Organizations have been moving from individual AI pilots to commercial applications of Deep Learning to serve a large customer base. Our typical IT systems fundamentally have a data input, tool and output while AI systems learn algorithms with training data which makes it more difficult when AI systems scale and start interacting with multiple systems. Avantika Sharma, Global Head of Customer Success Strategy and Transformation at Brillio, shares her perspective on AI scaling challenges and how the right framework can enable in operationalizing AI.

Know more : AI Paradox – From Pilots To Mainstream