-
Intellectual property
Original work like writing, art or design, protected by law.
-
Interoperability
The ability of systems or applications to share and use data effectively, regardless of their origins.
-
Network
A group of connected computers that share information. For example, an office network that allows all employees to access the same files.
-
Neural Networks
Algorithms inspired by the structure of the brain. Neural networks are used to find patterns and learn from data and can improve performance without being instructed.
-
Observability
The ability to understand what’s happening inside a system by looking at data like logs, metrics and traces. It helps to find and fix the root causes of technical problems.
-
Large Language Model (LLM)
A type of machine learning model used for natural language processing tasks, like text generation or analysis. It’s trained on vast amounts of text data to understand and produce human-like language.
-
Latency
A delay in transferring data, usually due to network limitations or issues.
-
Load balancing
The process of distributing work across multiple servers to prevent overloading any single one. This helps websites and applications be fast and reliable.
-
Low-code/no-code
Tools and platforms that let people build applications with minimal or no coding skills. They use visual elements, like drag-and-drop features, to simplify development.
-
Machine learning
Systems that learn from data and get better over time by adjusting how they work. These models are common in artificial intelligence (AI) to improve performance.