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Why you should care about debugging machine learning models

O'Reilly on Data

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. 4] Fairwashing: The Risk of Rationalization , How Can We Fool LIME and SHAP?

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Protecting your digital transformation from value erosion

CIO Business Intelligence

It’s important to clearly identify what value you’re expecting to get from your partners against the price you’re paying, as well as the risk you’re taking on as a client. It’s reasonable to assume that with decades of experience in large business and IT transformations, the overall related risks would diminish.

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Elevate Your Protection Strategy at CSO’s Future of Cybersecurity Summit

CIO Business Intelligence

Pick up strategies for a creating a world-class cybersecurity center during an interactive workshop with Kathryn Knerler, MITRE Labs department manager and senior principal cybersecurity architect, and Ingrid Parker, manager of intelligence at Red Canary. Sometimes the threats are close to home.

Strategy 124
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5 best practices to successfully implement gen AI

CIO Business Intelligence

Even if you’re well into implementation on several use cases, an innovation workshop can be a great way to get end users to brainstorm and prioritize use cases. For AI and other areas, a corporate use policy can help educate users to potential risk areas, and hence manage risk, while still encouraging innovation.

ROI 124
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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns. Insufficient resource allocation for ESG data initiatives Managing sustainability data requires robust governance, analytics capabilities and cross-functional collaboration.

IT 59
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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. With all this information in hand, you can think about training opportunities such as workshops, seminars, and others. Identify key performance indicators (KPIs). Pursue a phased approach.

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Creating value with generative AI in manufacturing

CIO Business Intelligence

Microsoft Copilot can bring to bear a range of capabilities to help manufacturers mitigate risk, manage their inventory, improve planning, and make informed decisions quickly across the entire supply chain. Visit: [link] Avanade is attending Hanover Messe 2024.