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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. However, these systems lack genuine understanding and can’t adapt to situations outside their training. Regardless, these are examples of narrow AI.

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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. This blog outlines some BPR examples that benefit from a BPM methodology.

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On Chinese "Spy Trains"

Schneier on Security

Congress is considering legislation that would prevent the world's largest train maker, the Chinese-owned CRRC Corporation, from competing on new contracts in the United States. Even so, these examples illustrate an important point: there's no escaping the technology of inevitable surveillance. This is a complicated topic.

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5 ways to detect a phishing email – with examples

IT Governance

In this blog, we use real-life examples to demonstrate five clues to help you spot phishing scams. For example, emails from Google will read ‘@google.com’. Take this example of a scam mimicking PayPal: Image: WeLiveSecurity. Take this example of a scam imitating Windows: Image: KnowBe4. Not even Google.

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Generative AI use cases for the enterprise

IBM Big Data Hub

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Imagine training a generative AI model on a dataset of only romance novels. Automate tedious, repetitive tasks.

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

Jump ahead to: Prioritize Data Protection Document Your Response Process Make Users Part of the Process Understand Business Context Be Thorough Proactively Collect and Organize Data Don’t Forget Network Analysis Train and Drill Enlist Outside Help Go on the Offensive 1. See the Top Cybersecurity Employee Training Programs 4.