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Establishing an AI/ML center of excellence

AWS Machine Learning

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. What is an AI/ML CoE?

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How Call Center KPI Benchmarks Reflect Your Brand

Calltools

This data allows them to bolster those areas to meet or even surpass industry standard call center KPI benchmarks, which is essential for your brand’s reputation. Wait time should be one of your most important call center KPI benchmarks. These are some standard statistics for how industries vary in KPI measurements.

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Linking ESG Programs to Corporate Financial Performance: An Econometric Analysis Approach

CSM Magazine

As businesses increasingly prioritize the incorporation of environmental, social, and governance (ESG) initiatives into their daily operations, many executives are rightfully pondering not only the moral implications of responsible ESG practices but – perhaps more importantly – how to quantify their impact on corporate financial performance (CFP).

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Choosing Between CSAT, NPS or CES: Why it Does Not Matter  

COPC

It is more widely recognized by customers and applicable across various industries. Consider if you would genuinely “recommend” a government department to your friends and family. While any of these metrics can be suitable for most organizations, I prefer CSAT.

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

AWS Machine Learning

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. All these capabilities are built to help multiple lines of business innovate with speed and agility while governing at scale with central controls.

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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. Safety – Retrieving the information from required and permitted data sources can improve governance and control over harmful and inaccurate content generation.