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How AI Helps Prevent Human Error In Data Analytics

insideBIGDATA

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy. Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field.

Analytics 493
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What Impact Will Ethical AI Have on the Future of Data Science?

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically.

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How AI-Unified Data Analytics Is Good for Your Business

insideBIGDATA

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how data analytics relies on vast amounts of information from different sources to be effective. The same often goes for AI.

Analytics 417
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Automating Model Monitoring in MLOps: Leveraging AI to Track Performance and Detect Anomalies

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, discusses how MLOps — with its emphasis on the end-to-end life cycle of ML models — needs to prioritize automated, AI-driven model monitoring.

ML 221
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How Can AI-Powered Predictive Maintenance Boost Business Efficiency

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, shows that when AI steps into predictive maintenance, it supercharges this capability. It offers more profound insights, accurate predictions and the ability to act swiftly.

AI 221
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The Premature Obituary of Programming

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Why deep learning will not replace programming. The Premature Obituary of Programming Why deep learning will not replace programming. Home/Magazine

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Meet the Research Scientist: Shirley Ho

NYU Center for Data Science

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. She led the first effort to accelerate astrophysical simulations with deep learning.