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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

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EBSCOlearning scales assessment generation for their online learning content with generative AI

AWS Machine Learning - AI

EBSCOlearning, a leader in the realm of online learning, recognized this need and embarked on an ambitious journey to transform their assessment creation process using cutting-edge generative AI technology. This multifaceted approach makes sure that the questions adhere to all quality standards and guidelines. Sonnet in Amazon Bedrock.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. BQA reviews the performance of all education and training institutions, including schools, universities, and vocational institutes, thereby promoting the professional advancement of the nations human capital.

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Why GreenOps will succeed where FinOps is failing

CIO

This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. Green computing contributes to GreenOps by emphasizing energy-efficient design, resource optimization and the use of sustainable technologies and platforms.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. For instance, consider a customer service AI assistant that handles three types of tasks: technical support, billing support, and pre-sale support. Such queries could be effectively handled by a simple, lower-cost model.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. Review and approve these if you’re comfortable with the permissions. Technical Info: Provide part specifications, features, and explain component functions.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. On the Review and create page, review the settings and choose Create Knowledge Base.