Blog: Learn Machine Learning from a Google AI Engineer
Using CCAI Insights to Better Understand Customers
Contact centers are a valuable source of untapped data that holds the key on how to improve business. Understanding what customers are saying at scale allows business teams to effectively manage and invest resources to make product and services better. Contact Center AI Insights provides the tools and models to tap into contact center data to really hear everything customers are saying.
Contact centers are a valuable source of untapped data that holds the key on how to improve business. Understanding what customers are saying at scale allows business teams to effectively manage and invest resources to make product and services better. Contact Center AI Insights provides the tools and models to tap into contact center data to really hear everything customers are saying.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
