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

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

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

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

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 …

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

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

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

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, …

Generative AI on Google Cloud: New training content, from introductory to advanced

Generative AI is a type of machine learning and artificial intelligence (AI) that is garnering a lot of attention right now, and we want to help keep you a step ahead by sharing the latest training available from Google Cloud. In this blog, we have compiled resources to help you learn about generative AI, how …

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Differentially private median and more

Posted by Edith Cohen and Uri Stemmer, Research Scientists, Google Research Differential privacy (DP) is a rigorous mathematical definition of privacy. DP algorithms are randomized to protect user data by ensuring that the probability of any particular output is nearly unchanged when a data point is added or removed. Therefore, the output of a DP …

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Top 10 Powerful Use Cases of Generative AI Chatbots in Call Centers

In the rapidly evolving landscape of customer service, call centers are embracing cutting-edge technologies to elevate their operations and meet the growing expectations of today’s consumers. Among these transformative technologies, Generative AI chatbots have emerged as a game-changer. These intelligent virtual assistants are modifying the way call centers engage with customers, streamline processes, and deliver …