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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI-Powered Predictive Maintenance AI is a powerful tool for improving aircraft safety through predictive analytics. Digital twins often use machine learning and AI to simulate the effects of operational or design changes.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. Among these, Spain, the United Kingdom, and the United States passed the highest number of AI-related bills in 2021 adopting three each. More on this topic. Download now.

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The future of QA is here, meet QA-GPT

LevelAI

Auto-QA Today Contact center auto-QA (Quality Assurance) refers to the use of automated tools and technologies to assess and evaluate the quality of interactions between contact center agents and customers. Say goodbye to black-box AI models where you’re never quite sure if the AI got it right.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

Bias and Inequality AI can also introduce societal issues like exaggerating bias if corporations aren’t careful. Amazon’s scrapped hiring AI model infamously penalized women’s resumes as the machine learning algorithm expanded on implicit biases within the training data.

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Forecast Time Series at Scale with Google BigQuery and DataRobot

DataRobot Blog

However, tedious and redundant tasks in exploratory data analysis, model development, and model deployment can stretch the time to value of your machine learning projects. We want to avoid that “black box AI” where it’s unclear why certain decisions were made. Getting forecasts right matters.