Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921536Time Stamp: Dec 5, 2023
Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1917092Time Stamp: Nov 24, 2023
Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1914114Time Stamp: Nov 16, 2023
Implement real-time personalized recommendations using Amazon Personalize | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1913006Time Stamp: Nov 13, 2023
MAS Public Cloud Guidelines: A Deep Dive into its Impact on Cloud Security – Fintech Singapore Source Cluster: Fintechnews Singapore Source Node: 1911534Time Stamp: Nov 9, 2023
Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1911374Time Stamp: Nov 9, 2023
Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga? | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1909085Time Stamp: Nov 3, 2023
Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1903180Time Stamp: Oct 18, 2023
Robust time series forecasting with MLOps on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1895960Time Stamp: Sep 28, 2023
Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1891400Time Stamp: Sep 18, 2023
Build a classification pipeline with Amazon Comprehend custom classification (Part I) | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1889550Time Stamp: Sep 14, 2023
Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1888314Time Stamp: Sep 11, 2023
MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1882129Time Stamp: Aug 29, 2023
Generate creative advertising using generative AI deployed on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1873281Time Stamp: Aug 9, 2023
AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1872582Time Stamp: Aug 7, 2023
Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1870831Time Stamp: Aug 3, 2023
Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1870506Time Stamp: Aug 2, 2023
Retain original PDF formatting to view translated documents with Amazon Textract, Amazon Translate, and PDFBox | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1855362Time Stamp: Jul 3, 2023
Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1847131Time Stamp: Jun 12, 2023
Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1845404Time Stamp: Jun 8, 2023