Measurement Risk Risk Management Workshop 
IBM Big Data Hub
DECEMBER 14, 2023
To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. IBM FlashSystem® has bolstered existing tasks like error detection and immutable copies with greater functionality, including error code detection, immutability sections and centralized landscape management.
O'Reilly on Data
DECEMBER 12, 2019
1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.
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CIO Business Intelligence
JUNE 12, 2023
In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. It’s also designed to give senior management more insight into how technology can align with organizational goals.
datapine
FEBRUARY 22, 2022
This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Identify key performance indicators (KPIs).
CDW Research Hub
JUNE 10, 2021
Sirius Security helps them reduce risk, streamline and improve operations, and take a forward-leaning approach with proactive prevention, detection and response that keeps pace with threats. Advancing your security posture requires effectively managing these common challenges: Shifting compliance and threat landscape. & Bake-Offs.
Cloudera
SEPTEMBER 7, 2023
But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.
Andrew White
JANUARY 11, 2021
Some data is more a risk than valuable. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Saul Judah is our main person focusing on D&A risk management.
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