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Data privacy examples

IBM Supply Chain Blog

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Getting ready for artificial general intelligence with examples

IBM Supply Chain Blog

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI.

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Leveraging user-generated social media content with text-mining examples

IBM Supply Chain Blog

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. How does text mining work? What is text mining?

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The most valuable AI use cases for business

IBM Supply Chain Blog

Assembling a version of the Mona Lisa in the style of Vincent van Gough is fun, but how often will that boost the bottom line? Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. We’re all amazed by what AI can do.

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10 everyday machine learning use cases

IBM Supply Chain Blog

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Here are some real-world applications of machine learning that have become part of our everyday lives.

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Accelerate release lifecycle with pathway to deploy: Part 2

IBM Supply Chain Blog

Given enterprise complexity, the most difficult part of this stage is the automation of testing capabilities (wherein test data preparation and execution of test cases across multiple systems is mostly semi-automated). This helps adoption and acceleration.

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2023 supply chain and logistics management trends

EazyStock

As costs increase with inflation at its highest in over 40 years, now is the time to review your current situation to understand where you can improve efficiency or reduce costs. Combining improved forecasts from the software’s algorithms with appropriate safety stock levels allows you to mitigate risks and maintain good service levels.