Remove IT Remove Measurement Remove Uncertainty
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Measuring Models' Uncertainty: Conformal Prediction

Dataiku

For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.

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South Korea’s political unrest threatens the stability of global tech supply chains

CIO Business Intelligence

The reversal calmed immediate fears of an extended crisis, but the political instability sent ripples through financial markets and heightened uncertainty for South Korea’s role as a global technology hub. The stalemate is far from over, with uncertainty prevailing amid growing calls for the president’s impeachment.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real. The truth is, we’re in the earliest days of understanding how to build robust LLM applications.

Testing 168
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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. An operationalized carbon-neutral strategy requires end-to-end visibility on climate data.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. 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). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives.

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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line.

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

Rocket-Powered Data Science

Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). Source: [link] Every business wants to get on board with ChatGPT, to implement it, operationalize it, and capitalize on it. It is important to realize that the usual “hype cycle” rules prevail in such cases as this.

Strategy 290