The practice of applying statistics, machine learning, or artificial intelligence to data for the purpose of ascertaining patterns in the data and creating models that can be used to predict activity or prescribe actions.
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Businesses seek to compete effectively by pursuing analytics initiatives that rely on artificial intelligence (AI) and machine learning (ML), as well as new data sources such as Index of Things (IoT) sensors. AI/ML based applications drive business value through prediction, recommendations engines, and automation. These workloads typically require high volumes of well-processed data.
- Dave Wells in Architecting and Automating Data Pipelines: A Guide to Efficient Data Engineering for BI and Data Science
October 16, 2020 (Report)
Relevant Content
Oct 04, 2019 - In this episode, Wayne Eckerson and Alan Jacobson discuss the path companies need to follow to deliver consistent value from advanced analytics.
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