AWS Machine Learning Blog
Tag: AWS Customer
How Kabbage improved the PPP lending experience with Amazon Textract
This is a guest post by Anthony Sabelli, Head of Data Science at Kabbage, a data and technology company providing small business cash flow solutions. Kabbage is a data and technology company providing small business cash flow solutions. One way in which we serve our customers is by providing them access to flexible lines of […]
RENGA Inc. automates code reviews with Amazon CodeGuru
This guest post was authored by Kazuma Ohara, Director of RENGA Inc., and edited by Yumiko Kanasugi, Solutions Architect at AWS Japan. RENGA Inc. operates Mansion Note, one of Japan’s most popular condominium review and rating websites, which gets over a million unique visitors per month. Mansion Note provides a service where people can check […]
How DevFactory builds better applications with Amazon CodeGuru
This post is written in collaboration with DevFactory, an AWS Select Technology Partner. DevFactory is an enterprise SaaS-focused company that is responsible for innovation, development, and operation of over 120 enterprise products. DevFactory also offers DevGraph, an integrated suite of software development tools built on AWS. Amazon CodeGuru is an automated code review service that […]
The fastest driver in Formula 1
This blog post was co-authored, and includes an introduction, by Rob Smedley, Director of Data Systems at Formula 1 Formula 1 (F1) racing is the most complex sport in the world. It is the blended perfection of human and machine that create the winning formula. It is this blend that makes F1 racing, or more […]
How Citibot’s chatbot search engine uses AI to find more answers
Citibot is a technology company that builds AI-powered chat solutions for local governments such as Fort Worth, Texas; Charleston, South Carolina; and Arlington, Virginia. With Citibot, local residents can quickly get answers to city-related questions, report issues, and receive real-time alerts via text responses. To power these interactions, Citibot uses Amazon Lex, a service for building conversational interfaces for text and voice applications. Citibot built the chatbot to handle basic call queries, which allows government employees to allocate more time to higher-impact community actions.
Expanding scientific portfolios and adapting to a changing world with Amazon Personalize
This is a guest blog post by David A. Smith at Thermo Fisher. In their own words, “Thermo Fisher Scientific is the world leader in serving science. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving […]
Optimizing your engagement marketing with personalized recommendations using Amazon Personalize and Braze
Today’s marketer has a wide array of channels to communicate with their customers. However, sending the right message to the right customer on the right channel at the right time remains the preeminent challenge marketers face. In this post, I show you how to combine Braze, a customer engagement platform built on AWS for today’s […]
How SNCF Réseau and Olexya migrated a Caffe2 vision pipeline to Managed Spot Training in Amazon SageMaker
This blog post is co-written by guest authors from SNCF and Olexya. Transportation and logistics are fertile ground for machine learning (ML). In this post, we show how the French state-owned railway company Société Nationale des Chemins de fer Français (SNCF) uses ML from AWS with the help of its technology partner Olexya to research, […]
Increasing engagement with personalized online sports content
This is a guest post by Mark Wood at Pulselive. In their own words, “Pulselive, based out of the UK, is the proud digital partner to some of the biggest names in sports.” At Pulselive, we create experiences sports fans can’t live without; whether that’s the official Cricket World Cup website or the English Premier […]
Atlassian continuously profiles services in production with Amazon CodeGuru Profiler
This is a guest post by the Jira Cloud Performance Team at Atlassian. In their own words, Atlassian’s mission is to unleash the potential in every team. Our products help teams organize, discuss, and complete their work. And what teams do can change the world. We have helped NASA teams design the Mars Rover, Cochlear teams develop […]