How Mindbreeze InSpire Uses Natural Language Question Answering (NLQA)
Have you ever been working on a project and needed immediate assistance answering a question?
You dug through the depths of the Internet, but nothing you stumbled upon applied to your specific needs because it wasn’t focused enough. With so much data existing in scattered company databases, this problem becomes a non-issue.
Rather than searching and searching, the Mindbreeze InSpire insight engine allows users to type or copy and paste their questions directly into their workflow, providing immediate answers from sources that actually matter to you, the user.
Salespeople working on strenuous RFPs and tenders can access all relevant information and get responses to questions in milliseconds.
Marketing employees working on whitepapers and blog articles can type questions they have to ensure they are relaying use cases properly to the reader. Although a marketing department may not be involved with customers as much as customer support and sales, they can receive answers to their queries by slashing corporate boundaries and data silos.
Maintenance staff can also receive answers to questions about how a particular machine should be fixed, checked, or managed. There is no need to send out emails that may be delayed and hunt for answers from busy colleagues.
If you are unfamiliar with NLQA, we have compiled a list of helpful Mindbreeze resources below.
These resources get into more specifics on what NLQA is and how our customers use it to be more efficient in their everyday roles.
Latest Blogs
How to Prevent AI Hallucinations in the Workplace
The rapid adoption of Generative AI (GenAI) is transforming industries, offering businesses unprecedented efficiency, automation, and data-driven insights. However, with these advancements comes a critical challenge: AI hallucinations.
How AI-Powered Insights Transform Sales Pipeline Management & Forecasting
Managing an effective sales pipeline poses a number of challenges for any given team. Missed opportunities, inaccurate forecasting, a lack of visibility; all these obstacles can lead to inefficiencies and lost revenue.