Pros
I head the team for Smart Store and Data Sciences and it is a challenge every day for me. We have problems from all the verticals - Transactions, Campaigns, Vision, Audio and we are trying to generate value for our customers every day. We have matured over time and AI is being used in personalization, recommendations, instore intelligence and insights. I have seen the team grow from a few to a big group with a lot of focus on building products aligned with Retail using AI. There is a lot of focus on automation and intelligence which is very required today. We build and use cutting edge technologies in Deep Learning (Vision/Audio), Data Sciences Algorithms to Integration with Campaigns, Ecommerce (API layer) for enabling AI in all of our product portfolio. It takes a lot of patience and perseverance to build products from algorithms and I sincerely thank the leaders for understanding that and being aligned with that. We hire a lot of interns, 6 months, and they do a fabulous job as well. There is a good amount of publishing and patenting focus in the pipeline. We have moved from no issue tracking apart from those on github to plan quarterly things and track and manage even DS/Exploratory products on JIRA with a >85% completion rate. And all this with a lot of focus on people's inputs, independence and growth. We have grown as a small startup to a slightly bigger one in the last few years and things have been incredible. We have learnt a lot along the way.
Cons
I do not see Cons as of now. Maybe we should publish and patent a bit more than we are doing today. We should market better.