Category: Artificial Intelligence

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 […]

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 […]

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 […]

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with […]

Machine learning (ML) enables you to deliver more value to your customers by using your data to automate decisions and transform your business. Pre-trained ML models can speed outcomes for real-time object and person detection, optical character recognition, and other use cases. By performing inferences on an ML model in the application’s workflow, you can […]

Accounts payable (AP) processing can be a time- and resource-intensive undertaking. Automating AP processing and eliminating or reducing the need for human intervention can increase your processing efficiency while reducing the processing cost per invoice. In this blog post, John, Pawan, and I will show you how to automate AP invoice processing in your AWS […]