Tag: Machine Learning

Amazon re:MARS 2020 is our second annual artificial intelligence event, covering a diverse array of topics and themes related to machine learning, automation, robotics, and space (MARS). The event brings together innovative minds to share new ideas across these rapidly advancing domains. APN Partner are invited to join us as a sponsor at Amazon re:MARS and gain access to decision makers who are starting or accelerating MARS tech initiatives.

Voice data represents a rich and relatively untapped source of information that can help organizations gaining precious insights into their customers and operations. By leveraging a number of AWS services, Deloitte’s speech analytics solution, TrueVoice, can process voice data at scale, apply machine learning models to extract valuable information for this unstructured data, and continuously refine and enrich such models, tailoring them to specific industries and business needs.

To help you sharpen cloud skills and strengthen your AWS-based business offerings, we are excited to introduce AWS Partner Network TV, or APN TV for short. Whether you’re looking for consulting services or strategic technology solutions, you’ll discover APN TV videos that showcase how AWS customers in similar situations have teamed up with APN Partners to drive better business and bigger results. Videos include demos, interviews, success stories, and webinars featuring top APN Partners.

We are excited to highlight 45 APN Partners that received new designations in August 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.

APN Navigate is a partner’s path to specialization on AWS, guiding organizations large and small to establish fundamental building blocks that will help them become successful APN Partners. Completing APN Navigate will help partners advance through the APN tiers and prepare for the rigorous validation associated with our APN differentiation programs, such as AWS Competency, AWS Service Delivery, and AWS Managed Service Provider (MSP).

Advances in the Industrial Internet of Things (IIoT) have made smart factories a reality through the application of AI and cloud computing technologies. In this post, explore how EXOR International’s systems-on-module (SOM) and edge gateways, powered by Intel’s Cyclone V FPGA, allow system integrators and application builders to deliver AWS-based IIoT solutions with faster time-to-market, lower total cost of ownership, and reduced development efforts.

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.

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.

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.

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.