AI Quality Inspection)
- Definition
- AI visual inspection uses cameras and trained vision models to check products for defects, missing components, and assembly errors during production, replacing or assisting manual inspection.
Workflow Automation
- Definition
- Workflow automation is the use of software to move tasks, documents, and data through a defined sequence of steps, using rules and triggers so each step starts without someone passing the work…
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