AWS Partner Network (APN) Blog
Tag: AWS SQS
Helping Healthcare Agencies Without Data Science Skills Get More from Patient Data
Infosys Public Services and AWS have collaborated to develop Infosys Health Insights Platform, an advanced data science platform that helps government healthcare agencies turn multi-source, multi-format data into insights and actions. Its goal is to deliver proactive and targeted interventions to the right people at the right time. This can improve care experience and outcomes across areas like population health management, epidemic management, behavioral health, and substance abuse.
Capturing Crisis Communication Events in Real-Time Using Whispir and Amazon EventBridge
Work is becoming more complex, collaborative, and fast-paced in the time of COVID-19. With the role of crisis communications increasing in visibility, the capability of SaaS applications to facilitate actionable communications is paramount. Whispir’s integration of Amazon EventBridge means the Whispir platform can power communication workflows between your apps, systems, and databases without the need to write any connection code.
Architecting Successful SaaS: Interacting with Your SaaS Customer’s Cloud Accounts
Explore several common AWS services and architectural patterns used by SaaS vendors to interact with their customers’ cloud accounts. Examples of SaaS products requiring some level of account interaction often fall into the categories of logging and monitoring, security, compliance, data analytics, DevOps, workflow management, and resource optimization. SaaS products, such as the ones in these categories, regularly interact with resources in the subscribing customer’s AWS account.
How APN Partners Can Help You Build a Digital Workplace on AWS
The Digital Workplace program at AWS identifies APN Partners and AWS solutions that can help you build a digital workplace. All the partners and AWS solutions that we showcase have passed a Technical Baseline Review with AWS, and some of our APN Partners have also created AWS Quick Starts. These accelerators that reduce hundreds of manual procedures into just a few steps, so you can build your production environment quickly and start using it immediately.
Building a Data Processing and Training Pipeline with Amazon SageMaker
Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.
How Steamhaus Used AWS Well-Architected to Improve Sperry Rail’s Artificial Intelligence System
Over two days, Steamhaus conducted an AWS Well-Architected Review on-site with the team who designed, built, and currently manage Elmer at Sperry Rail. Elmer uses machine intelligence to inspect thousands of miles of ultrasound scans collected by Sperry’s inspection vehicles, searching for evidence of cracks in the rail. This partnership allowed quick improvements in efficiency, while ensuring the requirements of running the business day-to-day did not get in the way of improving Elmer.
Facilitating a Migration to AWS with CloudEndure by Leveraging Automation
By Carmen Puccio and Mandus Momberg, Partner Solutions Architects at AWS focused on Migration It’s no secret that migrating software and services from an on-premises environment to the cloud entails unique considerations and requirements. To provide confidence in the outcome of your migration, your migration strategy needs to scale easily. This means that a large […]