Remember diagramming sentences in school? Turns out the computer does it better (and more easily.) The machine disassembles language — in order to assemble a human-like understanding. That’s the beginning of Natural Language Processing.
Advanced ecommerce search and personalization engine for increased conversions and higher average order value. Learn more…
Contact center software for better call deflection, increased agent effectiveness, and happier customers. Learn more…
Enterprise search and findability for deeper insights and more productive employees. Learn more…
Most QA systems are nothing more than keyword matches with a robust FAQ. Our system goes deep to understand intent — including determining synonyms.
Most search starts with a keyword or two. Then we add or eliminate words to refine the results. Once you get that list of links — you need to open, download, and devour — before finding the right answer.
But what if we could skip all those steps?
A natural language search engine must be able to take the request (whether spoken or typed into a box) break it into parts of speech, figure out what you’re looking for — and what you aren’t, and what to include and turns it into the query that it can submit to a database or search system in order to return the results right back to you.
There’s nothing artificial about intelligence. Augmented intelligence is when AI extends human judgment instead of replacing it.
Learn how machine learning and search engines are a incredible combination for creating powerful experiences for customers and employees.
How clustering and classification algorithms can improve the search experience for your employees and customers.
Underperforming queries aggravate everyone. Head/tail analysis stops it.
Users are constantly telling you what they like and what they don’t. Are you listening?
Some users know exactly what they’re looking for – almost. With every query, facets give every user a more precise set of results.
The best search applications index all of a company’s data so users have one unified search experience.
Personalization is about addressing people by name. Hyper-personalization is figuring out what they really want.