Personalized Marketing and Recommendation Engines at Scale with Posit & Databricks

Transforming Raw Retail Data into Real-Time Actionable Insights
Play video Personalized marketing and recommendation engines

Table of Contents

  1. The Personalization Challenge
  2. The Solution Architecture
  3. Meet Positron: A Modern IDE for Python & R
  4. AI-Accelerated Exploration
  5. Training the Hybrid Recommender
  6. The Interactive Shiny Dashboard
  7. Seamless Deployment and Governance
  8. Driving Real Business Value
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The Personalization Challenge

Overcoming data silos and rising customer expectations

 

The Solution Architecture

Unifying data with Databricks and Posit

 

Meet Positron: A Modern IDE for Python & R

Flexible data science workflows for R and Python

 

AI-Accelerated Exploration

Validating raw data and using Databot for instant insights

 

Training the Hybrid Recommender

Collaborative filtering and propensity scoring at scale

 

The Interactive Shiny Dashboard

Live sales performance and personalized product recommendations

 

Seamless Deployment and Governance

Publishing to Posit Connect with secure access controls

 

Driving Real Business Value

Faster insights and higher conversions through scalable workflows

 

Save your seat for our monthly demo series

We host these Workflow Demos the last Wednesday of every month, and you can add them to your calendar with this link.