AWS Marketplace
Optimize data analytics in capital markets with time-series databases
Capital markets firms use vast amounts of historical and streaming market data to perform real-time analytics. They also use data to inform decision-making, from projecting asset-pricing movement and fund values to calculating risk assessments. However, traditional on-premises relational databases and data management systems can fall short on delivering the functionality, agility, speed, and cost efficiency […]
Automating updates to your Single AMI listings in AWS Marketplace with Catalog API
In this post, I showed how to use Catalog API to update your AMI listings. I showed how to update product details, describe the update status, add a new AMI version, and describe AMI details. I also showed how to update AMI version details and restrict an AMI version.
Using the XOR Secret Computing Platform for machine learning on private data sources
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 […]
Increasing observability in your AWS Control Tower landing zone with Dynatrace
AWS recommends that customers adopt a multi-account strategy as a best practice to achieve higher isolation of resources and help meet security, regulatory, and compliance needs. Customers must address questions around tracking their operational cost, identify security improvements, and ensure reliability and performance efficiency. Full-stack observability offers the troubleshooting tools needed, regardless of where problems […]
Integrating machine learning models into your Java-based microservices
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 […]
How to support healthcare modernization with Cloud PACS using AWS Marketplace
In this blog post, I will share the key takeaways from the AWS webinar, How to support modernization with Cloud PACS through AWS Marketplace. I will show how healthcare organizations are using cloud-native picture archiving and communication system (PACS) solutions and how AWS Marketplace can help accelerate your time to value with PACS solutions. AWS […]
Automating your accounts payable processes with Oscar by HighIQ
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 […]
Integrating Okta with AWS Single Sign-On in an AWS Control Tower environment
AWS Control Tower provides a ready-to-use native integration with AWS Single Sign-On (AWS SSO) to manage users, roles, and multi-account access. Some customers’ organizations have more complex SSO requirements, including integrating with external identity providers to handle authentication and authorization. Okta is an enterprise-grade identity management service that is built for the cloud, but is […]
Creating customized data products on AWS Data Exchange
Companies are increasingly turning to third-party data to enhance their own data and discover new insights. AWS Data Exchange makes it easier for them to find, subscribe to, and use third-party data in the cloud. While many data subscribers are looking for data products they can immediately purchase and deploy as is, there are many […]
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 […]