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Architect personalized generative AI SaaS applications on Amazon SageMaker

The AI landscape is being reshaped by the rise of generative models capable of synthesizing high-quality data, such as text, images, music, and videos. The course toward democratization of AI helped to further popularize generative AI following the open-source releases for such foundation model families as BERT, T5, GPT, CLIP and, most recently, Stable Diffusion. …

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Google is a Leader in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms

We’re excited to share that Gartner has recognized Google as a Leader in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms, authored by Bern Elliot and Gabriele Rigon. We believe this recognition is a testament to Google Cloud’s robust investments and commitment to innovation in AI, coupled with a deep understanding of enterprise …

Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. Although medicine continues to advance further, there’s still much to be done to help reduce the number of premature births and infant mortality. The worldwide …

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Use Snowflake as a data source to train ML models with Amazon SageMaker

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so …

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How data analytics and AI are helping achieve mission outcomes

Whether it’s to improve the customer experience, support climate resilience, or accelerate research discoveries, government and industry leaders are turning to data analytics and artificial intelligence (AI) to support mission outcomes at scale. Today we’re sharing tips from organizations who joined us at last year’s Google Government Summit (with many sessions now available on-demand). FEMA: Unifying the …

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Palantir nie jest brokerem danych (Palantir Explained, #1)

(An English-language version of this post can be read here.) Palantir jest często określany jako “tajemnicza firma”. Jest w tym określeniu ziarno prawdy. Od dwóch dekad współpracujemy z instytucjami o najwyższych standardach poufności, nie wyłączając dziedzin takich jak obronność i bezpieczeństwo narodowe. Charakter tej współpracy często wymuszał na nas zachowanie milczenia, również wtedy, gdy w mediach …

Data ingestion pipeline with Operation Management

by Varun Sekhri, Meenakshi Jindal, Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Several of these algorithms aim to improve different manual workflows so that we show the personalized promotional …

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Announcing the ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Posted by Shangbang Long, Software Engineer, Google Research The last few decades have witnessed the rapid development of Optical Character Recognition (OCR) technology, which has evolved from an academic benchmark task used in early breakthroughs of deep learning research to tangible products available in consumer devices and to third party developers for daily use. These …

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Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints

Deploying models at scale can be a cumbersome task for many data scientists and machine learning engineers. However, Amazon SageMaker endpoints provide a simple solution for deploying and scaling your machine learning (ML) model inferences. Our last blog post and GitHub repo on hosting a YOLOv5 TensorFlowModel on Amazon SageMaker Endpoints sparked a lot of interest …