Tag: AWS Service Delivery Partners

Given the sensitive nature of the data capture process within the health landscape, humanizing the experience when digitizing information is crucial, with a keen focus on a personalized user experience not to be compromised on. The key lies in the approach taken to design and deliver on the fundamental capabilities of serverless architecture. Learn how Experience Digital converted offline resources into a broadscale digital toolset for MedHealth as part of a roll-out across Australia.

A fundamental component of the Operational Excellence pillar of the AWS Well-Architected Framework is evolving your environment, incorporating continuous improvement over time. Moving to the cloud should be transformational for a business, by adding agility, and making it easier to innovate. Learn how DXC Technology, an AWS Premier Consulting Partner, integrated their ServiceNow instances with AWS Support so they could accelerate ticket resolution via automating ticket processing.

Thank you for joining us in Las Vegas for AWS re:Invent 2021. We hope you are enjoying all of the educational content and big announcements. If you missed anything from our Global Partner Summit or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for the AWS Partner community. Reminder that virtual options for re:Invent breakout sessions will be available December 6-10.

We are excited to introduce new AWS GameDay partner benefits for AWS Partners in several of our differentiation programs. AWS GameDay League is made up of teams from global partner companies who compete against each other in hands-on technical challenges to build new cloud skills capabilities and have fun while doing so. AWS GameDay Quests Development Kit (QDK) gives partners the ability to integrate their products with real-world scenarios to be leveraged as repeatable, lead-generating events with customers.

This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The “pet to cattle” concept was applied to this solution to transform the legacy high availability disaster recovery solution to a more robust and cost-effective cattle-based solution through the use of AWS-native services.

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

In the data and analytics world, many customers have learned how expert AWS Partners can help them rethink and modernize their data architectures, or migrate and manage data warehouses, data-driven applications, and governed data lakes on AWS. To set your data and analytics business apart, it’s important to leverage the AWS Partner Network (APN) and our various differentiation programs. Whether you are just beginning to build or expand your AWS-based business, we offer programs to help you succeed.

Building effective machine learning models requires storing and managing historical data, but conventional databases can quickly become a nightmare to regulate. Queries start taking too long, for example, slowing down business decisions. Learn how to use Amazon Redshift ML and Query Editor V2 to create, train, and apply ML models to predict diabetes cases for a sample diabetes dataset. You can follow a similar approach to address other use cases such as customer churn prediction and fraud detection.

Organizations the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).