AWS Marketplace

Category: Artificial Intelligence

New Single Pane of Glass (SPG) dashboard for AWS Marketplace buyers

Simplify AWS Marketplace activity visualization with a single pane of glass

In this post, Ramya and I introduce you to the new SPG dashboard as a single pane of glass for your Marketplace transactions. You can view this dashboard without having AWS Identity and Access Management (IAM) permissions or technical proficiency on the underlying AWS services. We show how you can use the SPG dashboard for a simplified view of your AWS Marketplace subscriptions for spend management and usage tracking.

Transform enterprise search and knowledge discovery with Glean and Amazon Bedrock

Transform enterprise search and knowledge discovery with Glean and Amazon Bedrock

In this blog post, we introduce you to Glean – an enterprise-ready search and knowledge discovery solution that’s tailor-made for the enterprise workplace. Glean has been adopted by leading enterprise customers, including Databricks, Okta, and Grammarly, to solve their internal search and knowledge discovery needs. Now available in AWS Marketplace, Glean uses powerful large language models (LLMs) hosted by Amazon Bedrock to deliver generative AI solutions to the millions of customers building on AWS.

Using PredictHQ data from AWS Data Exchange for demand forecasting

Food supply chain optimization using PredictHQ intelligent event data from AWS Data Exchange for demand forecasting

In this post, we will show how it may be possible to avoid wastage and better forecast food needs using PredictHQ’s dataset with  Amazon Forecast and other machine learning services.

Using HiPaaS to convert your data to FHIR AWS HealthLake

Using HiPaaS to convert your data to FHIR to use with AWS HealthLake

In this blog post, Sandeep, Malini, Bakha, and Aparna will show how to convert your healthcare data to FHIR format and load it into AWS HealthLake using HiPaaS FHIR data converter solution. This solution enables you to access and manage the data from various sources without the need for manual data entry or reconciliation.

Masking Patient Data with DataMasque's template for Amazon HealthLake

Masking Patient Data with DataMasque’s template for Amazon HealthLake

In this post, Brian, Snehanshu, and I’ll show you how to mask healthcare data for regulatory compliance using Amazon HealthLake and DataMasque.

Track machine learning experiments using InfinStor MLflow with Amazon SageMaker Studio

Track machine learning experiments using InfinStor MLflow with Amazon SageMaker Studio

In this post, I show how to use InfinStor MLflow with Amazon SageMaker Studio to experiment, collaborate, train, and run inferences using this ML platform. With this solution, you do not need to write special code for experiment tracking or model management. You can also share experiments and models with authorized colleagues. SageMaker Studio provides the Notebook and remote IPython kernel portion of the solution, and InfinStor MLflow provides the experiment tracking and model management.

Modernize insurance with AWS Marketplace

Modernize insurance with AWS Marketplace

In this blog post, I highlight success stories featuring solutions available in AWS Marketplace. Industry experts from Generali Thailand, an insurance firm, and C2L BIZ Solutions Pvt. Ltd., an insurance technology firm, share their business challenges and the business impact of using solutions available in AWS Marketplace.

How to discover and use Open Data on AWS Data Exchange

How to discover and use Open Data on AWS Data Exchange

In this blog post, Jeff, Mike, and I will show you how to discover and use no-cost open data datasets on AWS Data Exchange. We will also show you how to enrich the open data with a paid dataset and how to import these datasets into Amazon SageMaker and do an analysis against them.

Omdia study: how the media and entertainment industry uses cloud marketplace solutions

Omdia study: how the media and entertainment industry uses cloud marketplace solutions

In the past two years, use of media has changed considerably. Media production companies had to accelerate their adoption of cloud-based infrastructure and technologies to support the shift to home consumption and remote work. As this shift occurs, media providers are looking to diversify revenue streams to take better advantage of consumer spending for entertainment. […]