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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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DynamoDB vs. Cassandra: Which Database Is a Great Fit for Your Business?

insideBIGDATA

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, believes that If you need a new database for your business, Amazon Web Services DynamoDB and Apache Cassandra are two of the most prominent options.

Database 370
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5 Reasons Why Big Data Is Essential for Successful Marketing

Smart Data Collective

Therefore, no one can ensure a successful marketing campaign without incorporating the proper applications of big data. Big data has enabled brands to target customers through geo-fencing. Instead of making traditional promotion magazines, they can create eBook online to demonstrate their product portfolio.

Big Data 119
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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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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