Remove Management Remove Measurement Remove Risk
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UK launches platform to help businesses manage AI risks, build trust

CIO Business Intelligence

The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. Meanwhile, the measures could also introduce fresh challenges for businesses, particularly SMEs.

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Managing risk in machine learning

O'Reilly on Data

Model lifecycle management. Fortunately, a recent survey paper from Stanford— A Critical Review of Fair Machine Learning —simplifies these criteria and groups them into the following types of measures: Anti-classification means the omission of protected attributes and their proxies from the model or classifier. Data Platforms.

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Beyond “Prompt and Pray”

O'Reilly on Data

Security Letting LLMs make runtime decisions about business logic creates unnecessary risk. But the truth is that structured automation simplifies edge-case management by making LLM improvisation safe and measurable. Heres how it works: Low-risk or rare tasks can be handled flexibly by LLMs in the short term.

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Practical Skills for The AI Product Manager

O'Reilly on Data

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. When building your ERM program foundation, you need to answer questions like: Do we have robust board and management support? Register today! July 20th, 2023 at 9:30am PDT, 12:30pm EDT, 5:30pm BST

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CIOs view cost management as possible AI value killer

CIO Business Intelligence

Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. Gartner’s prediction that CIOs can underestimate AI costs by 1,000% should be a wake-up call to CIOs to figure out how to measure and prioritize the AI projects that can provide value , Miller says.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.