Day 1 - 5 June 2024

10:00AM

(PDT)

Ramki R

Head of Data Science - Catalyst by Zoho

Associated Talks:

10:00AM - Day 1

View Workshop: Modernize Business Solutions with No-Code ML for BFSI

11:45AM - Day 1

View Workshop: Churn Modelling Tactics: AI meets Behavioural Science

View Full Info

Workshop: Modernize Business Solutions with No-Code ML for BFSI

Unlock maximum business value quickly for your BFSI solution by harnessing the power of machine learning (ML) on a no-code ML platform.

Explore Catalyst by Zoho which lets you streamline operations, mitigate risks, and easily uncover valuable insights, ushering in a new era of efficiency in the financial services industry.

It is mandatory to bring laptops.

. Ramki R, Head of Data Science - Catalyst by Zoho,

11:00AM

Networking Break

11:45AM

(PDT)

Ramki R

Head of Data Science - Catalyst by Zoho

Associated Talks:

10:00AM - Day 1

View Workshop: Modernize Business Solutions with No-Code ML for BFSI

11:45AM - Day 1

View Workshop: Churn Modelling Tactics: AI meets Behavioural Science

View Full Info

Workshop: Churn Modelling Tactics: AI meets Behavioural Science

A comprehensive deep dive into churn modelling that offers insights into tailoring the churn definition and crafting a robust machine learning (ML) pipeline that predicts churn accurately.

Learn how to leverage a no-code ML platform to develop a model your sales team can use and take proactive measures to prevent at-risk accounts from churning.

It is mandatory to bring laptops.

. Ramki R, Head of Data Science - Catalyst by Zoho,

01:00PM

Lunch & Networking Break

02:00PM

(PDT)

Hackathon

Hackathon with exciting prizes to win.

Participant Limit: 20 teams maximum (2 per team).

03:30PM

Networking Break

04:00PM

(PDT)

Suresh Kumar Balasubramani

Engineering Manager - Catalyst QuickML

Zoho

Associated Talks:

04:00PM - Day 1

View Workshop: Best Practices for Building and Deploying a Personalized Recommendation Engine on a No-Code ML platform

View Full Info

Workshop: Best Practices for Building and Deploying a Personalized Recommendation Engine on a No-Code ML platform

Explore the intersection of recommendation engines and Machine Learning Operations (MLOps), emphasizing the benefits of integrating MLOps practices to optimize and scale recommendation systems.

The workshop introduces MLOps-as-a-solution for streamlining model deployment, automated retraining, and ensuring scalability and reliability.

We discuss the best practices and future trends with a focus on the importance of cross-functional collaboration, version control, and real-time personalization.

It is mandatory to bring laptops.

 

. Suresh Kumar Balasubramani, Engineering Manager - Catalyst QuickML, Zoho

05:00PM

End of Day