Delivering value from AI and analytics investments is not only demonstrating the possibilities but also about acting on decisions from them at scale. Every category, account, and market have their own nuances that need to be considered. At the same time, developing custom solutions is very time-consuming and sub-optimal. This gets further complicated with new solutions and technologies coming up. How does one develop a solution that can scale? How should one ensure that the solution meets the needs of the end user? How do you ensure that you are keeping track of new innovations at the same time?  
 
The session will discuss the learnings from the experiences of the last three years on what has worked and what has not. The session will also shed light on the elements that go into the design of an analytics organization with a Value First mindset, through real-life examples across customer execution, marketing, and supply chain.