AWS Partner Network (APN) Blog

Tag: Machine Learning

Say Hello

Say Hello to 20 New AWS Competency Partners Added in August

The AWS Competency Program welcomed 20 new APN Partners in August—spanning workload, solution, and industry designations. The AWS Competency Program helps customers identify and choose the world’s top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. Please join us in welcoming our newest AWS 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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AWS Partner Network

Dive Deep on AWS Services at the Inaugural APN Digital Summit

Join us for the inaugural APN Digital Summit, a virtual webinar series for our APN Partner community. Hear from AWS team experts and get your questions answered at one of our 19 virtual sessions. We have webinars available for all APN Partner types, so take a look at our full agenda, which includes topics on AWS Serverless, AWS Storage Solutions, Amazon GuardDuty, Data Lakes, and Machine Learning.

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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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AWS Navigate_featured

Introducing AWS Navigate: A Blueprint for APN Partners to Build a Specialized Practice on AWS

Based on high demand from our APN Partners, we are excited to introduce the AWS Navigate Program, which provides a prescriptive path for APN Partners to build a specialized practice on AWS. It offers APN Partners the guidance to become AWS experts and deploy innovative solutions on behalf of AWS customers. We have AWS Navigate tracks for Blockchain, Contact Center, End User Computing, Financial Services, Machine Learning, Microsoft Workloads, Migration, and Serverless, with more coming later this year.

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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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AWS Solution Space

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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AWS Cloud Automation

Innovations in Backup and Restore, AWS Lambda Monitoring, and Natural Language Generation

We see many AWS Partners doing great things and innovating on the AWS Cloud. Veeam is bringing backup technology to the cloud; IOpipe helps you get better insight into your AWS Lambda functions; and Narrative Science uses machine learning to generate auto reports from your big data. These are just a few of the innovations being driven by members of the AWS Partner Network (APN), the global partner program for AWS that is focused on helping you build a successful AWS-based business.

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