A Technology Broker and Management Company Specializing in KM Systems
Favorite The world we live in is constantly changing, and so is the data that is collected to build models. One of the problems that is often seen in production environments is that the deployed model doesn’t behave the same way as it did during the training phase. This concept
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Shared by AWS Machine Learning July 27, 2021
Favorite We often approach leaders and try to sell KM on the benefits it will deliver to their staff, forgetting that leaders are knowledge workers too. The Manager by MaxTortt on Flickr If we think of knowledge workers are “people who make decisions for a living”, then managers and leaders
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Shared by Nick Milton July 26, 2021
Favorite With machine learning (ML), more powerful technologies have become available that can automate the task of detecting visual anomalies in a product. However, implementing such ML solutions is time-consuming and expensive because it involves managing and setting up complex infrastructure and having the right ML skills. Furthermore, ML applications
Read More Shared by AWS Machine Learning July 24, 2021
Favorite This is a guest post authored by Paul Ngo, US Gas Technical and Operational Services Data Team Lead at TC Energy. TC Energy operates a network of pipelines, including 57,900 miles of natural gas and 3,000 miles of oil and liquid pipelines, throughout North America. TC Energy enables a
Read More Shared by AWS Machine Learning July 23, 2021
Favorite For the past few decades, physician burnout has been a challenge in the healthcare industry. Although patient interaction and diagnosis are critical aspects of a physician’s job, administrative tasks are equally taxing and time-consuming. Physicians and clinicians must keep a detailed medical record for each patient. That record is
Read More Shared by AWS Machine Learning July 23, 2021
Favorite Every machine learning (ML) model demands data to train it. If your model isn’t predicting Titanic survival or iris species, then acquiring a dataset might be one of the most time-consuming parts of your model-building process—second only to data cleaning. What data cleaning looks like varies from dataset to
Read More Shared by AWS Machine Learning July 23, 2021
Favorite Cities across the world are transforming their public services infrastructure with the mission of enhancing the quality of life of its residents. Roads and traffic management systems are part of the central nervous system of every city. They need intelligent monitoring and automation in order to prevent substantial productivity
Read More Shared by AWS Machine Learning July 22, 2021
Favorite For a supervised machine learning (ML) problem, labels are values expected to be learned and predicted by a model. To obtain accurate labels, ML practitioners can either record them in real time or conduct offline data annotation, which are activities that assign labels to the dataset based on human
Read More Shared by AWS Machine Learning July 22, 2021
Favorite Have you noticed that your shopping preferences are influenced by the weather? For example, on hot days would you rather drink a lemonade vs. a hot coffee? Customers from consumer-packaged goods (CPG) and retail industries wanted to better understand how weather conditions like temperature and rain can be used
Read More Shared by AWS Machine Learning July 21, 2021
Favorite You might use traditional methods to forecast future business outcomes, but these traditional methods are often not flexible enough to account for varying factors, such as weather or promotions, outside of the traditional time series data considered. With the advancement of machine learning (ML) and the elasticity that the
Read More Shared by AWS Machine Learning July 21, 2021