AWS Partner Network (APN) Blog
Tag: Amazon S3
How Pr3vent Uses Machine Learning on AWS to Combat Preventable Vision Loss in Infants
Scaling doctors’ expertise through artificial intelligence (AI) and machine learning (ML) provides an affordable and accurate solution, giving millions of infants equal access to eye screening. Learn how Pr3vent, a medical AI company founded by ophthalmologists, teamed up with AWS Machine Learning Competency Partner Provectus to develop an advanced disease screening solution powered by deep learning that detects pathology and signs of possible abnormalities in the retinas of newborns.
Read MoreCohesity Pioneers Data Management as a Service in Collaboration with AWS
Managing backups, archiving, and disaster recovery traditionally required piecing together multiple software solutions across physical locations and network topologies. Trying to balance these disparate systems can result in expensive solutions, operational inefficiencies, and fragmented data. Learn how Cohesity worked with the AWS SaaS Factory team to released Data Management as a Service (DMaaS) as a solution on AWS that will radically simplify data management.
Read MoreHow Zen Saved 75% on Licensing By Migrating MS SQL Server Workloads to Amazon RDS
Many enterprises with applications that use Microsoft SQL Server workloads feel constrained by the punitive licensing costs. They are looking to save on MS SQL Server license commitments, and reduce their operational overhead and complexity. Learn how Zen helped their customer save 75& on licensing costs by migrating SQL Server workload to Amazon Amazon RDS, and dive deep on the technical challenges, solution architecture, key processes, and individual steps of the migration.
Read MoreHow Capgemini Simplifies Pandemic Management with AWS Machine Learning Services
In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.
Read MoreHow to Build and Deploy Amazon SageMaker Models in Dataiku Collaboratively
Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched Dataiku Data Science Studio (DSS) and Amazon SageMaker capabilities answer this need, empowering a broader set of users by leveraging the managed infrastructure of Amazon SageMaker and combining it with Dataiku’s visual interface to develop models at scale.
Read MoreHow Cognizant OrderServ Saves 90% on Infrastructure Costs with AWS Serverless Architecture
Digital food ordering is one of the most rapidly growing global industries today. Cognizant’s OrderServ is an omnichannel digital ordering platform designed for the restaurant and food services industry. Learn how the Cognizant OrderServ platform (for a Kiosk channel) leveraged the AWS Serverless architecture and realized AWS infrastructure cost savings of 90% along with scalability improvements.
Read MoreWhat’s New with the APN Customer Engagements (ACE) Program?
The APN Customer Engagements (ACE) program helps AWS Partners support customers and drive successful engagements on AWS. Through the ACE program, qualifying AWS Partners are eligible to receive AWS Lead and Opportunity Referrals through the ACE Pipeline Manager in APN Partner Central. The ACE Pipeline Manager provides you with resources, tools, and the sales and technical support to ensure you are supported in driving meaningful engagements with AWS customers.
Read MoreHow Etleap Integrates with Amazon Redshift Data Sharing to Provide Isolation of ETL and BI Workloads
Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as business intelligence, predictive analytics, and real-time streaming analytics. Learn how Etleap integrates with new data sharing and cross-database querying capabilities in Amazon Redshift to enable workload isolation for diverse analytics use cases in customer environments. Etleap integrates with any data source and runs either as a hosted solution (SaaS) or inside your VPC.
Read MoreHow TensorIoT Reduced Delays and the Initial Cost of Deploying Smart City IoT Solutions
Itron Idea Labs has been leveraging IoT devices for decades and using technology in innovative ways, but they faced two major problems in developing solutions for public sector organizations: project delays, and large up-front costs. To overcome these challenges, Itron teamed up with TensorIoT and created a new route to integration in the form of the Itron Manhattan SDK, which gives IoT device manufacturers the ability to integrate their devices into the Itron Idea Labs Cloud and AWS.
Read MoreHow Thundra Decreased Data Processing Pipeline Delay By 3x on Average and 6x on P99
It can be complicated to maintain a robust, scalable, and reliable monitoring system that inputs terabytes of data under heavy traffic. Learn how Thundra has delivered 99.9 percent availability to customers since incorporating AWS services into its product. Thundra’s platform can handle scalability and availability challenges, recover both from partial failures and major outages, and support point-in-time recovery in case of disaster.
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