Scale session-aware real-time product recommendations on Shopify with Amazon Personalize and Amazon EventBridge

Favorite This is a guest post by Jeff McKelvey, Principal Development Lead at HiConversion. The team at HiConversion has collaborated closely with James Jory, Applied AI Services Solutions Architect at AWS, and Matt Chwastek, Senior Product Manager for Amazon Personalize at AWS. In their own words, “HiConversion is the eCommerce

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Shared by AWS Machine Learning April 30, 2021

Should we treat KM implementation as a project?

Favorite Does KM have to be a project? We argue that it does. Image from wikimedia commons Implementing KM means building something new within your organisation. A new management framework, a new way of working, a new set of behaviours and attitudes. The work is not done when implementation is

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Shared by Nick Milton April 30, 2021

When artists and machine intelligence come together

Favorite Throughout history, from photography to video to hypertext, artists have pushed the expressive limits of new technologies, and artificial intelligence is no exception. At I/O 2019, Google Research and Google Arts & Culture launched the Artists + Machine Intelligence Grants, providing a range of support and technical mentorship to

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Shared by Google AI Technology April 28, 2021

AWS DeepRacer device software now open source

Favorite AWS DeepRacer is the fastest way to get started with machine learning (ML). You can train reinforcement learning (RL) models by using a 1/18th scale autonomous vehicle in a cloud-based virtual simulator and compete for prizes and glory in the global AWS DeepRacer League. Today, we’re expanding AWS DeepRacer’s

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Shared by AWS Machine Learning April 28, 2021

Intelligent governance of document processing pipelines for regulated industries

Favorite Processing large documents like PDFs and static images is a cornerstone of today’s highly regulated industries. From healthcare information like doctor-patient visits and bills of health, to financial documents like loan applications, tax filings, research reports, and regulatory filings, these documents are integral to how these industries conduct business.

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Shared by AWS Machine Learning April 28, 2021

Monitor and Manage Anomaly Detection Models on a fleet of Wind Turbines with Amazon SageMaker Edge Manager

Favorite In industrial IoT, running machine learning (ML) models on edge devices is necessary for many use cases, such as predictive maintenance, quality improvement, real-time monitoring, process optimization, and security. The energy industry, for instance, invests heavily in ML to automate power delivery, monitor consumption, optimize efficiency, and extend the

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Shared by AWS Machine Learning April 27, 2021

Cognitive document processing for automated mortgage processing

Favorite This post was guest authored by AWS Advanced Consulting Partner Quantiphi. The mortgage industry is highly complex and largely dependent on documents for the information required across different stages in their business value chain. Day-to-day operations for mortgage underwriting, property appraisal, and mortgage insurance underwriting are heavily dependent on

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Shared by AWS Machine Learning April 24, 2021