Case Study: Madison Square Garden achieves near-perfect conversational AI accuracy with Galileo

Madison Square Garden boosts conversational AI accuracy from 70% to nearly 100% with Galileo

A leading entertainment tech company, which works with venues like Madison Square Garden, faced challenges in scaling its conversational AI. After achieving 70% accuracy using LLMs, it struggled with hallucinations and tone inconsistencies. Its manual evaluation process was inefficient, hindering growth. The company partnered with Galileo to address these issues with the Evaluate and Observe products.

By implementing Galileo, the company automated quality assessments and gained real-time performance monitoring. This solution improved accuracy from 70% to nearly 100% and allowed the management of over 427 different installs. Galileo enabled significant operational efficiency and cost savings by automating monitoring and avoiding the need for additional full-time hires.

Madison Square Garden