Annotation Format
- Definition
- An annotation format is the file structure used to store image labels, such as boxes, masks, and classes, and to link each label to its image, typically in JSON, XML, or CSV.
Showing 20 of 89 terms
Application Programming Interface (API)
- Definition
- An application programming interface (API) is a defined set of requests and responses that lets one program use another's functions or data without access to its internal code.
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.
Canonical Schema
- Definition
- A canonical schema is one agreed, system-neutral definition of a business entity, such as a customer, order, or invoice, that every connected system's data is translated into before it is shared or…
Canonical Transform
- Definition
- A canonical transform is the mapping logic that converts data from one source system's native format into a canonical schema, or from the canonical schema back into a target system's format.
Change Data Capture (CDC)
- Definition
- Change data capture (CDC) is a technique that detects inserts, updates, and deletes in a source database as they happen and forwards only those changes to downstream systems.
Correlation
- Definition
- Correlation is a statistical measure of how closely two variables move together, usually expressed as a coefficient between minus one and plus one. It shows association but does not show that one…
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
- Definition
- Data is recorded facts, measurements, and events, stored so that people and software can use them. In a business it includes orders, invoices, sensor readings, documents, and system logs.
Data Catalog
- Definition
- A data catalog is a searchable inventory of an organization's data assets that records what each dataset contains, where it lives, who owns it, how fresh it is, and whether it can…
Data Classification
- Definition
- Data classification is the process of labeling data by sensitivity, such as public, internal, confidential, or restricted, so that handling rules and access controls can be applied consistently.
Data Cleansing
- Definition
- Data cleansing is the process of finding and correcting errors, duplicates, inconsistencies, and gaps in a dataset so that reports, systems, and AI models work from accurate records.
Data Contract
- Definition
- A data contract is a formal agreement between the team that produces a dataset and the teams that consume it, specifying the schema, meaning, quality rules, and freshness the producer commits to.
Data Dictionary
- Definition
- A data dictionary is a reference document or catalog that lists each data element in a system, with its name, definition, type, allowed values, source, and owner, so people interpret data consistently.
Data Drift
- Definition
- Data drift is a change in the makeup of the data a model receives in production, such as shifted averages or new categories, compared with the data it was trained on.
Data Engineer and Data Architect
- Definition
- A data architect designs how an organization's data is structured, stored, and connected, and a data engineer builds and runs the pipelines that move it. An AI program needs both roles.
Data Fabric
- Definition
- A data fabric is an architecture that connects data across many systems and locations through a shared layer of metadata, integration, and access control, without first moving it into one store.
Data Format
- Definition
- A data format is the agreed arrangement of characters or bytes that tells software how to read a file or message. CSV, JSON, XML, Parquet, PDF, and EDI are common formats in…
Data Governance
- Definition
- Data governance is the set of roles, policies, and processes that decides who owns each kind of data, who may use it and how, and how its quality and security are maintained.
Data Granularity
- Definition
- Data granularity is the level of detail at which data is recorded or summarized, from individual transactions and sensor readings up to daily, monthly, or regional totals.
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 Image
- Definition
- A data image is a unified, continuously updated representation of an organization's data, assembled from many source systems into one consistent model that reports, machine learning models, and AI agents can read.
Data Integration Architecture
- Definition
- Data integration architecture is the overall design for how data moves between an organization's systems, covering which systems are sources, which consume data, what patterns carry it, and where it is transformed…
Data Integration Design
- Definition
- Data integration design is the detailed specification for a particular data flow between systems, stating what data moves, how fields map and transform, when it runs, and how failures are handled.
Data Lake
- Definition
- A data lake is a central store that holds raw data of any type, from database tables to log files and documents, in its original form until someone needs to analyze it.
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 Lineage
- Definition
- Data lineage is the documented path data takes from its original source through every transformation, system, and calculation to the report, dashboard, or AI model that uses it.
Data Loss Prevention (DLP)
- Definition
- Data loss prevention (DLP) is a set of tools and policies that detect sensitive data in motion or at rest and block or flag attempts to move it outside approved boundaries.
Data Mesh
- Definition
- A data mesh is an organizational approach to analytics in which each business domain owns and publishes its own data as a product, under shared standards and a common platform.
Data Mining
- Definition
- Data mining is the process of discovering patterns, relationships, segments, and anomalies in large existing datasets using statistics and machine learning, usually to explain behavior rather than to serve live predictions.
Data Model
- Definition
- A data model describes the things a business keeps records about, the facts stored for each, and how those things relate, giving databases, reports, and AI tools a shared structure to follow.
Data Observability
- Definition
- Data observability is the continuous monitoring of data pipelines and tables for freshness, volume, schema changes, and anomalies, so that bad or missing data is detected before anyone acts on it.
Data Orchestration
- Definition
- Data orchestration is the coordination of the many jobs in a data pipeline, deciding when each step runs, what it depends on, and what happens when one fails.
Data Persistence
- Definition
- Data persistence is the storage of data so that it survives after the program, session, or server that created it stops, usually by writing it to a database, disk, or object storage.
Data Pipeline
- Definition
- A data pipeline is an automated sequence of steps that moves data from where it is produced to where it is used, transforming, validating, and loading it along the way.
Data Quality
- Definition
- Data quality is how well data fits its intended use in reports, transactions, and AI models, measured by whether it is accurate, complete, consistent, timely, valid, and free of duplicates.
Data Residency
- Definition
- Data residency is the requirement that specific data be stored and processed within a defined geographic location, usually to satisfy a law, regulation, or customer contract.
Data Science
- Definition
- Data science is the discipline of drawing knowledge, explanations, and predictions from data by combining statistics, programming, machine learning, and an understanding of the business domain.
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.
Data Sovereignty
- Definition
- Data sovereignty is the principle that data is subject to the laws and governance of the country where it is collected or stored, and the practice of keeping control of it accordingly.
Data Validation
- Definition
- Data validation checks data against defined rules before it is stored or used, so that incomplete, malformed, or contradictory records are stopped before they reach reports, models, or other systems.
Data Visualization
- Definition
- Data visualization is the presentation of data as charts, maps, and other graphics so that patterns, trends, and outliers can be seen at a glance and acted on by people who do…
Data Warehouse
- Definition
- A data warehouse is a database designed for reporting and analysis, holding cleaned, structured data integrated from operational systems and organized so business questions can be answered quickly and consistently.
Dataset
- Definition
- A dataset is a defined collection of records assembled for a purpose, such as training or testing a machine learning model, with a known source, scope, and structure.
Datasheets for Datasets
- Definition
- Datasheets for datasets are structured documents that record why a dataset was built, what it contains, how it was collected and labeled, and which uses it does and does not support.
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.
ETL and ELT
- Definition
- ETL and ELT are the two main patterns for moving data from source systems into an analytics platform, differing in whether the data is transformed before or after it is loaded.
Feature Engineering
- Definition
- Feature engineering is the work of turning raw data into input variables that help a machine learning model predict well, using domain knowledge to create, transform, and select the columns the model…
Feature Store
- Definition
- A feature store is a data system that defines, stores, and serves the input variables machine learning models use, so the same feature definitions feed both model training and live predictions.
Features
- Definition
- Features are the input variables a machine learning model learns from, such as an account's age or an invoice's amount. Their quality usually matters more to accuracy than the choice of algorithm.
Feedback Loop
- Definition
- A feedback loop is the path by which an AI system's results, such as user corrections or real-world outcomes, return as data that shapes its next version, whether by design or by…
Field Validation
- Definition
- Field validation checks a single value, such as a date, phone number, or account code, for the right type, format, length, and range before a system accepts it.
GraphRAG (Knowledge Graph RAG)
- Definition
- GraphRAG is a retrieval-augmented generation approach that stores entities and their relationships in a knowledge graph so that a language model can answer questions requiring connections across many documents.
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.
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.
JSON
- Definition
- JSON (JavaScript Object Notation) is a lightweight text format for exchanging data as nested key-value pairs and lists, used by most web APIs and by AI tools to pass structured results.
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.
Knowledge Base (AI)
- Definition
- An AI knowledge base is the curated collection of documents, records, and procedures that a generative AI system retrieves from when it answers questions about a specific company or domain.
Knowledge Graph
- Definition
- A knowledge graph is a database that stores facts as entities connected by named relationships, such as a supplier that provides a part used in a product, so systems can query and…
Master Data Management (MDM)
- Definition
- Master data management (MDM) is the discipline of keeping one agreed, governed record for each core business entity, such as a customer, product, supplier, or site, across every system that uses it.
Medallion Architecture
- Definition
- Medallion architecture is a layered design for a data lake or lakehouse in which data moves through bronze (raw), silver (cleaned and conformed), and gold (business-ready) tables.
Metadata
- Definition
- Metadata is data that describes other data, such as a file's author and creation date, a table's schema and owner, or a record's source and sensitivity classification.
Model-Driven Architecture
- Definition
- Model-driven architecture is a way of building software in which a formal model of the business domain, its objects, relationships, and rules, is the primary artifact, and databases, interfaces, and application code…
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…
Noise (Data)
- Definition
- Noise is random or irrelevant variation in data that carries no useful signal, such as sensor jitter, typos, and inconsistent labels, which a model can mistake for real patterns.
Normalization
- Definition
- Normalization rescales numeric features to a common range or distribution so that no single feature dominates a model because of the units it happens to be measured in.
Ontology
- Definition
- An ontology is a formal, machine-readable definition of the concepts in a domain, their properties, and the relationships between them, giving people and systems one shared vocabulary for the same things.
Personally Identifiable Information (PII)
- Definition
- Personally identifiable information (PII) is any data that can identify a specific person on its own or combined with other data, such as a name, address, account number, or biometric record.
PII Redaction
- Definition
- PII redaction is the automated removal or masking of personal identifiers from text, documents, audio, or images before the content is stored, shared, or sent to an AI model.
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.
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.
Schema
- Definition
- A schema is the formal definition of how data is structured, naming the tables or objects, the fields within them, each field's type, and the relationships and rules that connect them.
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…
Semi-Structured Data
- Definition
- Semi-structured data has organizing markers such as tags or key-value pairs but no fixed table schema, which is why formats like JSON and XML sit between databases and free text.
Single Source of Truth
- Definition
- A single source of truth is the one agreed location where a given piece of business data is maintained, so that every report, system, and person reading it gets the same value.
Software Development Kit (SDK)
- Definition
- A software development kit (SDK) is a packaged set of libraries, tools, and documentation that lets developers build on a platform or call its API from a specific programming language.
Streaming Data
- Definition
- Streaming data is data that is produced and processed continuously as a flow of individual events, such as sensor readings or transactions, rather than collected and handled in scheduled batches.
Structured Data
- Definition
- Structured data is information organized into fixed fields with defined types, such as rows and columns in a database table, so software can query, sort, and aggregate it directly.
Taxonomy
- Definition
- A taxonomy is a hierarchical classification scheme that organizes items such as products, documents, or support tickets into categories and subcategories, so that people and systems label and find them consistently.
Text-to-SQL
- Definition
- Text-to-SQL is the translation of a plain-language question into a SQL statement that a database can run, performed by a language model given the schema and business definitions.
Time Series
- Definition
- A time series is a sequence of measurements of one quantity recorded at successive points in time, such as hourly machine temperature or daily sales, where the order of the observations carries…
Training Data
- Definition
- Training data is the set of examples a machine learning model learns from during training. Its coverage, label quality, and history largely determine how the model behaves on new cases.
Type System
- Definition
- A type system in an AI platform is a catalog of formally defined object types, with attributes, relationships, and rules, that describes data, models, and services so applications are built against types…
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.
Unstructured Data
- Definition
- Unstructured data is information without a predefined data model, such as documents, emails, images, audio, and chat transcripts, which must be interpreted before software can analyze it.
Vector Database
- Definition
- A vector database is a data store built to hold embedding vectors with their metadata and to find the vectors nearest to a query quickly, which makes it the retrieval layer for…
Vector Search
- Definition
- Vector search finds the stored items whose embedding vectors are closest to a query vector, which returns results by similarity of meaning instead of by matching the exact words.
Web Scraping
- Definition
- Web scraping is the automated extraction of data from websites by software, and a web crawler discovers pages by following links. Both feed pricing, research, and AI training data pipelines.
No terms match your search.
Try a broader keyword or another category.