India, Oct. 31 -- Enterprises continue to invest in data analytics and artificial intelligence (AI), but many struggle to translate these investments into measurable business outcomes. Fragmented data environments, weak governance, organisational silos and limited adoption often prevent businesses from moving beyond dashboards and pilot projects. At the same time, AI is changing how Assurance teams assess risks, examine evidence and support critical decisions, while raising questions about human oversight and accountability.

Raghunandan Pulijala, Assurance Digital Leader, EY Global Delivery Services India LLP, discusses the challenges of translating analytics into business value, the role of AI in Assurance, the capabilities global capab...