Alation

JANUARY 9, 2023

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.

Risk Management 52

Risk Management Risk Management Metadata 52

Smart Data Collective

JUNE 19, 2019

The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Risk management is a crucial element of any successful organization.

Risk Management 71

Risk Management Risk Management Big Data 71

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

DataRobot

OCTOBER 5, 2021

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.

Risk Management 95

Risk Management Testing Risk Data Science 95

DataRobot Blog

JULY 22, 2022

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Reduce Risk with Systematic Model Controls. White Paper. Legacy Models. Download Now.

Modeling 105

Modeling Risk Management Testing Risk 105

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

AUGUST 21, 2021

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.

Data-driven 100

Data-driven Digital Transformation Risk Risk Management 100