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Lesson #31 Revisited: Root Cause Analysis (RCA) Is a Must—AI Helps a Bit, But the Pain andthe Payoff Are Still Yours

PeopleMetrics

Thats where root cause analysis (RCA) comes inand in my view, its one of the most powerful, yet underused, parts of a VoC program. Heres where AI helps: Text Analytics : As I have mentioned in this blog series several times, AI-powered text analytics can flag themes in open-ends across hundreds or thousands of recover alerts.

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How Can Sentiment Analysis Be Used to Improve Customer Experience?

Interaction Metrics

Sentiment analysis reveals the emotions your customers feelbut knowing how they feel is only useful if you know why they feel the emotion in the first place. We provide comprehensive text analysis services that include sentiment analysis to deliver actionable insights you can use to improve the customer experience.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. The diagram shows several accounts and personas as part of the overall infrastructure.

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Guest Post: How to Design a Customer Success Program That Works

ShepHyken

Account management Offer workshops on relationship-building, active listening, and consultative selling for identifying upsell or cross-sell opportunities. Encourage shadowing experienced account managers who can disseminate their best tips and tricks. Assess how they’re going to harness analytics to make the right decisions.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning

This step provides an accurate and efficient conversion of spoken words into a format suitable for further analysis. This streamlines the process of data collection, analysis, and decision-making for clinical trial stakeholders, including investigators, sponsors, and regulatory authorities.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning

The assessment includes a solution summary, an evaluation against Well-Architected pillars, an analysis of adherence to best practices, actionable improvement recommendations, and a risk assessment. It is highly recommended that you use a separate AWS account and setup AWS Budget to monitor the costs.