Remove Data Collection Remove Measurement Remove Risk
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Managing risk in machine learning

O'Reilly on Data

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. Continue reading Managing risk in machine learning.

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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Demographics. This includes: Age. Occupation.

Insurance 137
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock?

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data.

Risk 126
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Mobile Data Collection: What it is and what it can do

FineReport

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

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Rethinking informed consent

O'Reilly on Data

Almost everyone who reads this article has consented to some kind of medical procedure; did any of us have a real understanding of what the procedure was and what the risks were? The problems with consent to data collection are much deeper. The problems with consent to data collection are much deeper.

Insurance 242
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What you need to know about product management for AI

O'Reilly on Data

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. If you can’t walk, you’re unlikely to run.