The Data-Driven AI Dilemma

This chapter discusses the critical need for organizations to ensure their data quality before rushing into AI adoption. It highlights the pressures faced by executives to implement AI technologies amidst market hype while emphasizing the dangers of neglecting foundational data strategies. The conversation advocates for a strategic, informed approach to data that fosters collaboration among stakeholders and drives meaningful business outcomes.