Internal competition – the KM-killer

Favorite If Knowledge Management is like gardening and the knowledge manager is like a gardener (see here to understand the metaphor), then Internal competition is like a late frost that kills all your green shoots.  Frosted by Lauryn on Flickr There is no point in planting the seeds of Knowledge

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Shared by Nick Milton July 28, 2020

Processing PDF documents with a human loop using Amazon Textract and Amazon Augmented AI

Favorite Businesses across many industries, including financial, medical, legal, and real estate, process a large number of documents for different business operations. Healthcare and life science organizations, for example, need to access data within medical records and forms to fulfill medical claims and streamline administrative processes. Amazon Textract is a

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Shared by AWS Machine Learning July 25, 2020

Enhancing your chatbot experience with web browsing

Favorite Chatbots are popping up everywhere. They are qualifying leads, assisting with sales, and automating customer service. However, conversational chatbot experiences have been limited to the space available within the chatbot window. What if these web-based chatbots could provide an interactive experience that expanded beyond the chat window to include

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Shared by AWS Machine Learning July 25, 2020

Setting up human review of your NLP-based entity recognition models with Amazon SageMaker Ground Truth, Amazon Comprehend, and Amazon A2I

Favorite Organizations across industries have a lot of unstructured data that you can evaluate to get entity-based insights. You may also want to add your own entity types unique to your business, like proprietary part codes or industry-specific terms. To create a natural language processing (NLP)-based model, you need to

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Shared by AWS Machine Learning July 24, 2020

Closing data gaps with Lacuna Fund

Favorite Machine learning has shown enormous promise for social good, whether in helping respond to global health pandemics or reach citizens before natural disasters hit. But even as machine learning technology becomes increasingly accessible, social innovators still face significant barriers in their efforts to use this technology to unlock new

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Shared by Google AI Technology July 23, 2020

Using AI to identify the aggressiveness of prostate cancer

Favorite Prostate cancer diagnoses are common, with 1 in 9 men developing prostate cancer in their lifetime. A cancer diagnosis relies on specialized doctors, called pathologists, looking at biological tissue samples under the microscope for signs of abnormality in the cells. The difficulty and subjectivity of pathology diagnoses led us

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Shared by Google AI Technology July 23, 2020