Category: Artificial Intelligence

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with […]

Machine learning (ML) enables you to deliver more value to your customers by using your data to automate decisions and transform your business. Pre-trained ML models can speed outcomes for real-time object and person detection, optical character recognition, and other use cases. By performing inferences on an ML model in the application’s workflow, you can […]

Accounts payable (AP) processing can be a time- and resource-intensive undertaking. Automating AP processing and eliminating or reducing the need for human intervention can increase your processing efficiency while reducing the processing cost per invoice. In this blog post, John, Pawan, and I will show you how to automate AP invoice processing in your AWS […]

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 […]

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. […]

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 […]

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 […]

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 […]

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 […]

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 […]