Natural Language and Search

Chapter 6. Deploying a Winning Search Strategy

This chapter discusses important considerations for using ML to drive your search strategy. We’ll begin by examining four real organizations that have successfully rethought their search strategies to include ML-driven search: Walmart, CoStar, Syte, and Novartis. We’ll discuss critical factors such as scalability, continuous improvements and updates, and governance. We’ll finish by discussing how to make sure your search engine uses responsible AI techniques, including basic safety and security considerations for AI models.

Success Stories

These success stories explain how four organizations have used highly scalable ML-driven search engine strategies to boost their customers’ experiences. Walmart is augmenting its staff with ML-driven search in its stores and online. CoStar is now achieving 30-millisecond search results with a modern data plane for millions of concurrent users. Syte is increasing retail conversions with visual discovery, and Novartis is improving search recommendations by applying groundbreaking NLP and ML techniques. These stories speak to the breadth and depth of how people are building ML-driven solutions.

Walmart: AI Assistants

The world’s largest private employer, Walmart, is augmenting its staff with ML-driven search that assists customers online and in physical stores. These AI knowledge workers relieve staff from many tedious tasks related to stocking and finding items, leading to higher staffing levels ...