AWS Marketplace
Category: Artificial Intelligence
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
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 […]
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 […]
Using the XOR Secret Computing Platform for machine learning on private data sources
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 […]
Integrating machine learning models into your Java-based microservices
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 […]
Automating your accounts payable processes with Oscar by HighIQ
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 […]
Monitoring data quality in third-party models with Amazon SageMaker Model Monitor
Building, training, and deploying machine learning models from scratch can be a time-consuming and costly endeavor for some customers. Moreover, once deployed to production, machine learning models need to be continuously monitored for deviations in model and data quality. To help you expedite model deployment and implement a model monitoring solution, you can integrate pre-trained […]
Experimenting with GPT-2 XL machine learning model package on Amazon SageMaker
New deep-learning model architectures push what’s possible in the field of natural language processing (NLP). NLP is the study of methods of processing and analysis of human language data. In machine learning (ML), transfer learning takes model parameters learned on one task and uses them as a basis for another task with some additional fine-tuning. […]
Using Amazon Augmented AI with AWS Marketplace machine learning models
Pre-trained machine learning (ML) models available in AWS Marketplace take care of the heavy lifting, helping you deliver Artificial Intelligence (AI)- and ML-powered features faster and at a lower cost. However, just like all ML models, sometimes ML model predictions are just not confident enough. You want a pair of human eyes to confirm the […]
Simplifying machine learning operations with Trifacta and Amazon SageMaker (Part 2)
This is the second article of a two-part series. Part 1 covered data preparation for machine learning (ML) by using Trifacta. Part 2 covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. Background ML provides value to business by offering accurate insights to guide business decisions. Gathering insights from ML should be […]