BCBS 239 makes ad-hoc risk reporting a data architecture issue
Supervisory expectations around risk data aggregation increasingly point towards semantic control, lineage and direct data quality measurement on new data flows.
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Perspectives on knowledge, control and executable change
We share focused perspectives on data governance, regulatory change, semantic knowledge and controlled AI adoption.
Our emphasis is practical: connecting emerging priorities with the operating models, information and controls required to deliver sustainable results.
In-depth insights
Analyses and executive briefings.
GenAI in operations requires a different operating model
GenAI can improve efficiency and quality, but known and structured routines should not be pushed blindly into token-heavy probabilistic workflows.
Read full text →Operational efficiency starts with better data understanding
Sustainable efficiency comes from understanding data, definitions, quality and materiality, not only from optimising individual systems or processes.
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