课程: AI Data Strategy: Data Procurement and Storage
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Leveraging APIs for AI
- [Instructor] In this video, I'll be talking about leveraging APIs for sourcing data for AI product development. While open data platforms offer valuable resources, many companies need more dynamic real-time data access. Think of APIs as direct pipelines to data. Instead of downloading static datasets, you get fresh information exactly when you need it. But like any business decision, choosing the right API requires careful evaluation. The market offers three main ways to access data through APIs. First, standard APIs. These are for simple, regular data requests. Think of a retail store getting daily sales figures or a news app fetching hourly headlines. Next, flexible query APIs. These let you request the exact data you need. They're useful when different users need different information, like in a financial dashboard with varying detail levels. Lastly, there are real-time APIs. These provide constant data updates and are essential when every second counts, like, for example, when…
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Sourcing structured data for ML-driven AI products6 分钟 50 秒
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Best practices for sourcing unstructured data4 分钟 32 秒
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Understanding bias in traditional ML systems6 分钟 42 秒
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Bias in generative AI: Challenges and mitigation strategies6 分钟 19 秒
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Framework for bias mitigation in AI4 分钟 2 秒
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Building intelligent systems with data protection5 分钟 13 秒
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Open data platforms: Democratizing AI development5 分钟 1 秒
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Leveraging APIs for AI6 分钟 45 秒
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Building sustainable data ecosystems5 分钟 3 秒
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