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Best practices for Amazon SageMaker HyperPod task governance

AWS Machine Learning

In this post, we provide best practices to maximize the value of SageMaker HyperPod task governance and make the administration and data science experiences seamless. As a best practice, set the fair-share weight higher for teams that will require access to capacity sooner than other teams.

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25 Indicators of Fraud on Inbound Calls

Callminer

Speech analytics software , for example, enables call centers to review past fraudulent calls, customize a fraudulent scorecard, and leverage real-time analytics to provide guidance to agents while on the call if a call is flagged as potential fraud. Caller has difficulty answering KBA questions.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members.

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Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance

Hodusoft

Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance Whether you are an entrepreneur or a professional in the contact center industry or any other sector, you know that implementing best practices can enhance performance by leaps and bounds and drive success. They create them.”

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning

Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account. Implementation and best practices The solution is designed to be modular and flexible so you can customize it according to your specific requirements.