What is AI-ready data? Why is it crucial for developing enterprise AI applications?
In this informative discussion, Shane Johnson interviewed Elena Boiarskaia about her insights from the 2025 Gartner Data & Analytics Summit in Orlando. They addressed the misconceptions around AI-ready data and emphasized the need for clarity in its definition.
The conversation touches on several use cases, and the importance of having appropriate data sets to train AI models effectively. Additionally, they explore the significance of evaluation metrics in determining the success of AI systems.
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Timestamps:
00:00 Introduction
01:00 Speaker Background
02:02 Gartner Conference Overview
04:32 Discussion on AI-Ready Data
11:15 Challenges in AI Implementation
13:52 Evaluation Metrics
15:33 Importance of Context in AI
19:00 Use Cases and Performance
26:10 Closing Thoughts
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