Data Processing Data Quality Risk Management Testing 
CIO Business Intelligence
MARCH 18, 2024
Like Gudipati and Nafde, Menon and her team are planning to use hyperscalers as a relatively low-risk option. Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform.
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. 8] Data about individuals can be decoded from ML models long after they’ve trained on that data (through what’s known as inversion or extraction attacks, for example).
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Cloudera
JULY 15, 2021
We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Pandemic “Pressure” Testing. Area such as: .
DataRobot Blog
MAY 26, 2022
To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.
IBM Big Data Hub
DECEMBER 4, 2023
Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive. Delete all unnecessary data.
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
In this article, we’ll first take a closer look at the concept of Real Estate Data Intelligence and the potential of AI to become a game changer in this niche. We’ll then empirically test this assumption based on an example of real estate asset assessment. You can understand the data and model’s behavior at any time.
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