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The future of data: A 5-pillar approach to modern data management

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. However, the analytics/reporting function needs to drive the organization of the reports and self-service analytics.

Data 167
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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning - AI

It requires sophisticated visual reasoning to interpret data visualizations and answer numerical and analytical questions about the presented information. Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning - AI

Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. Our offerings include: 1.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. For more details, see Viewing the analytics dashboards.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS.

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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning - AI

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.