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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. You can combine this data with real datasets to improve AI model training and predictive accuracy.

Privacy 88
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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

As 2023 draws to an end and cybersecurity budgeting is nearly complete, it helps to consider the year’s events and try to predict next year’s trends. For more on governance and policies, check out our article on IT security policies , including their importance and benefits, plus tips to create or improve your own policy.