AWS Partner Network (APN) Blog

Category: Amazon Machine Learning

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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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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AWS Big Data

AWS Analytics Services Explained: From Data Lakes to Machine Learning

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

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Machine Learning-3

Training Machine Learning Models in Pharma and Biotech Manufacturing with Bigfinite

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Bigfinite is an APN Standard Technology Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

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Machine Learning-3

4 Steps to Train and Deploy Machine Learning Models on AWS Using H2O

H2O is an open source data machine learning platform that provides a flexible, user-friendly tool to help data scientists and machine learning practitioners. It was created by H2O.ai, an APN Advanced Partner with the AWS Machine Learning Competency. In this post, we look at setting up an H2O cluster, import data from Amazon S3, create an AWS Lambda deployment package from the model, and finally deploy a RESTful endpoint. Following these steps, you can migrate your H2O Flows to AWS in about 10 minutes.

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Machine Learning Competency Launch

Customer Success Stories from AWS Machine Learning Competency Partners

At the AWS London Summit, we announced the new AWS Machine Learning Competency Program for APN Consulting Partners. Launch Partners in this program have deep expertise and proven customer success in Machine Learning on AWS, and we are excited to showcase some of their stories. The AWS Competency Program helps customers identify and choose the top APN Partner for their AWS projects and workloads.

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SageMaker

Integrating with Amazon SageMaker: Using Built-In Algorithms from External Applications

We are often asked how to integrate software with Amazon SageMaker and use the service’s built-in machine learning algorithms. In this post, we discuss how to use the training capabilities of Amazon SageMaker to leverage its built-in algorithms. The types of applications that can integrate with Amazon SageMaker are data science platforms, business intelligence tools, or any application that needs to use machine learning behind the scenes.

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Solution Space-2

New AWS Solution Space Launches with 10 Customer-Ready Solutions

AWS Solution Space allows AWS Competency Partners to showcase customer-ready solutions based on architectures validated by AWS. These are quick, cost effective, repeatable solutions meant to create new business leading to production workloads. Customers can also request AWS support for launching each solution. At launch, we are featuring 10 customer-ready solutions: 5 for Big Data, 3 for Machine Learning, one for Security, and one for End User Computing.

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New Training Courses Available: Introduction to Machine Learning & Deep Learning on AWS

AWS Training and Certification offers guidance to APN Partners so you can more effectively help customers leverage the AWS Cloud. We have two new courses to help you learn more about artificial intelligence solutions using AWS: Introduction to Machine Learning web-based training and Deep Learning on AWS instructor-led training. If you are looking to learn […]

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