CIO Business Intelligence
NOVEMBER 21, 2023
After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.
datapine
MARCH 31, 2022
On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. Visualizations are the best tools to make trends and general insights understandable. BI developer.
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datapine
FEBRUARY 22, 2022
Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Rely on interactive data visualizations. Ensure data literacy. click to enlarge**.
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. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.
DataRobot Blog
JUNE 27, 2022
Within the data drift tab of a DataRobot deployment, users are able to both quantify the amount of shift that has occurred in the distribution, as well as visualize it. Based upon the type of model deployed (classification vs. regression), there are a host of metrics we may use to quantify how accurate the prediction is. Conclusion.
CIO Business Intelligence
APRIL 12, 2022
Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.
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. Conclusion.
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