Detect anomalies in manufacturing data using Amazon SageMaker Canvas

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This dilemma hampers the creation of efficient models that use data to generate business-relevant insights... Amazon SageMaker Canvas addresses this dilemma by providing domain experts a no-code interface to create powerful analytics and ML models, such as forecasts, classification, or regression models... It also allows you to deploy and share these models with ML and MLOps specialists after cr...

Enhance Amazon Connect and Lex with generative AI capabilities

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The bot takes natural language speech or text input, recognizes the intent behind the input, and fulfills the user’s intent by invoking the appropriate response...” Failed intents like these frustrate customers who have to repeat themselves, get routed incorrectly, or are escalated to live agents—costing businesses more... In this post, we explore a solution that uses FMs delivered by Amaz...

Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth

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Labeling mistakes are important to identify and prevent because model performance for pose estimation models is heavily influenced by labeled data quality and data volume... In this post, we show how you can use a custom labeling workflow in Amazon SageMaker Ground Truth specifically designed for keypoint labeling... This custom workflow helps streamline the labeling process and minimize labelin...

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

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She has over 15 years of strong experience in leading several complex, highly robust, and massively scalable software solutions for large-scale enterprise applications... This is fueling innovation across industries, with generative AI demonstrating immense potential to enhance countless business processes, including the following: Accelerate research and development through automated hypothe...

Azure Elastic SAN efficiently migrates SAN to the cloud—now generally available

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We are excited to announce the general availability (GA) of Azure Elastic SAN, the industry’s first fully-managed and cloud-native storage area network (SAN) offering that simplifies deploying, scaling, managing, and configuring a SAN in the cloud... It’s a thoughtful innovation combining the efficiency at scale of on-premises SAN systems and the flexibility of cloud storage...When to use ...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

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In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%... This has two issues: It requires additional manpower, weight stickers, and repeated training for the in-store operational team as they scale... To ...

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

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SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts... This new capability promotes collaboration and minimizes duplicate work for teams involved in ML model and application development, particularly in enterprise environments with multiple accounts spanning different business units or functions... With this launch, account owners ca...