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Tag: Amazon SageMaker

Visualizing Amazon SageMaker machine learning predictions with Amazon QuickSight

AWS is excited to announce the general availability of Amazon SageMaker integration in QuickSight. You can now integrate your own Amazon SageMaker ML...

Omnichannel personalization with Amazon Personalize

As the touchpoints customers use to engage with brands move to an increasingly complex mixture of digital and real-life interactions, you’re faced with the daunting task of delighting your customers with personalized experiences that hit the mark across these channels. Customer expectations are evolving as well. Today’s customers quickly lose patience with brands that can’t […]

Building a lawn monitor and weed detection solution with AWS machine learning and IoT services

For new home buyers, a common challenge is to understand how to manage their lawn needs effectively. Now imagine if you’re a farmer...

Learn how to select ML instances on the fly in Amazon SageMaker Studio

Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection...

ML Explainability with Amazon SageMaker Debugger

Machine Learning (ML) impacts industries around the globe, from financial services industry (FSI) and manufacturing  to autonomous vehicles and space exploration. ML is no longer just an aspirational technology exclusive to academic and research institutions; it has evolved into a mainstream technology that has the potential to benefit organizations of all sizes. However, a lack […]

Scaling your AI-powered Battlesnake with distributed reinforcement learning in Amazon SageMaker

Battlesnake is an AI competition in which you build AI-powered snakes. Battlesnake’s rules are similar to the traditional snakes game. Your goal is...

Amazon A2I is now generally available

AWS is excited to announce the general availability of Amazon Augmented AI (Amazon A2I), a new service that makes it easy to implement...

Announcing availability of Inf1 instances in Amazon SageMaker for high performance and cost-effective machine learning inference

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine...

Deploying PyTorch models for inference at scale using TorchServe

Many services you interact with today rely on machine learning (ML). From online search and product recommendations to speech recognition and language translation,...

Using Amazon Textract with Amazon Augmented AI for processing critical documents

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. For...

Reduce inference costs on Amazon EC2 for PyTorch models with Amazon Elastic Inference

You can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch models in both Amazon SageMaker and Amazon EC2. PyTorch is a popular deep learning framework that uses dynamic computational graphs. This allows you to easily develop deep learning models with imperative and idiomatic Python code. Inference is the process […]

AWS delivers sessions online at NVIDIA GTC Digital

Starting Tuesday, March 24, 2020, NVIDIA GTC Digital is offering courses for you to learn AWS best practices to accomplish your ML goals...

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