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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning

Additionally, weve implemented comprehensive usage analytics, providing insights into adoption patterns and areas for improvement. These initial usage metrics and the planned technical improvements demonstrate the systems positive impact on our workflows. This approach allows us to maintain tight control over data access and usage.

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100+ Customer Experience Stats to Prepare for 2023

CCNG

Marketing Metrics, 2010) Increasing customer retention rates by 5% increases profits anywhere from 25% to 95%. CCMC, 2017) Customer Experience Metrics and Data Learn how to measure Customer Experience 21% of companies have developed their own KPIs to track customer experience. over the last two years, 2.4 IDC, 2022).

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.

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Survey Design – Best Practices

Lumoa

How much money did you spend on entertainment last month?”. For example, how often do they access a particular service (Google Analytics), or how much do they purchase (CRM), etc. Metric Selection: Optimize for impact within the organization. Metric selection. Principles of Survey Design.