Favorite You can establish feature stores to provide a central repository for machine learning (ML) features that can be shared with data science teams across your organization for training, batch scoring, and real-time inference. Data science teams can reuse features stored in the central repository, avoiding the need to reengineer
Favorite Over the past several months, a drafting team from the British Standards Institute has been writing a guide to the ISO KM standard. This guide is now available in early draft form for public review and comment. The guide will become British Standard BSI 30402, and it provides guidance
Favorite This blog post is a reprise from the archives, and concerns the question of where Knowledge comes from. In most of the Knowledge Management training courses I run, I ask the question “where does knowledge come from?” Always, every time, the first answer I get is “Experience – Knowledge
Favorite It was an honor and a privilege to attend a special event in the Bulgarian capital, Sofia, today to launch INSAIT, the Institute for Computer Science, Artificial Intelligence and Technology. INSAIT is a new AI and computer science research institute that will provide truly world-class facilities. It’s fantastic to
Favorite Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. For many organizations, Box Content Cloud is a core part of
Favorite In many industries, it’s critical to extract custom entities from documents in a timely manner. This can be challenging. Insurance claims, for example, often contain dozens of important attributes (such as dates, names, locations, and reports) sprinkled across lengthy and dense documents. Manually scanning and extracting such information can
Favorite Building a map is complex, and keeping it up-to-date is even more challenging. Think about how often your city, town or neighborhood changes on a day-to-day basis. Businesses and shops open and close, stretches of highway are added, and roadways change. In today’s Maps 101 installment, we’ll dive into
Favorite Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and identify objects in images that are specific and unique to your business. Rekognition Custom Labels doesn’t require you to have any prior computer vision expertise. You can get
Favorite Research over the past few years has shown that machine learning (ML) models are vulnerable to adversarial inputs, where an adversary can craft inputs to strategically alter the model’s output (in image classification, speech recognition, or fraud detection). For example, imagine you have deployed a model that identifies your
Favorite The built-in Amazon SageMaker XGBoost algorithm provides a managed container to run the popular XGBoost machine learning (ML) framework, with added convenience of supporting advanced training or inference features like distributed training, dataset sharding for large-scale datasets, A/B model testing, or multi-model inference endpoints. You can also extend this