The AI Journey That Will Define Your Data & Analytics Future

In this episode of Gartner ThinkCast, Gareth Herschel and Carlie Idoine discuss scaling data and analytics in the context of AI transformation. They address the challenges of AI implementation, including data fatigue, complexity, and trust issues, emphasizing that it is a continuous transformation, not a race. They introduce the concept of trust models to rate data based on value, lineage, and risk, and advocate for trust-based governance that balances innovation with necessary guardrails. The speakers also highlight the importance of measuring both financial and non-financial metrics to demonstrate the value of data and analytics, and stress the need for effective storytelling to bridge the gap between data insights and business understanding.