Your AI is only as powerful as the data it consumes. Before you build a model, you need a pipeline. This session moves beyond theory into the mechanics of data acquisition and engineering.
What We Will Cover:
- Sourcing Strategies: Where to find high-value data sets (internal vs. external).
- The Cleaning Process: Automated workflows to scrub and standardize data for LQMs.
- Compliance & Ethics: Navigating data privacy in an AI world.
Who Should Attend: Data Analysts, Operations Managers, and Technical Leads.
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