December 8, 2021, 5:00 PM UTC

Data Points: Manufacturing, Retail & CPG Summit

Data Points: Manufacturing, Retail & CPG Summit is a virtual summit centered on Data Science, Artificial Intelligence, and Machine Learning in enterprise applications.

Join us to learn how you can get the most out of your data and hear firsthand how the world’s leading companies like Amazon, Walmart Global Tech, Anheuser-Busch InBev, and others are solving today’s key challenges in the Manufacturing, Retail, & CPG sectors.

We have a full agenda of Manufacturing, Retail & CPG talks on:

  • Optimizing recommendations for competing business objectives
  • Improving Manufacturing Quality Control Processes with AI in 2022
  • Building an MLOps Center of Excellence
  • Re-inventing CPG Product Development with AI
  • Boosting Conversions with AI
  • Transforming Backend Operations using AI & Delivering Great Value to the business

Speakers

  • Speakers face
    Rajdeep Biswas
    Director, Advanced Analytics & Machine Learning at Microsoft
    Linkedin icon Linkedin icon
  • Speakers face
    Ali Vanderveld
    Senior Staff Data Scientist at Wayfair
    Linkedin icon Linkedin icon
  • Speakers face
    Iraklis Pappas
    Associate Director, Global Analytics at Colgate-Palmolive
    Linkedin icon Linkedin icon
  • Speakers face
    Vijoe Mathew
    Global Director of Analytics at Anheuser-Busch InBev
    Linkedin icon Linkedin icon
  • Speakers face
    Pushpraj Shukla
    Partner Director of Machine Learning at Microsoft
    Linkedin icon Linkedin icon
  • Speakers face
    Vidhi Chugh
    Staff Data Scientist at Walmart Global Tech
    Linkedin icon Linkedin icon
  • Speakers face
    Jinjin Zhao
    Sr. Machine Learning Scientist at Amazon
    Linkedin icon Linkedin icon
  • Speakers face
    Raghu Dhara
    Head of Data Science at KeepTruckin
    Linkedin icon Linkedin icon
  • Speakers face
    Sanjay Mehta
    Head of Industry, eCommerce at Lucidworks
    Linkedin icon Linkedin icon
  • Speakers face
    Ilya Katsov
    VP of Technology at Grid Dynamics
    Linkedin icon Linkedin icon

Agenda

  • 5:00 – 5:10 PM UTC
    Welcome Reception
  • 5:10 – 5:40 PM UTC
    Optimizing recommendations for competing business objectives
    Ali Vanderveld, Senior Staff Data Scientist at Wayfair
  • 5:40 – 6:10 PM UTC
    Improving Manufacturing Quality Control Processes with AI in 2022
    Ilya Katsov, VP of Technology at Grid Dynamics
  • 6:10 – 6:40 PM UTC
    Session by Walmart Global Tech
    Vidhi Chugh, Staff Data Scientist at Walmart Global Tech
  • 6:40 – 7:10 PM UTC
    Why You Should Probably Be Using Apache Spark
    Raghu Dhara, Head of Data Science at KeepTruckin
  • 7:10 – 7:40 PM UTC
    How to Build an MLOps Center of Excellence
    Rajdeep Biswas, Director, Advanced Analytics & Machine Learning at Microsoft
  • 7:40 – 8:30 PM UTC
    Top trends in supply chain optimization in 2022
    Panel Discussion
  • 8:30 PM - 9:00 AM UTC
    Re-inventing CPG Product Development with AI
    Iraklis Pappas, Associate Director, Global Analytics at Colgate-Palmolive
  • 9:00 AM - 9:30 AM UTC
    Supply Chain Challenges? Boost Conversions with AI
    Sanjay Mehta, Head of Industry, eCommerce at Lucidworks
  • 9:30 – 10:00 AM UTC
    Transforming Backend Operations using AI & Delivering Great Value to the business
    Vijoe Mathew, Global Director of Analytics at Anheuser-Busch InBev
  • 10:00 – 10:10 AM UTC
    Closing thoughts & Conclusion

About Data Points:

Data Points is an event series focusing on Data Science, Artificial Intelligence, and Machine Learning in enterprise applications. Join other senior practitioners and executives for immersive talks on use cases, trends, and the technical infrastructure powering the most sophisticated data practices. Learn from leaders in data who have implemented data practices at scale in a series of interactive presentations.

Topics

  • Marketing spend optimization and attribution
  • Customer analytics and personalization
  • Fraud detection and risk scoring
  • ML for quantitative equity portfolio management
  • Price and promotion optimization
  • Churn prevention
  • AI/ML for IT Operations (AIOps)
  • Data Science platforms and MLOps
  • Deep learning for enterprise applications
  • Reinforcement learning in personalization and trading
  • Computer vision for digital experience platforms
  • Data science platforms
  • MLOps and AI productization
  • Data platforms for self-service analytics
  • Advanced data quality control
  • Scalable data engineering
  • Cloud data platforms