AWS Marketplace

Category: Artificial Intelligence

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. […]

right sizing sagemaker endpoints

Rightsizing Amazon SageMaker endpoints

As AWS consultants, Victor and I often get asked about recommendations on the right instance configuration to use for real-time inference. Finding the correct instance size to host your trained machine learning (ML) models might be a challenging task. However, choosing the right instance and auto scaling configuration can help reduce model serving costs without […]

decade of innovating with AWS Marketplace

A decade of innovating with AWS Marketplace

Ten years ago today, we launched AWS Marketplace to give builders a simple ecommerce experience to find, buy, and deploy software that runs on AWS. With just a few clicks, builders could find machine images pre-built with multiple operating systems, web servers, network firewalls, databases, content management systems, and more. They could then buy those […]

active learning machine learning concept

Use active learning to build a usable machine learning model faster

Many businesses are now adopting machine learning (ML) as a mainstream method of augmenting processes and building efficient systems. You can use active learning to get to an acceptable and working version of your ML model much faster. This post is a summary of the joint webinar with Mphasis and AWS Marketplace, Want to build […]

secure access concept

Securing access and optimizing applications on AWS using Prosimo AXI

As you shift your workloads to AWS, you must ensure that access to them is seamless, secure, and optimized for your employees, remote workers, and contractors. When looking at workload access, you should consider the type of user, whether the access is from a managed or unmanaged device, and whether the location is well known […]

call center concept bespoken

Contact center testing, training, and monitoring with Bespoken

For customers building modern contact-center systems with Amazon Connect and Amazon Lex, quality is paramount. High-quality, accurate systems ensure that users aren’t frustrated and increase customer satisfaction (CSAT) as well as first-call resolution (FCR) rates. But it’s expensive and time-consuming to ensure modern Interactive Voice Response (IVR) and Intelligent Virtual Agent (IVA) systems are working […]

Using Shutterstock's image datasets to train your computer vision models

Using Shutterstock’s image datasets to train your computer vision models

Image classification and object detection technology allows you to build scalable artificial intelligence models for business cases like visual search, product recommendations, autonomous vehicle object recognition, content moderation, and more. Today, services like Amazon Rekognition offer APIs to perform image analysis and object recognition. However, if your use case requires a more custom image classification […]

Implicit BPR improving recommendations

Improving personalized ranking in recommender systems with Implicit BPR and Amazon SageMaker

A recommender system is an automated software mechanism that uses algorithms and data to personalize product discovery for a particular user. Its essential task is to help users discover the most relevant items within an often-unmanageable set of choices. These days, recommender systems are employed in diverse domains to promote products on e-commerce sites, such […]