Data AugmentationData Augmentation is a strategy used in Machine Learning to artificially increase the diversity and size of a training dataset without collecting new data. It works by taking existing data points (like an image or a sentence) and applying random transformations such as flipping, rotating, adding noise, or swapping synonyms to create "new" versions of the same data. Read More
ExtractionExtraction is the automated process of identifying and retrieving specific data points from unstructured or semi-structured sources such as PDFs, emails, handwritten forms, or websites—and converting them into a structured format (like a database or spreadsheet). Read More
Data Privacy in AIData Privacy in AI refers to the techniques and governance frameworks used to protect sensitive information (PII, PHI, Trade Secrets) throughout the lifecycle of an artificial intelligence system from training data collection to model deployment Read More
Decision IntelligenceDecision Intelligence (DI) is a discipline that combines data science, social science, and managerial science to model, align, execute, and monitor decision-making processes. It uses AI not just to show you data, but to recommend specific actions and predict their outcomes Read More
Deep LearningDeep Learning (DL) is a specialized subset of Machine Learning inspired by the structure of the human brain. It uses multi-layered artificial neural networks to solve complex problems by progressively extracting higher-level features from raw input.
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Deterministic GuardrailsDeterministic Guardrails are security controls for Artificial Intelligence that rely on explicit, hard-coded rules to validate inputs and outputs. Unlike "Probabilistic Guardrails" (which ask an LLM to "please check if this is safe"), deterministic guardrails do not use AI to judge AI. They use code. Read More
Deterministic ModelA Deterministic Model is a mathematical or computational system where the outcome is precisely determined through known relationships among states and events, without any room for random variation. In this model, if you start with the exact same initial conditions and inputs, you will always get the exact same result, 100% of the time. Read More
Digital EmployeeA Digital Employee (sometimes called a Digital Worker) is a sophisticated software bot powered by Artificial Intelligence that is designed to perform a specific job function, much like a human employee. Unlike a simple script that just "moves data," a Digital Employee has a persona, a role (e.g., "IT Service Desk Agent"), and a set of skills that allow it to converse, reason, and execute complex workflows. Read More
Domain-Specific AIDomain-Specific AI (also known as Vertical AI) refers to artificial intelligence models that are trained or fine-tuned exclusively on datasets from a single industry or field of knowledge, such as healthcare, legal, finance, or coding. Read More
Dynamic Workflow AutomationDynamic Workflow Automation is a technology that allows business processes to change their path in real-time based on data, context, or user behavior. Unlike traditional "Linear Automation," which follows a strict Step 1 → Step 2 → Step 3 sequence, Dynamic Workflows are non-linear. They can skip steps, loop back, request extra information, or branch into entirely new sub-processes depending on what happens during execution. Read More
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