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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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Building cars in a changing world: Audi’s Integrated Approach with IBM Planning Analytics

IBM Big Data Hub

Audi, a renowned German automobile manufacturer, stands proudly as a symbol of luxury, performance and cutting-edge automotive technology. The search for a comprehensive solution for a complex process As a manufacturing organization, they faced numerous challenges in their contemporary setting.

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

ARMA International

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). Information and Content Explosion. Digital Experience Platforms (DXP).