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Tailwind Staff Software Engineer

Hi Team!This post is my application for the open Staff Software Engineer position. A Bit About Me I'm a software engineer from Omaha, NE (USA) with...

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI | Amazon Web Services

In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru...

Gemma is now available in Amazon SageMaker JumpStart  | Amazon Web Services

Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...

Knowledge Bases for Amazon Bedrock now supports hybrid search | Amazon Web Services

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation...

Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we...

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...

What is the role of spot Bitcoin ETFs in modern investment portfolios?

Aligned within a year of its three halving events, Bitcoin had three major bull runs in its 15-year history. After each one, in 2013,...

Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock | Amazon Web Services

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Their popularity stems...

RBNZ’s Orr – Inflation expectations still too high – MarketPulse

The New Zealand dollar is drifting on Friday....

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

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs...

How HSR.health is limiting risks of disease spillover from animals to humans using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. HSR.health is a geospatial health...

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