Insight
Steps to Build a Pragmatic AI Strategy
Nick Kramer offers his thoughts on what to consider when building a pragmatic AI strategy in this diginomica article.
Learn MoreNick Kramer is featured in this CX Dive article about bridging the gap between self-service and live agents in the customer service landscape.
Nick outlines the ideal role of live agents in customer service, “Best practices can be summarized in one word: communication. Information flow to the customer and to the live agent is the basis for a positive experience, even in challenging calls or suboptimal outcomes. The customer must be notified of the transfer and the reason for it, with the chatbot asking for their permission to transfer the ticket to a live agent.”
He explains how tools like generative AI can be leveraged as a tool for customer service agents, “The power of generative AI to help make a live agent perform at a higher level will have a huge impact. Product knowledge and history will be easier and faster to retrieve. Generative AI can suggest scripts or generate personalized points based on the customer history or a previous interaction with a chatbot, etc. Customer service will never be the same; it will in most cases be much better.”
Nick Kramer offers his thoughts on what to consider when building a pragmatic AI strategy in this diginomica article.
Learn MoreNick Kramer was quoted in this article in CIO Online looking at the barriers that prevent companies from becoming data driven.
Learn MoreNick Kramer was featured in this TechTarget article about the importance of evaluating business needs when selecting stream processing tools.
Learn MoreNick Kramer is featured in this Techtarget article discussing ethical issues associated with generative AI as grows in popularity and presents disruption to business models.
Learn MoreJohn Blankenbaker was featured in this TechTarget article outlining the capabilities for different neural networks and their potential applications in business.
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