There is no AI without data, and the modern data environment is highly distributed, diverse, and dynamic —a condition described as the three Ds —making data difficult to find, understand, and trust.
This case study published by Stewart Bond of IDC discusses the importance of data lineage in building trust in data and AI outcomes, especially in today's complex, distributed data environments & emphasizes the need for better data intelligence and lineage tracking to overcome issues such as data silos, diversity, and dynamics.
Modern Data Lineage Increasing Trust in Data and AI Outcomes.pdf
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Originally posted in the IRPA AI Network — Enterprise AI