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Ariel Pohoryles
Head of product marketing for Boomi's data management offerings with over 20 years of experience in data engineering and product marketing; discussed a Boomi survey on data readiness for AI.
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Nov 9, 2025
• 52min
The AI Data Paradox: High Trust in Models, Low Trust in Data
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Ariel Pohoryles, head of product marketing at Boomi with over 20 years in data engineering, discusses a fascinating survey of 300 data leaders. He reveals the surprising paradox where 77% trust AI data yet only 50% trust their organization's overall data. Ariel emphasizes the need for stronger automation and governance in data management for effective AI production. He explores the challenges of unstructured data, advocates for automated pipelines, and predicts a convergence between data and application teams, highlighting the importance of managing AI workflows responsibly.
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