Category: Artificial Intelligence

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.

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.

This post shares AWS Marketplace re:Invent breakout sessions happening on Monday, November 28, along with other information.

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.

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. […]

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 […]

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 […]

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 […]

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 […]

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 […]