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Executives everywhere have great expectations for AI. From improving customer experience to optimizing operations, increasing topline revenue to avoiding serious downtime, the possibilities are virtually endless. But pie-in-the-sky ideas are often impractical. The key to success with this fast-evolving discipline is to stay focused and tackle important business initiatives in practical ways. So what are reasonable expectations for AI? In this second episode of The CX Experience, host @eric_kavanagh continues the conversation with Dion Hinchcliffe of Constellation Research and Jaime Meritt of Verint about AI Maturity Models, and how to determine the best path forward for your organization.
By Eric KavanaghExecutives everywhere have great expectations for AI. From improving customer experience to optimizing operations, increasing topline revenue to avoiding serious downtime, the possibilities are virtually endless. But pie-in-the-sky ideas are often impractical. The key to success with this fast-evolving discipline is to stay focused and tackle important business initiatives in practical ways. So what are reasonable expectations for AI? In this second episode of The CX Experience, host @eric_kavanagh continues the conversation with Dion Hinchcliffe of Constellation Research and Jaime Meritt of Verint about AI Maturity Models, and how to determine the best path forward for your organization.