Artificial Intelligence

Category: Intermediate (200)

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more. With access to massive amounts of data, LLMs have the potential to revolutionize the way we […]

Overcome the machine learning cold start challenge in fraud detection using Amazon Fraud Detector

As more businesses increase their online presence to serve their customers better, new fraud patterns are constantly emerging. In today’s ever-evolving digital landscape, where fraudsters are becoming more sophisticated in their tactics, detecting and preventing such fraudulent activities has become paramount for companies and financial institutions. Traditional rule-based fraud detection systems are capped in their […]

Solution architecture overview

Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

This is a guest post co-written with Moulham Zahabi from Matarat. Probably everyone has checked their baggage when flying, and waited anxiously for their bags to appear at the carousel. Successful and timely delivery of your bags depends on a massive infrastructure called the baggage handling system (BHS). This infrastructure is one of the key […]

Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. These customers verify user identity by matching the user’s face in a selfie captured by a device camera with a government-issued identity card photo or preestablished profile photo. They […]

Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

Amazon SageMaker Studio can help you build, train, debug, deploy, and monitor your models and manage your machine learning (ML) workflows. Amazon SageMaker Pipelines enables you to build a secure, scalable, and flexible MLOps platform within Studio. In this post, we explain how to run PySpark processing jobs within a pipeline. This enables anyone that […]

Create your RStudio on Amazon SageMaker licensed or trial environment in three easy steps

RStudio on Amazon SageMaker is the first fully managed cloud-based Posit Workbench (formerly known as RStudio Workbench). RStudio on Amazon SageMaker removes the need for you to manage the underlying Posit Workbench infrastructure, so your teams can concentrate on producing value for your business. You can quickly launch the familiar RStudio integrated development environment (IDE) […]

Promote search content using Featured Results for Amazon Kendra

Amazon Kendra is an intelligent search service powered by machine learning (ML). We are excited to announce the launch of Amazon Kendra Featured Results. This new feature makes specific documents or content appear at the top of the search results page whenever a user issues a certain query. You can use Featured Results to improve […]

Automatic image cropping with Amazon Rekognition

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Many publishers have a large library of stock images that they use for their articles. These images can be reused many times for different stories, especially when the […]

Automate and implement version control for Amazon Kendra FAQs

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra FAQs allow users to upload […]

Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS

In football, ball possession is a strong predictor for team success. It’s hard to control the game without having control over the ball. In the past three Bundesliga seasons, as well as in the current season (at the time of this writing), Bayern Munich is ranked first in the table and in ball possession percentage, […]