Speaking of Data Creating an AI-Ready Organization with Fern Halper
Mar 17, 2025
Fern Halper, vice president and senior research director for advanced analytics at TDWI, discusses the essentials of creating an organization ready for AI. She delves into findings from the upcoming TDWI Best Practices Report, emphasizing the importance of strong leadership, particularly a Chief Data Officer, for AI success. The conversation explores various organizational models for analytics and the criticality of change management during AI integration. Halper also highlights cultural shifts and best practices to help organizations assess their AI readiness.
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C-Suite CDO Boosts AI Success
- Organizations with a Chief Data Officer (CDO) in the C-suite are more likely to gain value from AI efforts. - CDOs align AI initiatives with business goals ensuring measurable outcomes like revenue growth and customer satisfaction.
AI Organizational Models Varied
- Three main organizational models for AI are centralized, decentralized, and hub-and-spoke. - Larger companies use all models; smaller companies lean centralized; mid-sized prefer decentralized or hub-and-spoke.
Choose Hub-and-Spoke for Governance
- The hub-and-spoke model is ideal especially for coordinating data and AI governance across units. - Centralized oversight helps maintain data quality and ensures enterprise-wide compliance and standards.