Remove Risk Remove Testing Remove Uncertainty
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?

Testing 174
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

Should we risk loss of control of our civilization?” And they are stress testing and “ red teaming ” them to uncover vulnerabilities. But exactly how this stress testing, post processing, and hardening works—or doesn’t—is mostly invisible to regulators. Should we automate away all the jobs, including the fulfilling ones?

Metrics 359
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). Test early and often. Test and refine the chatbot. Suggestion: take a look at MACH architecture.)

Strategy 290
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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.” Not without warning signs, however.

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How to Set AI Goals

O'Reilly on Data

Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk. There’s a lot of overlap between these factors. Defining them precisely isn’t as important as the fact that you need all three.

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . Area such as: .

Risk 100
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3 ways to avoid the generative AI ROI doom loop

CIO Business Intelligence

He got there as a result of willingness to test and learn, adopting a growth mindset, and management’s conviction that “where there’s a will, there’s a way” to put genAI to good use. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.

ROI 72