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This article focuses on the operationalization and measurable business impact of generative AI within contact center environments, specifically addressing cost-to-serve, agent productivity, and resolution quality. It highlights a critical shift from theoretical innovation to accountability regarding whether AI deployments deliver genuine economic value in enterprise settings.

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What to expect during ‘The AI ROI in Contact Center Summit’: Join theCUBE Sept. 11

SiliconANGLESeptember 9, 20266 min read

Contact center automation now has to produce results that businesses can measure. Enterprises are moving past broad claims about AI and asking how deployments affect operating costs, employee performance and service quality. TheCUBE Research frames the Sept. 11 “AI ROI in Contact Centers Summit” around that shift, with analysts assessing whether the technology creates lasting […] The post What to expect during ‘The AI ROI in Contact Center Summit’: Join theCUBE Sept. 11 appeared first on SiliconANGLE.

What to expect during ‘The AI ROI in Contact Center Summit’: Join theCUBE Sept. 11 Contact center automation now has to produce results that businesses can measure. Enterprises are moving past broad claims about AI and asking how deployments affect operating costs, employee performance and service quality. TheCUBE Research frames the Sept. 11 “AI ROI in Contact Centers Summit” around that shift, with analysts assessing whether the technology creates lasting economic value, according to Paul Nashawaty, principal analyst at theCUBE Research. “AI in the contact center is moving from an innovation discussion to an accountability discussion. The question is no longer whether…

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