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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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

ARMA International

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).