Remove Measurement Remove Modeling Remove Risk Management Remove White Paper
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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. Download the complete white paper now. Or, read on for a brief summary.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Data Literacy for Responsible AI: Governance and Accountability

DataRobot

Throughout history, introducing innovations in fields like aviation and nuclear power to society required robust risk management frameworks. AI is no different, and by its nature, it demands a comprehensive approach to governance utilizing risk management. White Paper. Data Literacy for Responsible AI.

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Minding Your Models

DataRobot Blog

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework.

Modeling 105
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for There are models everywhere. In other words, #adulting.

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Data-driven competitive advantage in the financial services industry

Cloudera

Besides identifying key event patterns and escalating crucial alerts based on predictive insights and actionable intelligence, real time analytics and stream processing fortifies risk management by enabling preventive measures before an incident results in damage. . The need for speed.