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Automating Model Risk Compliance: Model Validation

DataRobot Blog

What are some steps that the modeler/validator must take to evaluate the model and ensure that it is a strong fit for its design objectives? Evaluating ML models for their conceptual soundness requires the validator to assess the quality of the model design and ensure it is fit for its business objective.

Risk 52
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7 IT governance mistakes — and how to avoid them

CIO Business Intelligence

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116
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How to build a successful procurement strategy

IBM Big Data Hub

By assessing and proactively managing risks inherent in the supply chain , organizations can shield themselves from disruptions and strengthen the resilience of their operations. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Business leaders get scared and say, ‘Tell me the plan so I can sleep at night,’” said Ronica Roth, co-founder and principal of The Welcome Elephant. Agile has to work within the context of the organization, whether it’s the process of financial reporting, estimation, or forecasting,” said Phil Heijkoop, general manager of Aligned Agility.

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Top 10 Elements for Developing a Strong Information Security Program

CDW Research Hub

Today’s digital risk and compliance profile requires developing an information security program based on a well-structured plan that includes people, processes and technologies, and focuses on the protection of information and information assets. Develop a security risk management program.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends. This resulted in increased profitability and strengthened competitive positioning within the industry.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

EAM systems can provide around-the-clock visibility into inventory levels, allowing businesses to track part usage, automate reordering processes, prevent stockouts and overstocking, reduce carrying costs and ultimately ensure that parts are available when teams need them. It can also significantly increase uptime and lifespan.