You can with AI. Data readiness: The backbone of AI success
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Jul 22, 2025 Danielle Beringer, Principal at KPMG, specializes in data modernization and AI strategy. She reveals the vital role of data readiness in successful AI adoption, sharing strategies for effective data governance and management. Using a grocery store analogy, Danielle illustrates the necessity of high-quality data for AI applications. She discusses generative AI’s transformative potential and the evolving attitudes of executives towards it, emphasizing the importance of collaboration between business and IT for successful data integration.
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From CDO To Data Modernization Lead
- Danielle describes her background as a former chief data officer at Nissan and current KPMG partner focused on data modernization.
- Her experience spans software engineering, data engineering, and enterprise AI strategy.
Data Is The Prerequisite Not An Afterthought
- High-quality data with clear provenance and utility is a prerequisite for effective AI and Gen AI.
- Data must be understood and explainable to enable teams to achieve reliable outcomes.
Ground Gen AI In Corporate Data
- Grounding Gen AI in an organization's own corpus (RAG) makes outputs familiar and actionable for employees.
- Social metadata and curated corpora let nontechnical users query enterprise data without SQL.