Train, tune and distribute models with generative AI and machine learning capabilities
In this episode of AI Academy, Cathy Reese, Senior Partner, Data & AI Technology Transformation at IBM Consulting, explains how building an AI-ready data strategy allows organizations to strengthen their data governance framework and harness the highest-quality data for their generative AI use cases
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Thank you, Sheila, for highlighting the critical importance of a robust data strategy for AI, especially in the era of Generative AI. Cathy Reese's insights on strengthening data governance and harnessing high-quality data resonate deeply.
It's clear that the 'intelligence' of any AI model is fundamentally tied to the quality and structure of its training data. This concept creates a fascinating parallel: just as a human brain relies on rich, well-organized sensory input and experiences to learn effectively, AI models thrive on meticulously managed and governed data.
How do you foresee organizations scaling their efforts to consistently curate and maintain such high-quality data as their GenAI use cases proliferate? Are there specific IBM watsonx tools, beyond what was discussed, that offer unique advantages in this ongoing data governance challenge?