Tag: HAQM S3

The AWS SaaS Factory team had the chance to work with Ridgeline, a privately funded fintech startup determined to modernize investment management software, and help build their purpose-built enterprise platform on AWS. We speak with Chris Petrunik, Director of Engineering at Ridgeline, to learn how their platform works and what advice they have for other businesses building SaaS solutions on AWS.

Moving data between multiple data stores requires an extract, transform, load (ETL) process using various data analysis approaches. ETL operations form the backbone of any modern enterprise data and analytics platform. AWS provides a broad range of services to deploy enterprise-grade applications in the cloud. This post explores a strategic collaboration between Tech Mahindra and a customer to build and deploy an enterprise data repository on AWS and create ETL workflows using a serverless architecture.

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.

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.

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 HAQM HAQM RDS, and dive deep on the technical challenges, solution architecture, key processes, and individual steps of the migration.

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.

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 HAQM SageMaker capabilities answer this need, empowering a broader set of users by leveraging the managed infrastructure of HAQM SageMaker and combining it with Dataiku’s visual interface to develop models at scale.

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.

Tens of thousands of customers use HAQM 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 HAQM 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.

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.