Automated, scalable, and cost-effective ML on AWS: Detecting invasive Australian tree ferns in Hawaiian forests

Favorite This is blog post is co-written by Theresa Cabrera Menard, an Applied Scientist/Geographic Information Systems Specialist at The Nature Conservancy (TNC) in Hawaii. In recent years, Amazon and AWS have developed a series of sustainability initiatives with the overall goal of helping preserve the natural environment. As part of

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Shared by AWS Machine Learning March 30, 2022

Personalize cross-channel customer experiences with Amazon SageMaker, Amazon Personalize, and Twilio Segment

Favorite Today, customers interact with brands over an increasingly large digital and offline footprint, generating a wealth of interaction data known as behavioral data. As a result, marketers and customer experience teams must work with multiple overlapping tools to engage and target those customers across touchpoints. This increases complexity, creates

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Shared by AWS Machine Learning March 30, 2022

“Lift as you lead”: Meet 2 women defining responsible AI

Favorite At Google, Marian Croak’s technical research team, The Center for Responsible AI and Human-Centered Technology, and Jen Gennai’s operations and governance team, Responsible Innovation, collaborate often on creating a fairer future for AI systems. The teams complement each other to support computer scientists, UX researchers and designers, product managers

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Shared by Google AI Technology March 29, 2022

Go with the flow state: What music and AI have in common

Favorite Carrie Cai, Ben Zevenbergen and Johnny Soraker all work on developing artificial intelligence (AI) responsibly at Google, in the larger research community and across the technology industry. Carrie is a research scientist focusing on human-AI interaction, Ben is an ethicist and policy advisor and Johnny is an AI Principles

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Shared by Google AI Technology March 29, 2022

6 warning signs that your KM strategy may be in a skid.

Favorite How do you know your Knowledge Management strategy is in danger of crashing? Here are 6 signs. These 6 danger signs are from a 2009 blog post by Lucas McDonnell, reproduced as a Linked-In Pulse article in 2015, but now available only via this blog. Image from wikimedia commons 1.

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Shared by Nick Milton March 28, 2022

Improve search accuracy with Spell Checker in Amazon Kendra

Favorite Amazon Kendra is an intelligent search service powered by machine learning. You can receive spelling suggestions for misspelled terms in your queries by utilizing the Amazon Kendra Spell Checker. Spell Checker helps reduce the frequency of queries returning irrelevant results by providing spelling suggestions for unrecognized terms. In this

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Shared by AWS Machine Learning March 26, 2022

Build a mental health machine learning risk model using Amazon SageMaker Data Wrangler

Favorite This post is co-written by Shibangi Saha, Data Scientist, and Graciela Kravtzov, Co-Founder and CTO, of Equilibrium Point. Many individuals are experiencing new symptoms of mental illness, such as stress, anxiety, depression, substance use, and post-traumatic stress disorder (PTSD). According to Kaiser Family Foundation, about half of adults (47%)

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Shared by AWS Machine Learning March 26, 2022

The Check Up: our latest health AI developments

Favorite Over the years, teams across Google have focused on how technology — specifically artificial intelligence and hardware innovations — can improve access to high-quality, equitable healthcare across the globe. Accessing the right healthcare can be challenging depending on where people live and whether local caregivers have specialized equipment or

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Shared by Google AI Technology March 24, 2022

Optimize customer engagement with reinforcement learning

Favorite This is a guest post co-authored by Taylor Names, Staff Machine Learning Engineer, Dev Gupta, Machine Learning Manager, and Argie Angeleas, Senior Product Manager at Ibotta. Ibotta is an American technology company that enables users with its desktop and mobile apps to earn cash back on in-store, mobile app,

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Shared by AWS Machine Learning March 24, 2022