Day 3 Hall 2

– Traditional methods for CX are not suited for the digital era
– Customer Data Lake is a pre-requisite for data-driven CX
– Data Analytics journey for CX should evolve in 4 stages
– Practical use cases for application of Data Science for CX

Unleashing the power of data has great potential to drive significant business outcomes and can create real business differentiation. The journey to realizing this potential involves several important decisions to be made along the way and requires a mindset shift. The Digital Leader plays a critical role in facilitating this transformation and orchestrating the journey.
This session attempts to provide a point of view on the role of the digital leader and highlight some of the critical aspects around a wholistic approach assimilated through personal experiences.

FMCG sales has always been about scale. For a company like ITC, the sales & distribution network covers the Indian retail landscape at a speed of 10 stores per second, as the salesmen cover 4 times the earth’s circumference very day! While building personalized recommendations is a mature machine learning process, how do the models work around the most crucial human in the loop – the salesman?

“Metaverse is an emerging paradigm from both technical and business perspectives. 3D Modeling plays a key part in the metaverse experience. Recently, Computer Vision and Deep Learning Techniques are being employed in order to meet the challenges of scale, quality and superlative customer experience.
In this talk, I will cover the variety of problems that can be addressed by Computer Vision and Deep Learning including personalization, animation, speech personalization and content generation. Specific emphasis would be placed on topics such as 3D Avatar personalization, Full body animation, lip-sync from audio and video and content generation in 3D contexts. AI models including Generative Adversarial Networks, Vision Transformers, Zero-Shot speech personalization and mult-modal transformers would be covered along with corresponding applications.”

how analytics enables entire branch banking space n engaging with right client and garnering max deposits with use of models

“* what is product analytics ?
* how analytics and data is used to drive product decisions ?
* How are hypotheses created ?
* what is north star matrix ?
* what are tools and techniques for product analytics ?”

Jupiter.co is a social commerce food company based in San Francisco, California. Jupiter helps food creators from TikTok & Instagram launch their own grocery powered recipe shops to sell directly to their followers nationally. Aarshay is a founding team member at Jupiter, leading all personalization efforts from the get go. In this talk, he will be sharing his experiences in deploying data/ML pipelines from a blank slate in the context of early stage startups. He will be discussing various applications of data/ML at Jupiter, along with the learnings and nuances which were unravelled along the path from a blank github repo to a monorepo which powers both data pipelines and serving infrastructure.