March 19th, 2020

Unified Data Analytics | Retail & CPG Workshop
Unifying Data Pipelines, Business Analytics and Machine Learning with Apache Spark™ in Retail and CPG


Thank you for your interest in the Data + Machine Learning with Apache Spark™, your health and safety is of utmost importance to us. Due to the current COVID-19 (coronavirus) situation, Databricks has decided to move this from an in-person event to a web-based event. We will use Zoom for a virtual meeting environment, Zoom link will be sent to you upon registration. We look forward to seeing you on March 19th at 9:00 AM PT.

Retail & CPG enterprises today want to accelerate innovation by building data and machine learning into their business. Machine Learning has become essential for use cases such as driving personalized customer experiences, optimizing the retail supply chain, delivering better in-store operations, etc. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.
 
In this Retail & CPG focused workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment and manage the deployment of models to production.
 
Join this half-day virtual workshop to learn how unified data analytics can bring data science, business analytics, and engineering together to accelerate your data and ML efforts. This free workshop will give you the opportunity to:

  • Learn how your colleagues in the Retail & CPG enterprises are using Data and ML
  • Learn about the latest ML use cases in the Retail and CPG industry including demand forecasting, driving personalized customer experiences, optimizing the retail supply chain, delivering better in-store operations, etc.
  • Learn how to build highly scalable and reliable pipelines to train hundreds of ML models to forecast demand at scale. 
  • Enable your retail managers and analysts to consume ML insights easily
  • Get a deeper insight into Apache SparkTM and Databricks, including the latest updates with Delta Lake

AGENDA AT A GLANCE
 
09:00-09:30 am Opening Remarks - Unifying Data Science and Data Engineering
09:30-10:15 am Customer Use Case
10:15-10:30 am Q&A
10:30-11:00 am Transitioning from Forecast Allocations to Fine-Grain Forecasts at Scale
11:00-11:30 am Enabling Forecast Consumption by Analyst
11:30-12:00 pm Q&A

Space is limited for this event. Sign up today to reserve your spot!




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