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Announcing provisioned concurrency for Amazon SageMaker Serverless Inference

Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process. A Serverless Inference endpoint spins up …

Bringing Google Cloud generative AI to popular workplace apps

Generative AI is poised to transform and streamline many of the most common processes and tasks each of us performs every day at work — like how we communicate, how we analyze data, how we interface with apps, or even how we summarize content and conversations.  At Google Cloud, our open approach to generative AI …

The risks and limitations of AI in insurance

Artificial intelligence (AI) is polarizing. It excites the futurist and engenders trepidation in the conservative. In my previous post, I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. This blog continues the discussion, now investigating the …

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Securing MLflow in AWS: Fine-grained access control with AWS native services

With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows. …

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Build an image search engine with Amazon Kendra and Amazon Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an image has never been easier. Most …

Self-Supervised Temporal Analysis of Spatiotemporal Data

*=Equal Contributors There exists a correlation between geospatial activity temporal patterns and type of land use. A novel self-supervised approach is proposed to survey landscape based on activity time series, where time series signal is transformed to frequency domain and compressed into embeddings by a contractive autoencoder, which preserve cyclic temporal patterns observed in time …

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Migrating Critical Traffic At Scale with No Downtime — Part 1

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala, Javier Fernandez-Ivern, Anup Rokkam Pratap, Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being …

Supporting teachers in their STEM skilling journeys

Three of my four grandparents were teachers. Their love of learning and passion for lighting a spark in their students impressed upon me the power that teachers have to change lives and shape the future. As I’m writing this, I am in Jacksonville, Florida, just a few miles from where my grandmother, Rosalie Gordon-Mills, was …