India, June 19 -- Tiger Analytics began at a time when enterprise analytics was still largely about solving focused business problems. Clients wanted help with churn, marketing attribution, forecasting, customer acquisition, and other specific use cases. Fifteen years later, that conversation has changed dramatically.

As enterprises move from data science projects to cloud-scale data modernisation and now to artificial intelligence (AI)-first transformation, Tiger Analytics is also repositioning itself for the next phase. Pooja Agarwal, Co-founder and Head of Business Operations, Tiger Analytics, says clients are no longer looking at AI merely as a pilot, proof of concept, or chatbot. They want AI in production, embedded into workflows, ...