Favorite Arcanum specializes in digitizing Hungarian language content, including newspapers, books, maps, and art. With over 30 years of experience, Arcanum serves more than 30,000 global subscribers with access to Hungarian culture, history, and heritage. Amazon Rekognition Solutions Architects worked with Arcanum to add highly scalable image analysis to Hungaricana,
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Amazon SageMaker Studio Notebooks for exploring datasets and building models. With the new ability to launch Amazon SageMaker Studio in your Amazon
Favorite Here is an interesting video from the WHO about the use of various methods for debrief and the collection of new knowledge and lessons learned. The video describes four types of review, which they apply to health responses and emergencies, and they use the term After Action Review
Favorite Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, Amazon Fraud Detector is designed specifically to detect fraud. Amazon Fraud Detector combines your
Favorite As the volume of unstructured data such as text and voice continues to grow, businesses are increasingly looking for ways to incorporate this data into their time series predictive modeling workflows. One example use case is transcribing calls from call centers to forecast call handle times and improve call
Favorite Businesses are increasingly deploying multiple machine learning (ML) models to serve precise and accurate predictions to their consumers. Consider a media company that wants to provide recommendations to its subscribers. The company may want to employ different custom models for recommending different categories of products—such as movies, books, music,
Favorite The text below is from an article entitled Getting the most from after action reviews to improve global health security Image from wikimedia commons “Tannenbaum and Cerasoli conducted a systematic review of findings from 46 studies. Limiting their analysis to studies that reported on the impacts of AARs on “quantifiable
Favorite Here is a useful Boston Square which might help you unpack some of the assumptions behind knowledge transfer. Knowledge transfer is a term everyone uses, but often we can bring baggage and assumptions to the term. What exactly do we MEAN by transferring knowledge? How is it transferred,
Favorite If mentoring is not working for you, try dedicated learning? Image from wikimedia commons Mentoring and coaching are tried and tested ways of transferring knowledge between an older experienced person, and a younger less experienced person. However this relationship often breaks down. In a recent study for a client
Favorite There is a lot of value in a KM audit, so long as you do it regularly. In this post, I suggested that there are two types of KM surveys; the audit and the assessment. I said the first was like counting the apples in your orchard, the second
Shared by AWS Machine Learning October 24, 2020
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