AWS Marketplace
Category: Artificial Intelligence
Monitoring data quality in third-party models with Amazon SageMaker Model Monitor
Building, training, and deploying machine learning models from scratch can be a time-consuming and costly endeavor for some customers. Moreover, once deployed to production, machine learning models need to be continuously monitored for deviations in model and data quality. To help you expedite model deployment and implement a model monitoring solution, you can integrate pre-trained […]
Experimenting with GPT-2 XL machine learning model package on Amazon SageMaker
New deep-learning model architectures push what’s possible in the field of natural language processing (NLP). NLP is the study of methods of processing and analysis of human language data. In machine learning (ML), transfer learning takes model parameters learned on one task and uses them as a basis for another task with some additional fine-tuning. […]
Using Amazon Augmented AI with AWS Marketplace machine learning models
Pre-trained machine learning (ML) models available in AWS Marketplace take care of the heavy lifting, helping you deliver Artificial Intelligence (AI)- and ML-powered features faster and at a lower cost. However, just like all ML models, sometimes ML model predictions are just not confident enough. You want a pair of human eyes to confirm the […]
Simplifying machine learning operations with Trifacta and Amazon SageMaker (Part 2)
This is the second article of a two-part series. Part 1 covered data preparation for machine learning (ML) by using Trifacta. Part 2 covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. Background ML provides value to business by offering accurate insights to guide business decisions. Gathering insights from ML should be […]
Simplifying MLOps and improving model accuracy with Trifacta and Amazon SageMaker (Part 1)
This is the first blog post of a two-part series. Part 1 covers data preparation for machine learning (ML) using Trifacta, available in AWS Marketplace. Part 2, Simplifying machine learning operations with Trifacta and Amazon SageMaker, covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. In the past decade, advancements in machine […]
Building machine learning solutions faster with the NVIDIA NGC catalog in AWS Marketplace
Machine learning (ML) has transformed many industries as organizations adopt Artificial Intelligence (AI) to improve their operational efficiencies, increase customer satisfaction, and gain a competitive edge. However, the process of training, optimizing, and running ML models to build AI-powered applications is complex and requires expertise. The NVIDIA NGC catalog provides graphics processing unit (GPU)-optimized AI […]
AWS Marketplace at re:Invent, week of December 14
Here are AWS Marketplace sessions you can register for and view at re:Invent this week! Each session is held three times, in Pacific Standard Time (PST), Singapore Standard Time (SST), and London Greenwich Mean Time (GMT) time zones. Be sure to check the linked catalog listing, as dates and times may change. MKT208: Use data […]
Using TorchServe to list PyTorch models at scale in AWS Marketplace
Recently, AWS announced the release of TorchServe, a PyTorch open-source project in collaboration with Facebook. PyTorch is an open-source machine learning framework created by Facebook, which is popular among ML researchers and data scientists. Despite its ease of use and “Pythonic” interface, deploying and managing models in production is still difficult as it requires data scientists to […]
How to automate Personal Protective Equipment monitoring for healthcare and life science workplaces
By guest authors Anton Chudaev, DevOps Competence Manager at VITech, Yevheniia Minaieva, Product marketing lead at VITech Lab, and Dmitry Spodarets, Head of VITech Lab When managing Personal Protective Equipment (PPЕ) compliance, temporary absence of safety engineers and human fatigue can lead to unnoticed safety rule breaches. VITech Lab offers a solution to help healthcare […]
How to try a product demo of a machine learning model from AWS Marketplace without subscribing to it
During my interactions, I hear feedback from builders on how they are looking to test drive machine learning (ML) models quickly. AWS Marketplace makes it easy to find, try, buy, and deploy ML models, which are deployed using Amazon SageMaker. I’m pleased to announce that the Try Product demo feature is now available. This feature lets […]