Neuron7 Research: Intelligent Question Answering Module for Product Manuals

Traditional Search vs. Intelligent Search

Neuron7 Research: Intelligent Question Answering Module for Product Manuals Question Answering (QA) is a well-researched NLP problem. The ability for users to query information in a range of formats – organized and unstructured – has become a requirement.  But instead of relying on generic Q&A systems, Neuron7 wanted to build a domain specific Q&A system […]

Top 3 Field Service Challenges to Solve with AI

Take AI for Field Service Survey

Top 3 Field Service Challenges to Solve with AI Artificial intelligence (AI) helps field service leaders empower technicians and improve overall service efficiency, while doing more with less. There are many potential applications of AI-generated insight. So, what challenges do organizations want to tackle first?  Neuron7 talks to field service leaders every day and collect […]

New Year’s (First Call) Resolutions with AI

New Year’s (First Call) Resolutions with AI Start 2023 off right with a new approach to customer service. If you’d like to resolve issues faster, empower your teams, and do more with less, technology can help. Customers expect help with issues in their first interaction with you, regardless of channel. Unfortunately, most service organizations operate […]

ChatGPT and the Future of AI for Customer Service

ChatGPT and the Future of AI for Customer Service Do you want to empower your customer and field service teams to resolve issues more effectively in 2023? 2023 may be “the year of AI” with recent buzz around ChatGPT, an AI tool capturing the public imagination that generates human-like responses to complex inquiries. We asked […]

Neuron7’s 3 Steps to AI Data Maturity

Neuron7’s 3 Steps to AI Data Maturity Many service organizations understand the promise of AI to empower teams and improve CSAT but worry their data is not “AI-ready”.   Data is messy. Service data may exist in dozens of disparate systems, may consist of messy notes of varying quality, and may have inconsistencies between systems. Many […]