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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. The new libraries include: IBM Watson Natural Language Processing Library for Embed. The new libraries include: IBM Watson Natural Language Processing Library for Embed.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. AI using machine learning (ML) involves processing samples of data to learn. Then using what was learnt learning to run data analytics on vast amounts of content from many sources. Data Analytics.

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A brief history of data and how it helped change the world

Collibra

Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools. King Ptolemy I Soter set about creating the largest collection of data (then) known to man, an institution known as the Library of Alexandria. .

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