Data Processing Data Quality Document Risk Management 
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. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.
datapine
FEBRUARY 22, 2022
Improved risk management: Another great benefit from implementing a strategy for BI is risk management. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. Clean data in, clean analytics out.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Cloudera
SEPTEMBER 7, 2023
The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.
DataRobot Blog
DECEMBER 20, 2022
This usually involved gathering market and property information, socio-economic data about a city on a zip code level and information regarding access to amenities (e.g., You can understand the data and model’s behavior at any time. parks and restaurants), and transportation networks. Rapid Modeling with DataRobot AutoML.
Expert insights. Personalized for you.
109 
Let's personalize your content