Tag: Customer Solutions
Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...
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Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | Amazon Web Services
Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business...
Build well-architected IDP solutions with a custom lens – Part 6: Sustainability | Amazon Web Services
An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers...
Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker | Amazon Web Services
This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since...
Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD | Amazon Web Services
Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is...
Software Complexity Bedevils Mainframe Security
Companies just can't quit mainframes.While cloud infrastructure hogs the spotlight, mainframe systems continue to dominate major segments of the economy, especially those that require...
Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints | Amazon Web Services
Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive...
T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice | Amazon...
This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and...
Keeping an eye on your cattle using AI technology | Amazon Web Services
At Amazon Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen...
Quantum News Briefs September 25: Toshiba opens £20m UK quantum factory. aims for chip-based QKD; Canada’s DistriQ deploying C$435M+ to make Québec a global...
By Sandra Helsel posted 25 Sep 2023 Quantum News Briefs September 25:
Toshiba opens £20m UK quantum factory. aims...
Olympus Announces Plan to Establish Digital Excellence Centers Following Acquisition of Cloud-AI Endoscopy Startup Odin Vision
TOKYO & HAMBURG, Jun 05, 2023 - (JCN Newswire) - Olympus, a global MedTech company committed to making people's lives healthier, safer and more...
Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake | Amazon Web Services
Healthcare data is complex and siloed, and exists in various formats. An estimated 80% of data within organizations is considered to be unstructured or...
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...
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