Tag: Amazon 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.
Leveraging Serverless Architecture to Build an Enterprise Data Repository Platform for Customer Insights and Analytics
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 Amazon Amazon 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 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.
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.
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.
How 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.