AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
AI Today Podcast: AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid
Aug 18, 2023
Kathleen Walch and Ron Schmelzer discuss the definitions of data, dataset, big data, and the DIKUW Pyramid, and how these concepts relate to AI. They emphasize the importance of analyzing data to gain insights and the challenges of big data. They also explain the progression from basic data to wisdom in the DIKUW Pyramid, and the importance of putting data into practice using the CPMAI methodology.
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Quick takeaways
- Analyzing data is necessary to gain insights and meaningful information for AI and machine learning systems.
- The DIKUW pyramid highlights the importance of moving beyond basic data towards gaining deeper understanding and valuable insights in AI.
Deep dives
The Importance of Data and Data Analysis in AI
Data is essential for AI and machine learning systems to function. While data on its own does not provide meaning, analyzing it is necessary to gain insights and meaningful information. A data set is a collection of data with common attributes or context. Despite the basic nature of these concepts, understanding the distinctions is crucial to avoid confusion. Additionally, big data refers to data sets of significant size, complexity, and variable formats. However, big data is not solely defined by size, but also by the challenges it presents in terms of storage, processing, and analysis.
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