From the course: AI Strategy Foundations for Data Scientists and Team Leaders
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Data and technical strategy
From the course: AI Strategy Foundations for Data Scientists and Team Leaders
Data and technical strategy
Imagine gearing up to drive only to find the tank is empty. As you solve that, you notice a tire is gone. That's building AI without data or technical strategy. To align your team with an AI strategy, you need to understand both. Data strategy is the backbone of a strong AI strategy. Business strategy defines the value of an AI strategy, but data strategy defines the potential. A data strategy for AI guides how to collect, manage, label, and use data. It frames how to use data to support AI use cases. Data is the lifeblood of AI systems. AI success hinges on data availability, accuracy, and relevance. So how do you use a data strategy to align your team? Check your data maturity level. Pinpoint gaps in your current data. Look at how it's managed, governed and used. See how the data is modeled and used across business units. An evaluation uncovers strengths to enhance and weaknesses to fix. It ensures your data, infrastructure, and company culture can support AI. Verify data usability.…
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