In conversation with Bhargab Dutta, Chief Digital Officer, Century Plyboards

The point is, how can we create an ancillary ecosystem based on Generative AI capabilities? So that is where the crux for people like me will be because I am not going to focus on creating a chat GPT backend engine. My focus would be on how I can use them for my business needs, right? How can I improve my product description based on an understanding of Google Search parameters, to help improve my organic search ranking, and hence improve my Marketing RoI – Excerpt from the interview with Bhargab Dutta   Today is Episode 20 of the Interview series on Expert-Talks, with Thought Leaders in the Analytics, AI and Transformation space.  For this episode, our CEO Mahadevann Iyerr (Mahaa) is in conversation with Bhargab Dutta, Chief Digital Officer at Century Plybvoards.  Before Century Plyboards, Bhargab was Director of Digital & Analytics CoE at Colgate Palmolive India Ltd. He has also held leadership roles in Digital & Analytics at Aditya Birla Group, General Mills and Honeywell. He is recognised as among the Top 10 Chief Digital Officers in India by CEO Insights Magazine and Top 100 AI leaders by 3AI.   We are listing below a few key points from the interview :   Bhargab emphasizes the importance of data-driven decision-making, incremental growth, and cost-saving opportunities for organizations. Domain expertise plays a crucial role in articulating solutions and identifying the right data points. Analytics leaders should tailor their analytics journey & approach based on an organization's technology & Data maturity. Situational awareness is key in analytics and transformation journeys, allowing for immediate course correction and redefining solutions. New technologies, such as neurovision-based analytics , geospatial analytics and AI, are gaining ground in understanding end consumers and their buying patterns in the FMCG industry. Advice for Aspiring Data Scientists and Digital Professionals- Invest at least 5 years in one domain for depth of industry exposure. Focus on basics, especially statistics, before pursuing advanced topics like machine learning. Emphasize defining the problem statement before jumping into solution mode.    You can watch/listen to the interview on our Website, YouTube, Apple, Amazon Music and Spotify podcasts on the links given in the comments section below.  Please do share your comments and subscribe/follow us on @maavrus on LinkedIn, Facebook and Twitter.

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