Domino Data Lab

AUGUST 6, 2021

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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

APRIL 30, 2021

In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business models – or re-evaluate their business processes – shifting the focus of enterprise architects. The top priority became mobility through a cloud-first strategy.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

Domino Data Lab

APRIL 3, 2019

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 Those days are long gone if they ever existed. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

FEBRUARY 28, 2023

However, before we get started, we will provide an overview of the concept of risk parity. You can find a discussion on the benefits of machine learning for risk parity at the end of this article. What is risk parity? Risk parity is a portfolio management strategy that distributes risk benefits and disadvantages.

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

Cloudera

AUGUST 21, 2021

It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Better visibility of their customers assures banks that they are not exposing themselves to additional risks in the process. Addressing new customers and markets. Personalizing the customer experience.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103