O'Reilly on Data

MAY 18, 2020

Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy. Data sensitivity also tends to be a helpful measure for the materiality of any incident. How Material Is the Threat?

Risk 359

Risk Modeling Data Processing Software 359

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. Entities will also be expected to put appropriate cybersecurity protection measures in place.

Cost-Benefit 79

Cost-Benefit Testing Strategy Risk Management 79

CIO Business Intelligence

MARCH 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We Still, he urges companies to look beyond measurements of coding speed. We did side-by-side testing,” he says. What if writing code wasn’t the real issue?”

IT 128

IT Consulting Testing Cost-Benefit 128

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. That’s where model debugging comes in. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

DataRobot Blog

JUNE 27, 2022

A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model.

Risk 59

Risk Modeling Metrics Measurement 59

bridgei2i

APRIL 23, 2020

How much will the bank’s bottom line be impacted depends on a host of unknowns. The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Even onboarding has gone digital.

Risk 52

Risk Management Scorecard Forecasting 52