Remove Risk Remove Risk Management Remove Structured Data
article thumbnail

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

Analytics Vidhya

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

article thumbnail

ISO 20022: Are your payment systems ready?

IBM Big Data Hub

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. ISO 20022 drives improved analytics and new revenue opportunities ISO 20022 enables more sophisticated payment analytics by providing a richer data set for analysis.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Commercial Lines Insurance- the End of the Line for All Data

Cloudera

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

article thumbnail

What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

article thumbnail

Very Meta … Unlocking Data’s Potential with Metadata Management Solutions

erwin

It is the only solution that can automatically harvest, transform and feed metadata from operational processes, business applications and data models into a central data catalog and then made accessible and understandable within the context of role-based views. Standardize data management processes through a metadata-driven approach.

Metadata 104
article thumbnail

Serving the Public Through Data

Cloudera

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

article thumbnail

The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

The answers to these foundational questions help you uncover opportunities and detect risks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Why do risk and opportunity events matter?