GLOSSARY

Concepts & Terminology

Explore our comprehensive directory of terminology surrounding data mobilization, AI infrastructure, and operational intelligence.

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Active Learning

A machine learning paradigm prioritizing informative data points for human labeling.

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Adam Optimizer

An adaptive learning rate optimization algorithm for training deep neural networks.

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Adversarial Machine Learning

The study of attacks on machine learning algorithms and defenses against them.

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Adversarial Training

A defense mechanism that trains models on adversarial examples to improve robustness.

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AI Alignment

The process of ensuring that an AI system's behavior aligns with human intent, safety guidelines, and corporate policies.

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Air-Gapped Environment

A secure network that is physically isolated from unsecured networks, such as the public Internet.

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Amazon Route53

Advanced enterprise implementation of Amazon Route53 for highly scalable infrastructure.

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Anomaly Detection

The identification of rare items, events, or observations which raise suspicions by differing significantly from the majority of the data.

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API Gateway

Advanced enterprise implementation of API Gateway for highly scalable infrastructure.

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API Security

The practice of protecting application programming interfaces from malicious attacks.

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API Server Config

Advanced enterprise implementation of API Server Config for highly scalable infrastructure.

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Application Load Balancer

Advanced enterprise implementation of Application Load Balancer for highly scalable infrastructure.

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Application Security Posture Management

A holistic approach to managing the security of applications throughout their lifecycle.

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Artificial General Intelligence (AGI)

The hypothetical intelligence of a machine that can understand, learn, and apply knowledge across a wide range of tasks at a human level.

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Attention Mechanism

A technique allowing models to dynamically weigh the importance of different input parts.

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Attribute-Based Access Control

A highly-technical mechanism focusing on attribute-based access control to enable resilient enterprise data mobilization.

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Augmented Analytics

A highly-technical mechanism focusing on augmented analytics to enable resilient enterprise data mobilization.

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Autoencoder

A neural network designed to learn efficient data codings in an unsupervised manner.

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Autoregressive Model

A model that predicts future values based on past sequential data.

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Autoscaling Group

Advanced enterprise implementation of Autoscaling Group for highly scalable infrastructure.

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AWS Fargate

Advanced enterprise implementation of AWS Fargate for highly scalable infrastructure.

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Backpropagation

The core algorithm for computing gradients in neural network training.

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Backpropagation Through Time

A gradient-based technique for training recurrent neural networks.

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Batch Normalization

A technique to stabilize and accelerate training by normalizing layer inputs.

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Batch Processing

The processing of previously collected data jobs in a single batch, rather than immediately as they occur.

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Beam Search

A heuristic search algorithm used to decode output sequences in models.

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Behavioral Biometrics

The analysis of user behavior to verify identity continuously.

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Bias Mitigation

The processes and techniques used to reduce or eliminate biases in AI models and algorithms.

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Bidirectional Encoder

An architecture that processes sequential data in both directions simultaneously.

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Biometric Authentication

A security process that relies on unique biological characteristics to verify identity.

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