From the course: AI Data Strategy: Data Procurement and Storage
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Building sustainable data ecosystems
From the course: AI Data Strategy: Data Procurement and Storage
Building sustainable data ecosystems
- [Instructor] In our previous video, we talked about APIs and how they're like these direct pipelines to the data you need. While they are powerful tools, there are scenarios where a more collaborative approach is needed. This brings us to the topic of strategic data partnerships. These relationships are about creating mutual value through the exchange of data, expertise or resources. What sets these partnerships apart is their potential to offer unique insights and access to data that you simply can't get from other channels. Let's look at three real partnerships that transformed entire sectors. The Weather Company and IBM joined forces in 2015. IBM gained access to the world's largest weather dataset while the Weather Company received computing power to analyze it. This partnership now provides weather insights to industries from aviation to agriculture. Then there's the United Health Group and their collaboration with Optum Mayo Clinic and Google Cloud. In 2019, they formed a…
Contents
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Sourcing structured data for ML-driven AI products6m 50s
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Best practices for sourcing unstructured data4m 32s
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Understanding bias in traditional ML systems6m 42s
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Bias in generative AI: Challenges and mitigation strategies6m 19s
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Framework for bias mitigation in AI4m 2s
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Building intelligent systems with data protection5m 13s
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Open data platforms: Democratizing AI development5m 1s
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Leveraging APIs for AI6m 45s
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Building sustainable data ecosystems5m 3s
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