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

IBM Big Data Hub

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

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How to choose the best AI platform

IBM Big Data Hub

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

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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. Information and data are synonyms but have different definitions. ARMA defines information as “Data that has been given value through analysis, interpretation, or compilation in a meaningful form” (ARMA 2016, p 28).

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

Collibra

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. But data collection alone wasn’t enough. By analyzing data, we began to solve problems. . Around 300 B.C.E.,

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