The Data Governance Podcast AI and Data Governance Interview with Vipul Parmar
Nov 19, 2024
Vipul Parmar, Global Head of Data Management at WPP, explores the intersection of AI and data governance. He shares his unexpected journey into this field and highlights a critical 2015 cyber breach that underscores the importance of data accuracy for safety. Vipul argues AI should enhance governance, discussing the necessity of high-quality training data to prevent biases. He advocates for AI as a tool for augmenting roles, not replacing them, and emphasizes the need for organizations to promote experimentation while maintaining robust guardrails.
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From Telecom Troubles To Data Governance
- Vipul Parmar entered data work by accident after fixing customer service issues in telecom using data reconciliation.
- That led him from data quality into governance through mergers, migrations and GDPR preparation.
Breach And Emergency Data Shaped Priorities
- Vipul described a 2015 cyber breach and work on Emergency Services Database as formative experiences shaping his governance focus.
- Those events taught him governance matters for privacy, security and sometimes life-or-death outcomes.
AI Is Only As Good As Its Data
- AI models learn from the data they're trained on, so poor or biased input yields poor outcomes and amplifies mistakes.
- Governance must ensure data is accurate, timely and balanced to prevent machines jumping to wrong conclusions.