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Establishing an AI/ML center of excellence

AWS Machine Learning

They establish and enforce best practices encompassing design, development, processes, and governance operations, thereby mitigating risks and making sure robust business, technical, and governance frameworks are consistently upheld. It helps manage and scale central policies and standards.

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Project Management Skills: 21 Must-Haves for Success

Nicereply

Budgeting and Financial Management Knowing how to manage finances and budget is crucial to project management. It’s the best way to avoid overextending the budget. Such details can become benchmarks for upcoming projects. You need in-depth knowledge about best practices and processes to oversee a project.

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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. For more details about training LLMs on SageMaker, refer to Training large language models on Amazon SageMaker: Best practices and SageMaker HyperPod.

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

AWS Machine Learning

Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units. These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

With more than 15 years of experience in business, finance and accounting, she is also responsible for implementing financial controls and processes. Going from 50% first time resolution to 100% first time resolution might sound like a great target, but getting to 60% is already a 20% improvement over the benchmark. Scott Nazareth.