A Technology Broker and Management Company Specializing in KM Systems
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
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
Read More Shared by AWS Machine Learning July 24, 2020
Favorite Amazon Textract is a machine learning (ML) service that makes it easy to extract text and data from scanned documents. Textract goes beyond simple optical character recognition (OCR) to identify the contents of fields in forms and information stored in tables. This allows you to use Amazon Textract to
Read More Shared by AWS Machine Learning July 23, 2020
Favorite As solutions architects working in Brazil, we often translate technical content from English to other languages. Doing so manually takes a lot of time, especially when dealing with presentations—in contrast to plain text documents, their content is spread across various areas in multiple slides. To solve that, we wrote
Read More Shared by AWS Machine Learning July 22, 2020
Favorite In this post you will compile an open-source TensorFlow version of OpenPose using AWS Neuron and fine tune its inference performance for AWS Inferentia based instances. You will set up a benchmarking environment, measure the image processing pipeline throughput, and quantify the price-performance improvements as compared to a GPU
Read More Shared by AWS Machine Learning July 22, 2020
Favorite When you build models with the Apache MXNet deep learning framework, you can take advantage of the expansive model zoo provided by GluonCV to quickly train state-of-the-art computer vision algorithms for image and video processing. A typical development environment for training consists of a Jupyter notebook hosted on a
Read More Shared by AWS Machine Learning July 22, 2020
Favorite 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
Read More Shared by AWS Machine Learning July 22, 2020
Favorite In this post, we demonstrate how to use Amazon Comprehend Medical to extract medication names and medical conditions to monitor drug safety and adverse events. Amazon Comprehend Medical is a natural language processing (NLP) service that uses machine learning (ML) to easily extract relevant medical information from unstructured text. We query
Read More Shared by AWS Machine Learning July 21, 2020
Favorite This post is co-written by Femi Olumofin, an analytics architect at Infoblox. In the same way that you can conveniently recognize someone by name instead of government-issued ID or telephone number, the Domain Name System (DNS) provides a convenient means for naming and reaching internet services or resources behind
Read More Shared by AWS Machine Learning July 21, 2020
Favorite This is a guest post co-written by Sergio Delgado from YoucanBook.me. In their own words, “YouCanBook.me is a small, independent and fully remote team, who love solving scheduling problems all over the world.” At YoucanBook.me, we like to say that we’re “a small company that does great things.” Many
Read More Shared by AWS Machine Learning July 21, 2020