Tech glossary A–Z
Jargon, decoded. Short definitions first, the full explanation one click away.
An open standard that lets users grant an app limited access to their data on another service without sharing their password. Cybersecurity
Objectives and Key Results: a goal-setting framework pairing an ambitious objective with a few measurable results that show progress. Business & Retail Tech
Organic Light-Emitting Diode: a display technology in which each pixel produces its own light, enabling deep blacks and thin, flexible screens. Hardware & Industry 4.0
A cloud storage method that keeps data as individual objects with metadata in a flat structure, suited to large amounts of unstructured files. Cloud & DevOps
The ability to understand what is happening inside a software system by examining the data it produces, such as logs, metrics, and traces. Cloud & DevOps
AI that runs directly on a phone, laptop, or other device instead of sending data to remote cloud servers for processing. Artificial Intelligence
Software that lets customers see availability and book appointments, tables, rooms, or classes online without calling the business. Tech for Local Business
Software that lets customers place orders for pickup or delivery through a business's website or app, usually with online payment. Tech for Local Business
A system in which banks securely share customer financial data with authorized third-party apps through APIs, with the customer's consent. FinTech
Software whose source code is publicly available under a license that lets anyone use, study, modify, and share it. Software Development
An AI model whose trained parameters, or weights, are published so anyone can download, run, and adapt it, subject to its licence. Artificial Intelligence
Technology, known as OCR, that reads printed or handwritten text in images and scanned documents and turns it into editable text. Artificial Intelligence
Automated coordination and management of multiple systems, services, or tasks so they work together as a complete workflow. Cloud & DevOps
When a machine learning model learns its training data too closely, including noise, and performs poorly on new, unseen data. Artificial Intelligence