AI Workflow: Business Priorities and Data Ingestion

Description

In this course, you will :

1. Know the advantages of carrying out data science using a structured process

2. Describe how the stages of design thinking correspond to the AI enterprise workflow

3. Discuss several strategies used to prioritize business opportunities

4. Explain where data science and data engineering have the most overlap in the AI workflow

5. Explain the purpose of testing in data ingestion

6. Describe the use case for sparse matrices as a target destination for data ingestion

7. Know the initial steps that can be taken towards automation of data ingestion pipelines 

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