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Deep Dive into Loyalty and Experience Drivers in the Tech World—The Blueprint for Building Long-Term B2B Relationships

eglobalis

In this context , loyalty becomes more than just a metric; it is an indicator of long-term partnership strength. The Role of Relationship Management Strong interpersonal relationships are a cornerstone of successful B2B partnerships. But what truly drives loyalty in the B2B space?

B2B 421
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User Feedback for SaaS: Best Practices & Tools for Business Success

InMoment XI

This feedback supports brand reputation management efforts, attracting high-quality prospects. What User Feedback Metrics Are Essential for a SaaS Company to Track? This metric provides an accurate portrayal of the long-term value of the average customer. These actions could include creating a profile or uploading a document.

Tools 195
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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

In the following sections, we explore how to lead a successful CX transformational program in a B2B settingcovering everything from executive leadership and strategy to metrics, culture change, and real-world case studies. Quantifying these impacts helps build the business case for investment in CX initiatives.

B2B 339
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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. MLflow is an open source platform for managing the end-to-end ML lifecycle, including experimentation, reproducibility, and deployment.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

In this post, we focus on one such complex workflow: document processing. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

Tools 86
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. These stages are applicable to both use case and model stages.