Hyperautomation
Gartner's term for combining RPA, AI, process mining, low-code tools and analytics to find, automate and measure business processes across an organization.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
A traceable record of where data originated, how it moved and changed, and where it is used across systems and processes.
Lineage supports impact analysis, root-cause investigation, auditability, migration, privacy requests, and confidence in reports and AI systems.
Before changing a CRM field, a team uses column-level lineage to identify affected warehouse models, dashboards, automation, and machine-learning features.
Lineage can be incomplete or stale, especially across manual exports and opaque vendor systems. It shows movement and transformation but does not by itself prove quality, lawful use, or semantic correctness.
Lineage connects sources, pipelines, transformations, schemas, datasets, reports, models, and destinations. It may be captured from code, query logs, orchestration metadata, or manual documentation and represented at system, table, column, or record level.
AI Governance
IBM — Data Lineage — https://www.ibm.com/think/topics/data-lineage; OpenLineage — An open framework for data lineage collection and analysis — https://openlineage.io/
Gartner's term for combining RPA, AI, process mining, low-code tools and analytics to find, automate and measure business processes across an organization.
A modern software design paradigm assembling modular, decoupled business capabilities through independent APIs and microservices.
Under the EU AI Act, high-risk AI systems include safety components of regulated products and Annex III uses such as hiring, credit scoring and education.
A structured content format presenting direct answers to common customer queries, supporting user needs and search indexing.
Why data gets trapped in separate tools and departments, how it leads to conflicting reports and manual work, and the usual ways to connect it.