Predictive analytics uses a large and highly varied arsenal of techniques to help organizations forecast outcomes, techniques that continue to develop with the widening adoption of big data analytics. Predictive analytics examples include technologies like neural networking, machine learning, text analysis, and deep learning and artificial intelligence.
Today’s trends in predictive analytics mirror established Big Data trends. Indeed, there is little true difference between Big Data Analytics Tools and the software tools used in predictive analytics. In short, predictive analytics technologies are closely related (if not identical with) Big Data technologies. With varying degrees of success, predictive analytics techniques are being to assess a person’s credit worthiness, revamp marketing campaigns, predict the contents of text documents, forecast weather, and develop safe self-driving cars.
Author: Jacqueline Emigh
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