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How A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Or, read on for a brief summary.

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What is BCBS 239 Compliance?

Octopai

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy. We help customers overcome their data governance challenges, with risk management and regulatory compliance being primary concerns.

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A look into IBM’s AI ethics governance framework

IBM Big Data Hub

The Board recently published its point of view on foundation models addressing the risks that generative AI poses. Its toolkit automates risk management, monitors models for bias and drift, captures model metadata and facilitates collaborative, organization-wide compliance.

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Building a Data Strategy for Defence Partners

Alation

This was confirmed by the UK Ministry of Defence last September when it published its Data Strategy for Defence , which for the first time provided a clear vision and guidance for defence sector companies for gathering, collating and harnessing data. A centralised platform is therefore critical.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)