Podcast: How AI Uses User Data To Retrieve Information We Need Faster With Better Results

Lasya Marla, Director of Fusion AI at Lucidworks, featured on Future Tech Podcast “How AI Utilizes User Data To Retrieve The Information We Need Online, Faster With Better Results.” Lasya provides an overview of the data optimization improvements AI-based technology is delivering and how advanced machine learning can greatly enhance ecommerce and retail website users’ experiences. Companies and businesses can run recommendation algorithms on their sites’ search engines to increase user enjoyment, efficiency of experience, and ultimately keep the user on the site longer. Lucidworks can facilitate a company’s needs by allowing the retooling of their site and search engine to be semi-automated so that a search developer won’t need to understand what is ‘under the hood’ in order to keep it online and efficiently running. Listen here.

You Might Also Like

How a B2B distribution giant uses smart search to navigate inflation, tariffs, and 10,000+ daily queries

Meet Ryan Finley: A 17-year search veteran who's turning enterprise search into...

Read More

How agentic AI can cut response times by 50% and save companies 15,000 hours monthly

Discover how agentic AI is delivering measurable ROI today. Companies are cutting...

Read More

The 4 levels of agentic AI every business leader must understand in 2025

Discover the four critical levels of agentic AI with real-world implementation lessons...

Read More

Quick Links