Favorite Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post,

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Shared by AWS Machine Learning September 14, 2024

Favorite Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses

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Shared by AWS Machine Learning September 14, 2024

Favorite Thomson Reuters, a global content and technology-driven company, has been using artificial intelligence and machine learning (AI/ML) in its professional information products for decades. The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do their work, helping professionals draw

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Shared by AWS Machine Learning September 13, 2024

Favorite As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. In what we consider “Act 1” of the generative AI story, we saw previously unimaginable amounts of data and compute create models

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Shared by AWS Machine Learning September 13, 2024

Favorite In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Many health insurance plan beneficiaries find it challenging to navigate through the complex member portals provided by their insurance plans. These portals often require multiple clicks, filters, and

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Shared by AWS Machine Learning September 13, 2024

Favorite Llama 3, Meta’s latest large language model (LLM), has taken the artificial intelligence (AI) world by storm with its impressive capabilities. As developers and businesses explore the potential of this powerful model, crafting effective prompts is key to unlocking its full potential. In this post, we dive into the

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Shared by AWS Machine Learning September 13, 2024

Favorite Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

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Shared by AWS Machine Learning September 13, 2024

Favorite In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock, while the second explored building custom generative AI applications with Amazon Bedrock. Now I’d like to take

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Shared by AWS Machine Learning September 12, 2024

Favorite Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number of companies are looking for

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Shared by AWS Machine Learning September 12, 2024

Favorite Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context of this post, we refer

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Shared by AWS Machine Learning September 12, 2024