A Technology Broker and Management Company Specializing in KM Systems
The ability to scale machine learning operations (MLOps) at an enterprise is quickly becoming a competitive advantage in the modern economy. When firms started dabbling in ML, only the highest priority use cases were the focus. Businesses are now demanding more from ML practitioners: more intelligent features, delivered faster, and
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Shared by AWS Machine Learning July 29, 2021
In 2019, our Quantum AI team achieved a beyond-classical computation by outperforming the world’s fastest classical computer. Today, a quantum processor from the Sycamore generation that accomplished this important computing milestone will be donated to the Deutsches Museum of Masterpieces of Science and Technology in Munich, Germany. The Deutsches Museum
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Shared by Google AI Technology July 28, 2021
There are multiple scenarios in which you may want to use computer vision to detect small objects or symbols within a given image. Whether it’s detecting company logos on grocery store shelves to manage inventory, detecting informative symbols on documents, or evaluating survey or quiz documents that contain checkmarks or
Read More Shared by AWS Machine Learning July 28, 2021
Receipts and invoices are documents that are critical to small and medium businesses (SMBs), startups, and enterprises for managing their accounts payable processes. These types of documents are difficult to process at scale because they follow no set design rules, yet any individual customer encounters thousands of distinct types of
Read More Shared by AWS Machine Learning July 28, 2021
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 is
Read More Shared by AWS Machine Learning July 27, 2021
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 are
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Shared by Nick Milton July 26, 2021
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 need
Read More Shared by AWS Machine Learning July 24, 2021
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 stable
Read More Shared by AWS Machine Learning July 23, 2021
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 stored
Read More Shared by AWS Machine Learning July 23, 2021
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 dataset.
Read More Shared by AWS Machine Learning July 23, 2021
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