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 […]

Announcing New Head of Data Science: Raphael Cohen

Announcing New Head of Data Science: Raphael Cohen We are excited to announce that Raphael Cohen joined Neuron7 as the Head of Data Science this week. Before Neuron7, Raphael led the AI research group at Chorus.ai, building and tailoring AI solutions from the ground up for the last 7 years. Raphael and team invented the conversation […]

How Knowledge Bases and Search Have Failed Customer Service

How Knowledge Bases and Search Have Failed Customer Service Many service organizations rely on knowledge base articles to troubleshoot product issues, especially if they support highly technical or complex products with various error codes, flags, and malfunctions. A call center agent may identify a common issue as a good candidate for a knowledge base article […]

Top AI Use Cases for Customer Service

Top AI Use Cases for Service: Doing More with Less Customer service leaders need to improve key metrics in a challenging environment. Products are becoming more complex, the information needed to support them is spread throughout most organizations, and talent is hard to find (and retain).  Artificial intelligence (AI) and Natural Language Processing (NLP) can […]