The foundational elements of AI architecture that IT leaders need to scale
Organizations are expanding AI use cases in partnership with Elastic, but must focus on foundational elements like data preparation, context engineering, governance, and human involvement to ensure reliable AI systems. These components are critical for maintaining data quality, enabling accurate context retrieval, and supporting governance and observability. As AI systems evolve, investing in these areas will be essential for sustaining reliable and efficient AI operations.
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