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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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Generative AI use cases for the enterprise

IBM Big Data Hub

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. .” Imagine training a generative AI model on a dataset of only romance novels.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

For example, higher than average traffic on a website or application for a particular period can signal a cybersecurity threat, in which case you’d want a system that could automatically trigger fraud detection alerts. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions.

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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.