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Contact Center Management: Best Practices & Strategies for Peak Performance

Calabrio

Best Practices Contact Center Management: Best Practices & Strategies for Peak Performance Share The modern contact center is no longer seen as a mere service function at the periphery of the business. Instead, todays leaders recognize its central role in fueling and future-proofing enterprise success.

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

AWS Machine Learning

This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from their vast amounts of data that exist in image form. This enables enterprises to unlock real value from their vast amounts of data that exist in image form.

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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning

NR AI responds by analyzing current performance data and comparing it to historical trends and best practices. This unified view enables everyone supporting your enterprise software to understand and act on insights about application health and performance. The following diagram illustrates the workflow.

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Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Conduct quarterly training refreshers to introduce new features and best practices.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost. By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples.

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Customer Success in SaaS: A Complete Guide & Best Practices

Totango

SaaS success outcomes can be defined in terms of measurable digital benchmarks. SaaS technology and supporting apps should be used to implement a data-driven approach to customer success, automate best practices, monitor results, and manage performance. This makes success quantifiable for objective, data-driven CS management.

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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

By using the same evaluator model across all comparisons, youll get consistent benchmarking results to help identify the optimal model for your use case. The following best practices will help you establish standardized benchmarking when comparing different foundation models. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

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