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Emotions Drive Spending, But Do You Know Which Ones Drive the Most?

Beyond Philosophy

So, in other words, when your customers feel these, you can get blips of improvement in your “value” metrics. We did some work with a construction equipment manufacturer. They were dealing with construction people. From our research that we did with London Business School, these emotions drive short-term spend.

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Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart

AWS Machine Learning

All text-to-image benchmarks are evaluated using Recall@5 ; text-to-text benchmarks are evaluated using NDCG@10. Text-to-text benchmark accuracy is based on BEIR, a dataset focused on out-of-domain retrievals (14 datasets). Generic text-to-image benchmark accuracy is based on Flickr and CoCo.

Benchmark 110
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Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

AWS Machine Learning

Overview of Pixtral 12B Pixtral 12B, Mistrals inaugural VLM, delivers robust performance across a range of benchmarks, surpassing other open models and rivaling larger counterparts, according to Mistrals evaluation. Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5%

Benchmark 114
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What is Call Center Quality Assurance?

OctopusTech

Performance metrics analysis: This involves tracking and benchmarking key performance indicators (KPIs) such as customer satisfaction, average handle time, first-call resolution, and call compliance adherence as indicated on QA scorecards and dashboards.

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How to Set Industry NPS Benchmarks and Why It Matters

Lumoa

Net Promoter Scores are always an interesting topic of conversation, and industry NPS benchmarks even more so. A Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction. This blog post will discuss NPS benchmarks and look at why NPS is so essential to overall customer success.

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Best Practices for Auditing Calls to Maintain High QA Standards

TeleDirect

Call auditing helps ensure that customer interactions meet established quality benchmarks while identifying areas for improvement. Performance Feedback and Coaching Once audits are completed, share results with agents to provide constructive feedback. Improved Agent Performance: Provide targeted training and constructive feedback.

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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

we released a LM+GNN benchmark using the large graph dataset, Microsoft Academic Graph (MAG), on two standard graph ML tasks: node classification and link prediction. The following table shows the model performance of the two methods and the overall computation time of the whole pipeline starting from data processing and graph construction.

APIs 120