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AI IRL Podcast Episode 15: Understanding the Customer Engagement Maturity Model (part 1)

bold360 Blog

This week we spoke with Ross Haskell , Lead Evangelist for Bold360 at LogMeIn and Amber Gregorio , Senior Product Marketing Manager at LogMeIn about a model they’ve developed with Forrester Consulting to help companies understand how they’re doing in terms of customer experience. The Genesis of the Maturity Model.

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AI IRL Podcast Episode 17: Understanding the Customer Engagement Maturity Model (Part 3)

bold360 Blog

If you want a competitive edge that widens every year, it is time to upgrade your customer engagement maturity model. This week we conclude our conversation with Ross Haskell and Amber Gregorio from LogMeIn’s Bold360 team about the Customer Engagement Maturity (CEM) Model Assessment they developed with Forrester Consulting.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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Future-Proof Your Contact Center: A Comprehensive Guide to Preparing and Implementing AI Technologies

Expivia

Laying the Groundwork: Essential Preparations Before Technology Adoption Before diving into the world of AI and advanced contact center tools, it’s crucial to ensure your organization is ready. Robust Knowledge Management System (KMS) : A comprehensive KMS is vital for training AI and agents alike.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

This is a joint blog with AWS and Philips. One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

This release is not just an update; it’s a leap into the future of AI-driven customer service. Enlighten Actions: Beyond Analytics Enlighten Actions represents a significant advancement in AI-driven analytics, providing unprecedented insights into customer interactions and agent performance.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. New Generative AI features Using the LLM, QnABot now has two new important features, which we discuss in this section.