Data governance and data lineage: quality for AI
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
INSIGHTS & PRACTICE
Export operations in practice: contracts, shipment documents, shared data, logistics and responsible AI.
15 publications
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure enterprise system stability.
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds invisible to management.
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.
An analysis of architectural approaches to business process automation. Comparing Scriptum, Camunda, Bonita, and UiPath to eliminate shadow processes and enable flexible modeling.
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and business rules. Learn how to avoid hardcoded logic and identify shadow routes.
Successful migration to modern intelligent ECM systems requires mandatory design of fallback rules in workflows and the creation of a high-quality training corpus for IDP models.
How to build a corporate ECM architecture that combines flexible approval workflows with ISO 15489-1 requirements and long-term legal validity of electronic signatures.
How to distinguish simple digitalization from a real need for ECM? An honest filter based on ISO and NIST standards for CIOs, COOs, and legal departments.
A clear distinction between the architectural differences of ECM, DMS, and EDM according to ISO standards and legislation to prevent errors in IT system design.
Why replacing a full ECM system with simple file storage creates critical legal risks when integrating with government services, and how to build a resilient corporate document management architecture.