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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units.

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What Are Call Tracking Metrics?

aircall

Call center analytics can also provide you with insight into areas of improvement and promote accountability for your call center’s performance. We’ll also discuss how to benchmark call center software and use it to improve call center performances across various industries. Call Center Benchmarks Across Industries.

Metrics 71
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Establishing an AI/ML center of excellence

AWS Machine Learning

By taking a proactive approach , the CoE provides ethical compliance but also builds trust, enhances accountability, and mitigates potential risks such as veracity, toxicity, data misuse, and intellectual property concerns. It helps manage and scale central policies and standards.

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Get Your Bank Ready to Measure CX in 2020

PeopleMetrics

NPS is a simple and powerful metric and is fast becoming the industry standard for measuring brand loyalty. In-branch could include new account/new loan application, or teller and drive-thru transactions – with specific questions for each touchpoint. Is NPS the right metric? Which customer touchpoints should be measured?

Banking 54
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Best practices to build generative AI applications on AWS

AWS Machine Learning

Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks. Kojima et al. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities. For more details, refer to Amazon Bedrock Developer Experience.