Multicloud connectivity for regulated industry workloads on IBM Cloud

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Figure 1: IBM Cloud connected to other clouds and enterprise networks. As enterprises modernize and migrate workloads to IBM Cloud, they often run into requirements that certain components of their application workloads to run on other cloud service provider networks. These requirements create a technical challenge for enterprises—especially in regulated industries (e.g., insurance, banking, healthcare, …

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On-device content distillation with graph neural networks

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Posted by Gabriel Barcik and Duc-Hieu Tran, Research Engineers, Google Research In today’s digital age, smartphones and desktop web browsers serve as the primary tools for accessing news and information. However, the proliferation of website clutter — encompassing complex layouts, navigation elements, and extraneous links — significantly impairs both the reading experience and article navigation. …

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Build a classification pipeline with Amazon Comprehend custom classification (Part I)

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“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured …

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Data breach prevention: 5 ways attack surface management helps mitigate the risks of costly data breaches

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Organizations are wrestling with a pressing concern: the speed at which they respond to and contain data breaches falls short of the escalating security threats they face. An effective attack surface management (ASM) solution can change this. According to the Cost of a Data Breach 2023 Report by IBM, the average cost of a data …

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Visualize an Amazon Comprehend analysis with a word cloud in Amazon QuickSight

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Searching for insights in a repository of free-form text documents can be like finding a needle in a haystack. A traditional approach might be to use word counting or other basic analysis to parse documents, but with the power of Amazon AI and machine learning (ML) tools, we can gather deeper understanding of the content. …

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Document AI Workbench is now powered by generative AI to structure document data faster

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Document AI helps businesses structure document data to automate processes, improve SLAs, reduce costs, and unlock insights by making analysis across documents possible. A critical part of document processing is the ability to customize results for enterprise-specific documents. That’s why we launched Document AI Workbench. Document AI Workbench enables users to customize models for document …

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World scale inverse reinforcement learning in Google Maps

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Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved, unpaved roads), and user preferences, which …

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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

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In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive In this post, we’ll tackle another fallacy …

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World scale inverse reinforcement learning in Google Maps

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Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved, unpaved roads), and user preferences, which …

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Amazon SageMaker simplifies the Amazon SageMaker Studio setup for individual users

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Today, we are excited to announce the simplified Quick setup experience in Amazon SageMaker. With this new capability, individual users can launch Amazon SageMaker Studio with default presets in minutes. SageMaker Studio is an integrated development environment (IDE) for machine learning (ML). ML practitioners can perform all ML development steps—from preparing their data to building, …

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