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AI Project Success Hinges on Clear Data Ownership, Experts Say

By PulseAugur Editorial · [1 sources] ·

A key question for the success of any AI project is identifying who is responsible for the data it uses, according to Jacqueline DeStefano-Tangorra, president and CTO of DataOps. Many AI initiatives fail not due to technical limitations, but because of undefined data ownership, leading to compounding errors and a loss of trust in the models. Effective data governance, reframed as a crucial enabler rather than a bureaucratic hurdle, is essential for building this trust and ensuring AI projects can function effectively. AI

IMPACT Highlights the critical need for data governance and clear ownership to ensure the reliability and adoption of AI systems.

RANK_REASON Opinion piece by a named credible voice discussing AI project management.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Project Success Hinges on Clear Data Ownership, Experts Say

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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Jacqueline DeStefano-Tangorra, Forbes Councils Member ·

    The Question To Ask Before Every AI Project: Who Owns This Data?

    When ownership is undefined, every downstream decision inherits that ambiguity and quietly compounds it.​

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