AWS Partner Network (APN) Blog

Tag: Artificial Intelligence

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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Cognizant_AWS Solutions

Accelerating Data Warehouse Migration to Amazon Redshift Using Cognizant Intelligent Data Works

Many organizations are looking to migrate existing, on-premises enterprise data warehouse systems to cloud-based data warehouse systems such as Amazon Redshift. Here, we discuss how Cognizant’s Intelligent Migration Workbench (IMW) can be used to accelerate the data warehouse migrations while converting Oracle PL/SQL and Tetradata BTEQ scripts. IMW makes it easy to move mission critical proprietary code to AWS, giving customers competitive edge through faster time to market.

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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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Say Hello

Say Hello to 34 New AWS Competency, MSP, and Service Delivery Partners Added in April

We are excited to highlight 34 APN Partners that received new designations in April for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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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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AWS Marketplace-2

Top 10 Feature Launches in AWS Marketplace for 2018

For AWS Marketplace and our customers, 2018 was a big year. We had some exciting announcements at AWS re:Invent 2018, where we launched new categories for container products and machine learning. With 30+ new features launched in 2018 for AWS Marketplace, we wanted to highlight the top ones for you, including AWS Marketplace for Machine Learning and Containers, Consulting Partner Private Offers, Enterprise Contract for AWS Marketplace, Flexible Payment Scheduler, and more.

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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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Domino_AWS Solutions

Understanding the Data Science Life Cycle to Drive Competitive Advantage

Companies struggling with data science don’t understand the data science life cycle. As a result, they fall into the trap of the model myth. This is the mistake of thinking that because data scientists work in code, the same processes that works for building software will work for building models. Models are different, and the wrong approach leads to trouble. Domino Data Lab shares that organizations excelling at data science are those that understand it as a unique endeavor, requiring a new approach.

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