Remove 2023 Remove Analytics Remove Metrics
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23 Inspiring Women to Watch in 2023

TechSee

She combines expertise in operations management, finance, customer operations, strategy development and execution, complex problem solving, and large organization leadership with complex negotiation, analytical, and interpersonal skills. We were excited to see her leading the conversation at MCW23 last week.

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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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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

To evaluate the effectiveness of a RAG system, we focus on three key metrics: Answer relevancy – Measures how well the generated answer addresses the user’s query. By implementing dynamic metadata filtering, you can significantly improve these metrics, leading to more accurate and relevant RAG responses. get('text').split(':')[0].split(',')[-1].replace('score

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New year, new CS: 2023 recap and what’s to come in 2024

Totango

With Totango, businesses can integrate data to get a 360° view of customer health, collaborate to manage their customer portfolio , engage with customers when and where it matters, monitor and improve the metrics that matter , and scale CS faster with the power of people + AI. Plus, industry experts agree.

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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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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process. Evaluation algorithm Computes evaluation metrics to model outputs. Different algorithms have different metrics to be specified. We specifically focus on SageMaker with MLflow.

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CX4Now: Contact Center KPIs that Matter

Fonolo

But without the contact center KPIs and metrics that managers use to measure the effectiveness of their operations, you’d never know for sure. We asked contact center industry influencers to share their insights into the changing role of KPIs and shine a light on new metrics to watch. KPIs matter. And they’re changing quickly.