Free reading:
Follow these 5 steps for AI-ready data
AI operates on data, but not every data set yields meaningful outcomes. For AI to provide significant business value, the underlying data must be of high quality: contextual, well-governed, and tailored to specific use cases.
Download it now to discover:
- Data quality and AI readiness are not the same thing.
- What does “AI-ready data” really mean, and what does it require?
- There are detailed instructions for each of the five steps of the data preparation process.
- You’ll also learn about the basics of assessing data, the different types of data sources, and the challenges of using each.
Additionally, you will find valuable insights about the foundational steps in data assessment. Including the types of data sources to consider, and the challenges associated with each.
