The Cloudcast
Slow Data, Fast Data and Adapting AI models for your business
Sep 1, 2024
Explore the rapidly evolving landscape of AI models and discover effective strategies for implementation. Delve into the concepts of 'fast data' and 'slow data' and understand how they impact business applications. Learn about Retrieval Augmented Generation and the critical decisions of building, buying, or using open-source models. The discussion emphasizes the importance of adapting AI models to meet evolving business needs and the significance of community feedback in this dynamic environment.
21:12
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Quick takeaways
- Understanding the distinction between fast data and slow data is essential for effectively managing AI model updates and relevance.
- Businesses must develop a structured framework for AI model integration that considers specific use cases and data characteristics to maintain competitiveness.
Deep dives
The Importance of AI and Cloud Innovations
AI and cloud innovations are significantly changing the landscape of technology, necessitating cloud professionals to stay informed about these developments. The episode emphasizes the rapid pace of change in AI technologies and outlines the importance of adapting business processes accordingly. To effectively manage this transformation, businesses must consider how to integrate their data into AI models, focusing on the frequency of updates and alignment with applications. The discussion highlights that the integration of new data is crucial for improving AI applications and maintaining a competitive edge in a fast-evolving industry.
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