Category: AWS Marketplace

Maintaining multiple machine learning models across different teams can be challenging. Having a centralized platform to monitor and manage them can significantly reduce operational overhead and improve efficiency. Learn how the models trained and deployed in Amazon SageMaker can be monitored by DataRobot in a highly scalable fashion. In this way, customers can monitor both DataRobot-originated models and SageMaker-originated models under a single pane of glass.

Many institutions in financial services are in the early stages of their cloud journey. While each has their own IT landscape and cloud strategy, one question is common among many organizations: “How can I simplify my data ingest pipelines?” FactSet is a leading provider of financial services market and alternative data that can help consumers access their data in simple and scalable ways, while removing the administrative tasks that do not add value to the business.

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.

Enterprise data consumers often have difficulty discovering usable and trusted data. Learn how Collibra and AWS are collaborating to develop products and capabilities that facilitate data intelligence. Inovations include new capabilities that make it easier to migrate data and workloads to the cloud, as well as enhancements to search, collaboration, business process automation, and analytics. There are also new integrations that assist customers with data access, data governance, data quality, and observability in the cloud.

Snowflake aspires to be a leader in environmental sustainability, and its goal is to provide the best data cloud with the lowest carbon footprint on the planet. Learn how Snowflake reduced its carbon emissions footprint and improved performance efficiency by transitioning virtual warehouses to AWS Graviton-based instance types. This enabled Snowflake to reduce the carbon intensity of workloads, so it can meet customer demand sustainably even as compute requirements continue to grow.

In the public sector, organizations are ripe with opportunities to digitize their services and migrate from outdated on-premises systems to protect their data and better utilize it to make informed decisions. Learn how Baker Tilly Digital helped a government contractor develop a serverless procure-to-pay portal on AWS deployed in AWS GovCloud (US). The P2P portal helped automate vendor management, improve the pre-award capabilities, transform the purchase ordering system, and simplify invoicing.

Elastio’s integration between its Cyber Recovery as a Service (CRaaS) platform and AWS Backup is run from within the customer’s AWS account, and Elastio does not have access to view or take custody of customer data, nor does it have access to encryption keys. AWS customers control all policy details, including which account(s) to run it in, what assets to scan, and whether to automatically scan or do so on a point-in-time basis.

The AWS SaaS Factory team has supported many AWS Partners in implementing Partner-Led Growth (PLG) tactics as part of their efforts to reduce customer acquisition cost, widen their funnel, and expand globally. If you’re thinking your SaaS business is not growing fast enough, PLG may be the key to unlock your product’s potential. Everyone from boards, investors, founders, C-suite executives, and even individual team members can benefit from understanding this game-changing strategy.

Healthcare organizations must take strict measures to protect patient data, including using secure infrastructure to host applications. It’s important to remember that compliance is not just about avoiding penalties—it’s about keeping patients’ personal health information safe. Learn how a new infrastructure-as-code HIPAA-compliant environment from safeINIT is designed specifically to protect sensitive data for healthcare applications on AWS.

With the advent of high-speed 5G networks, enterprises have sought to deliver low-latency experiences across industrial Internet of Things IoT (IIoT), media and entertainment, automotive, and beyond. At the core of these low latency experiences is data. This post builds on an earlier demonstration of MongoDB Realm on AWS Wavelength by amplifying the existing architecture with new features, and shows how to use the AWS Load Balancer Controller to deploy an Application Load Balancer in front of the database.