Favorite Tens of thousands of customers rely on AWS for building machine learning (ML) applications. Customers like Airbnb and Pinterest use AWS to optimize their search recommendations, Lyft and Toyota Research Institute to develop their autonomous vehicle programs, and Capital One and Intuit to build and deploy AI-powered customer assistants.

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Shared by AWS Machine Learning May 15, 2020

Favorite As the touchpoints customers use to engage with brands move to an increasingly complex mixture of digital and real-life interactions, you’re faced with the daunting task of delighting your customers with personalized experiences that hit the mark across these channels. Customer expectations are evolving as well. Today’s customers quickly

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Shared by AWS Machine Learning May 15, 2020

Favorite Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, Amazon Fraud Detector is designed specifically to detect fraud. Amazon Fraud Detector combines your

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Shared by AWS Machine Learning May 9, 2020

Favorite For new home buyers, a common challenge is to understand how to manage their lawn needs effectively. Now imagine if you’re a farmer and have to do this for many acres of land. As a farmer, some of the challenges you’d typically face include the when (when is the

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Shared by AWS Machine Learning May 9, 2020

Favorite This is a guest blog post by Sungoh Park, a big data analyst at Lotte Mart. In their own words, “Lotte Mart, a division of Lotte Co., Ltd., is a leading South Korean retailer that sells a variety of groceries, clothing, toys, electronics, and other goods.” Consumers today have

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Shared by AWS Machine Learning May 9, 2020

Favorite The healthcare industry is a highly regulated and complex industry where a great deal of information exchange occurs via verbal communication. This audio data can contain valuable information and actionable insights. This post explores how to integrate HIPAA-eligible AWS AI services Amazon Transcribe Medical and Amazon Comprehend Medical to

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Shared by AWS Machine Learning May 9, 2020

Favorite Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection of machine learning (ML) instance types, optimized and pre-packaged Amazon SageMaker Images, and sharing of Jupyter notebooks. You can switch a notebook from using a kernel

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Shared by AWS Machine Learning May 2, 2020

Favorite Machine learning (ML) is one of the fastest growing areas in technology and a highly sought-after skill set in today’s job market. The growth of artificial intelligence is expected to create 58 million net new jobs in the next few years, according to the World Economic Forum [1]. However,

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Shared by AWS Machine Learning May 1, 2020

Favorite Many industries, including retail, manufacturing, and healthcare, are adopting IoT-enabled devices and using AI or machine learning (ML) technologies to enable such devices to make human-like decisions without human intervention. You can also apply some of the use cases involving powering IoT-enabled devices with AI/ML technologies at home. This

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Shared by AWS Machine Learning April 30, 2020

Favorite Machine Learning (ML) impacts industries around the globe, from financial services industry (FSI) and manufacturing  to autonomous vehicles and space exploration. ML is no longer just an aspirational technology exclusive to academic and research institutions; it has evolved into a mainstream technology that has the potential to benefit organizations

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Shared by AWS Machine Learning April 29, 2020