Data Lake
A scalable enterprise repository capable of storing vast volumes of raw, unstructured, semi-structured, and structured data assets.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
A control requiring an authorised person to approve a proposed decision or action before a system executes it.
It can reduce manual work and cycle time while improving consistency, but it also concentrates operational risk if controls are weak.
A cross-functional team applies Human Approval in a production initiative, defines ownership and success criteria, tests representative scenarios, monitors outcomes and records corrective actions before scaling.
Automating a poorly designed process can scale errors. Exceptions, changing systems and unclear accountability require ongoing maintenance and human intervention.
A control requiring an authorised person to approve a proposed decision or action before a system executes it. Implementation requires defined triggers, inputs, rules, system permissions, exception paths, human escalation, audit logs and monitoring. Reliable automation is designed for retries, idempotency and recovery rather than only the happy path.
AI Governance, Cybersecurity
NIST — Cybersecurity and automation guidance — https://www.nist.gov/; IEEE — Software and systems standards — https://standards.ieee.org/
A scalable enterprise repository capable of storing vast volumes of raw, unstructured, semi-structured, and structured data assets.
The security process of substituting sensitive data values with non-sensitive surrogate tokens to minimize breach liability.
An AI architectural pattern supplementing language models with factual external knowledge retrieval for accurate generation.
The discipline of analyzing customer interactions and sales telemetry to guide commercial forecasting and deal management.
The unauthorized, illicit retrieval, copy, or transmission of sensitive enterprise information from a secure corporate environment.