And these can serve numerous goals and use cases across business processes, industries and applications if wisely used.īig data results from ongoing digitalization and, at the same time, drives digital innovation – and thus the creation of more data. We are confronted with rapidly growing volumes of data and a wide variety of data types (structured data, unstructured data, semi-structured data, streaming data, etc.). Solving the Big Data challenge with artificial intelligence.Unstructured data: adding meaning and value.Big data analytics: making smart decisions and predictions.Fast data: speed and agility for responsiveness.Smart data: beyond the volume and towards the reality.More about Big Data and its evolutions and applications.Moving to high-value data and use cases.The information opportunity of big data analytics.The 3 Vs, 4 Vs, 5 Vs and more Vs of big data.Focus on the V of Volume – the datasphere.What is big data? Definitions and some history.
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