Sponsored by: Retool | The Last Mile of Enterprise AI Adoption: How Reckitt Operationalizes AI on the Lakehouse
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Enterprise Technology, Manufacturing, Retail & Consumer Goods |
| Technologies | AI/BI, Databricks SQL, Unity Catalog |
| Skill Level | Intermediate |
Reckitt operates a global portfolio of health and hygiene brands across more than 60 countries, including brands like Lysol and Durex, where speed, agility, and efficiency are critical to staying competitive. After building its Gen AI platform on Databricks, the company set out to deliver faster, more actionable consumer insights to marketing teams as part of a broader business transformation, ultimately reducing insight delivery time by up to 60 percent. In this session, Retool shares how Reckitt unified marketing data across sources and embedded Gen AI directly into governed marketing workflows on the Databricks Lakehouse, replacing manual reporting with execution paths that scale. Attendees will gain practical insights into the business and architectural decisions, integration patterns, and governance approaches used to embed Gen AI into governed workflows at enterprise scale.
Session Speakers
Tom Konewka
/Enterprise Solutions Engineering Leader
Retool
Steve Miller
/Head of Strategic Alliances
Retool