The history of ESG: A journey towards sustainable investing

The term ESG, or environmental, social and governance, is well-known in the investor community. It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. But while the term ESG was first coined in 2004 by the United Nations …

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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs and enabling innovation. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. Moreover, they can orchestrate complex, …

The case for separating DNS from your CDN 

If you’re signing on with a content delivery network (CDN) provider, you’ll probably see DNS as part of the standard service package. It’s only natural—to access your content delivered by the CDN, the Internet has to know where to send the traffic. CDNs make it easy to configure and manage those DNS settings.  It’s easy to …

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Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. In the second post, we discussed an approach to develop a deep learning-based computer vision model …

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Medical Text Processing on Google Cloud

The FDA has a history of using real world evidence (RWE) as an integral component of the drug approval process. Moreover, RWE can mitigate the need for placebos in some clinical trials. The clinical records that make RWE evidence useful, however, often reside in unstructured formats, such as doctor’s notes, and must be “abstracted” into …

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Graph neural networks in TensorFlow

Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production networks, knowledge graphs, or social networks. …

Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing.  Determining the best cloud computing architecture for enterprise business is critical for overall success. That’s why it is essential to compare …

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Graph neural networks in TensorFlow

Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — take for example transportation networks, production networks, knowledge graphs, or social networks. …

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Accenture creates a regulatory document authoring solution using AWS generative AI services

This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). A key part of the submission process is authoring …

No GPU? No problem. localllm lets you develop gen AI apps on local CPUs

In today’s fast-paced AI landscape, developers face numerous challenges when it comes to building applications that use large language models (LLMs). In particular, the scarcity of GPUs, which are traditionally required for running LLMs, poses a significant hurdle. In this post, we introduce you to a novel solution that allows developers to harness the power …