Remove Measurement Remove Publishing Remove Uncertainty
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth? Today, we have dozens of organizations that publish AI principles, but they provide little detailed guidance.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

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Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. Stock implied volatility Implied volatility (IV) is a measure of the market’s expectation of how much a stock’s price is likely to fluctuate in the future.

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How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios. In the face of uncertainty, investor relations are paramount.

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Humans and AI: How Should You Talk About AI? Be Positive or Give Warnings?

DataRobot

AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. Recently published research addressed the question of “ When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. People are unsure about AI because it’s new. AI you can trust.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Systems should be designed with bias, causality and uncertainty in mind.

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EU AI Act: Sensible guardrail or innovation killer?

CIO Business Intelligence

The text of the EU AI Act was published in the Official Journal of the EU on July 12, 2024, and the set of rules around the development and use of AI tools officially entered force at the beginning of August. The measures take effect in stages: Affected companies have to follow the first rules in just six months.

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