From the course: AI Data Strategy: Data Procurement and Storage

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The role of data strategy in AI product success

The role of data strategy in AI product success

From the course: AI Data Strategy: Data Procurement and Storage

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The role of data strategy in AI product success

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- [Instructor] Now we compare different AI approaches in the last video, but here's a fundamental truth that applies to every AI product. Your data strategy will make or break your success. I've seen brilliant AI products fail not because of poor algorithms, but because their data strategy couldn't support them beyond the pilot phase. Without a well-structured plan for data collection, storage, and evolution, even the most promising AI solutions can still struggle to scale or deliver long-term value. In this video, we'll explore how to build a robust data strategy that ensures your AI product is sustainable, scalable, and aligned with business goals. We'll cover the key elements of a strong data foundation and how to avoid common pitfalls that derail AI projects. Let's get started. A data strategy is about proactively planning for success from the very beginning. Think of it like constructing a building. You need a blueprint, a strong foundation, and the right materials to ensure…

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