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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
Read More Shared by AWS Machine Learning May 15, 2020
Favorite My parents were small business owners in the U.S. Virgin Islands where I grew up. They taught me that, though advertising is important, personal relationships are the best way to get new customers and grow your business. When I started working at Google 14 years ago, online advertising was
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Shared by Google AI Technology May 14, 2020
Favorite During their early studies and careers, Tiffany Deng, Tulsee Doshi and Timnit Gebru found themselves asking the same questions: Why is it that some products and services work better for some than others, and why isn’t everyone represented around the table when a decision is being made? Their collective
Read More Shared by Google AI Technology May 12, 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
Read More 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
Read More 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
Read More 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
Read More Shared by AWS Machine Learning May 9, 2020
Favorite Artificial Intelligence systems can recognize our voices, forecast the weather and help decide who gets a loan. Given the increasing ubiquity of AI, it’s important that everyone is able to understand more about it. Like any system or technology, AI doesn’t always get it right. And understanding why AI
Read More Shared by Google AI Technology May 7, 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
Read More Shared by AWS Machine Learning May 2, 2020