Remove Machine Learning Remove Prescriptive Analytics Remove Structured Data Remove Visualization
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. It features support for creating and visualizing decision tree–driven customer interaction flows. Model-driven DSS.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.