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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
Read More 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
Read More 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
Read More 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
Read More 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.
Read More 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
Read More 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
Read More 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
Read More Shared by AWS Machine Learning September 12, 2024
Favorite Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series
Read More Shared by AWS Machine Learning September 12, 2024