Favorite Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched at AWS re:Invent 2018, Amazon SageMaker RL helps you quickly build, train, and deploy policies learned by RL. Ray is an open-source distributed execution framework that
Favorite HBR have published a case study showing the impact of simple structured knowledge sharing meetings. Although the article is entitled “how virtual teams can better share knowledge”, the study was held using face to face knowledge transfer meetings, pre-Covid. The study attempted to test whether incentives or structure were
Favorite Support tickets, customer feedback forms, user surveys, product feedback, and forum posts are some of the documents that businesses collect from their customers and employees. The applications used to collect these case documents typically include incident management systems, social media channels, customer forums, and email. Routing these cases quickly
Favorite Machine learning (ML) models have long been considered black boxes because predictions from these models are hard to interpret. However, recently, several frameworks aiming at explaining ML models were proposed. Model interpretation can be divided into local and global explanations. A local explanation considers a single sample and answers
Favorite Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra provides native connectors for popular data sources like Amazon Simple Storage Service (Amazon S3), SharePoint, ServiceNow, OneDrive, Salesforce, and Confluence so you can easily add data from different content repositories and
Favorite What does an organisation look like, when it is fully engaged with Knowledge Management? What will the After shot of the KM make-over look like? House Makeover, from wikimedia commons Introducing KM is an organisational makeover. The “After” shot will not resemble the “Before” shot. If KM is to
Favorite High-quality machine learning (ML) models depend on accurately labeled, high-quality training, validation, and test data. As ML and deep learning models are increasingly integrated into production environments, it’s becoming more important than ever to have customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data. For
Favorite Easier to share can mean harder to learn Image from wikimedia commons A common mistake companies often make when it comes to setting up knowledge sharing systems is to make it as easy as possible for people to share. I know that doesn’t sound like a mistake, but let
Favorite Due to Indonesia’s vast size and population, timely and reliable access to healthcare can sometimes be a challenge. Halodoc aims to change that with a mobile first-telemedicine platform that connects Indonesians to doctors and helps them arrange appointments, medicine deliveries and tests. What’s distinctive about the Halodoc platform is
Favorite There have been breakthroughs in understanding COVID-19, such as how soon an exposed person will develop symptoms and how many people on average will contract the disease after contact with an exposed individual. The wider research community is actively working on accurately predicting the percent population who are exposed,
Shared by AWS Machine Learning November 5, 2020
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