WIRED Health 2021

December 8, 2021

December 8, 2021

9:00 am To 2:30 pm

Online: GMT (UK)



Event Description

Exploring Data Science in Manufacturing, Retail & CPG

In the fast-paced world of the enterprise, artificial intelligence and machine learning are critical to staying ahead of the competition. How can you get the most out of your data? Learn the innovative approaches the world’s leading companies are taking to solve today’s key challenges in technology and finance sectors.


Data Points is a summit series around 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.

Find us on Social Media!

And on the official website.


  • 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 and ML engineering:

  • Data science platforms
  • MLOps and AI productization
  • Data platforms for self-service analytics
  • Advanced data quality control
  • Scalable data engineering
  • Cloud data platforms


Grid Dynamics


About the Organizers

Grid Dynamics is the engineering IT services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Central and Eastern Europe, we focus on machine learning, AI, big data analytics, scalable omnichannel services, DevOps,and cloud enablement.

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