AWS Partner Network (APN) Blog

Category: Artificial Intelligence

TensorIoT_AWS Solutions

Bringing Intelligence to Industrial Manufacturing Through AWS IoT and Machine Learning

With connected IoT solutions built on AWS, businesses can be more proactive with maintenance instead of reactionary, allowing them to fix problems with machinery before they become critical. Reliance Steel & Aluminum Co. teamed up with TensorIoT to solve for this use case. Together, they built an IoT solution on AWS that ensures the maintenance needs of Reliance’s industrial machinery are anticipated and that machines can be serviced before breaking down.

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How to Use Amazon Rekognition on Cloudinary to Auto-Tag Faces with Names

Learn how to seamlessly integrate Amazon Rekognition with the Cloudinary platform, and build an application that automatically tags people in images with names. This solution learns people’s faces from photos uploaded to a “training” folder in Cloudinary. In many cases, a single photo of someone is enough for Amazon Rekognition to learn and then, later on, identify and tag that person. This works in most photograph scenes and even pictures with many other people in them.

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Healthcare-1

How to Use Amazon Rekognition and Amazon Comprehend Medical to Get the Most Out of Medical Imaging Data in Research

Medical imaging is a key part of patient health records and clinical trial workflows. Many facilities still burn medical imaging on CDs, a time-consuming and error-prone process. Ambra Health’s automatic pixel de-identification feature uses Amazon Rekognition and Amazon Comprehend Medical APIs to allow customers to de-identify images and reduce error. Now, it’s easier than ever to deploy an integrated application fabric that elevates healthcare efficiency and care.

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Amazon Forecast-1

Introducing Amazon Forecast and a Look into the Future of Time Series Prediction

Time series forecasting is a common customer need. Amazon Forecast accelerates this and is based on the same technology used at Amazon.com. This new service massively reduces the effort required to automate data updating and model retraining, and it manages this while retaining the granularity of control that data scientists will appreciate and utilize. This post explores the use of this new service for energy consumption forecasting.

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Slalom_AWS Solutions

How Slalom Created Personalized, Interactive Event Experiences Using Amazon Rekognition

Amazon Rekognition makes it easy to add highly accurate image and video analysis to your applications. The service’s core functionality allowed Slalom, an APN Premier Consulting Partner, to create three personalized, interactive experiences for attendees at REALIZE, the company’s inaugural, one-day client summit in Chicago. Dive deep into how Slalom did it, and follow along with a how-to so you can learn to do it yourself.

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How Oil & Gas is Solving Technological Limitations of Complex Reservoir Simulation with CMG and AWS

Oil and gas companies are looking beyond “easy oil” to unlock resources from more complex reservoirs. To solve this growing challenge, organizations are turning to AWS to maximize computational capacities. Computer Modelling Group Ltd. (CMG) is an APN Technology Partner whose revolutionary cloud solution provides engineers with faster simulation runs, giving them time to focus on reservoir and project analysis.

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Cognizant_AWS Solutions

Transforming Smart Buildings and Facilities with Cognizant Connected Places on AWS

In today’s increasingly digital world, the nature and function of buildings is constantly changing. Facility managers face increasing pressure to adapt to an ever-evolving workplace and regulatory requirements while improving customer comforts and reducing operating costs. Learn about Cognizant’s smart building solution and why this APN Premier Consulting Partner chose AWS for hosting its application, as well as how AWS helps Cognizant fulfill commitments to customers.

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Rekognition-1

Applying Computer Vision to Images with Amazon Rekognition, AWS Lambda, and Box Skills

Learn how to create a sample custom Box Skill by using Amazon Rekognition Image and AWS Lambda to apply computer vision to image files in Box. This new metadata allows you to quickly find images based on keyword searches, or find images that may be inappropriate and should be moderated. With services like Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Rekognition Video, and Amazon SageMaker, there’s no limit to the ways you can apply AI/ML to your media files.

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Machine Learning-4

Building the Business Case for Machine Learning in the Real World

Many organizations feel that AI will be the biggest disruptor to their industry in the next five years, and many leaders are asking if machine learning is right for their business. We offer an approach to identifying real business value using ML and discuss how to identify and quantify which use cases are the best fit for your industry and how to derive business value with the help of AWS Machine Learning Competency Partners.

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Machine Learning-3

Artificial Intelligence and Machine Learning: Going Beyond the Hype to Drive Better Business Outcomes

Do you want to become more familiar with how your company can use artificial intelligence (AI) and machine learning (ML) but feel a bit lost amongst the buzzwords and hype? Driving business outcomes with AI doesn’t need to be overwhelming. It’s all about exploring which business problems you want to solve, how good predictions can help you achieve those outcomes, and then taking practical steps to get there while implementing an organization-wide AI strategy.

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