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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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Scheduling Software for Call Centers: Buying Tips & Best Practices

Callminer

That’s why it’s important to make use of the best tools available for the job.” ” – 15 Best Practices For Effective Call Center Management , Sling. ” – Ryan Murphy, 4 Steps to Successfully Buying Enterprise Software , Bullhorn; Twitter: @Bullhorn. ” – Jones, Elden F.,

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. What’s different about operating generative AI workloads and solutions?

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

An example of a customized image search is Enterprise Resource Planning (ERP). In ERP, image data collected from different stages of logistics or supply chain management could include tax receipts, vendor orders, payslips, and more, which need to be automatically categorized for the purview of different teams within the organization.

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Customer Experience Automation: Transforming the Future of Customer Service

TechSee

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. Seamless integration with existing CRM tools and other enterprise systems is a critical feature of leading CX platforms.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

When building such generative AI applications using FMs or base models, customers want to generate a response without going over the public internet or based on their proprietary data that may reside in their enterprise databases. Ray Khorsandi is an AI/ML specialist at AWS, supporting strategic customers with AI/ML best practices.

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