article thumbnail

Model Risk Management And the Role of Explainable Models(With Python Code)

Analytics Vidhya

The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical.

article thumbnail

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. Download the complete white paper now.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM).

article thumbnail

How BI Improves Risk Management within Organisations

Sisense

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world.

article thumbnail

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.

article thumbnail

XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 373
article thumbnail

Ways in Which AI can Improve Enterprise Risk Management

bridgei2i

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model.