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Favorite Do you want to monitor your business metrics and detect anomalies in your existing streaming data pipelines? Amazon Lookout for Metrics is a service that uses machine learning (ML) to detect anomalies in your time series data. The service goes beyond simple anomaly detection. It allows developers to set
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Shared by AWS Machine Learning August 3, 2021
Favorite Regardless of the industry or product, customers are the most important component in a business’s success and growth. Businesses go to great lengths to acquire and more importantly retain their existing customers. Customer satisfaction links directly to revenue growth, business credibility, and reputation. These are all key factors in
Read More Shared by AWS Machine Learning July 31, 2021
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With
Read More Shared by AWS Machine Learning July 30, 2021
Favorite 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,
Read More Shared by AWS Machine Learning July 29, 2021
Favorite 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
Read More Shared by AWS Machine Learning July 28, 2021
Favorite 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
Read More Shared by AWS Machine Learning July 28, 2021
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
Read More Shared by AWS Machine Learning July 27, 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