AWS Marketplace
Category: Artificial Intelligence
Overcoming modern banking challenges with AI adoption
I recently moderated a webinar exploring AI’s transformative potential in banking. I was joined by Huard Smith, Principal Analyst at Forrester, who examined how data, AI, and innovation are reshaping the industry. This post highlights the key takeaways from the webinar, including the panel discussion.
Boost developer productivity and security with Amazon Q Developer and JumpCloud integration
In this post, we’ll show you how to enable seamless authentication to Amazon Q Developer using existing JumpCloud credentials. We’ll explain the steps for subscribing to JumpCloud, configuring it as an external IdP within AWS IAM Identity Center and enabling automatic user provisioning.
Generative AI partner offerings in AWS Marketplace: Core & Infrastructure Software
In part one of this three-part blog post series on AWS Partner offerings for generative AI in AWS Marketplace, we will explore available core and infrastructure software offerings.
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
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.
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 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
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
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
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.