Tag: Amazon ECR

Recognizing a user’s signature is an essential step in banking and legal transactions, and typically involves relying on human verification. Learn how Capgemini uses machine learning from AWS to build ML-models to verify signatures from different user channels including web and mobile apps. This ensures organizations can meet the required standards, recognize user identity, and assess if further verifications are needed.

For many companies, budget and time constraints, along with shifting workplace dynamics and lack of skilled developers, prevent them from taking the leap in modernizing their legacy applications. Learn how Wipro is taking a step forward to address these challenges and deliver cloud transformation at scale with the Cloud Native Acceleration Platform (CNAP). It provides self-service and enhanced developer experience to help build both greenfield cloud-native applications and modernize legacy applications.

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

Financial institutions need to keep up with fast-changing market conditions while increasing digital adoption. To provide an end-to-end digital experience to customers, they need capabilities to rapidly validate ideas and conduct experiments or PoCs with an ability to iterate quickly towards the final solution. Virtusa’s Open Innovation Platform (OIP) is hosted on AWS and helps banks and financial services firms to achieve these goals quickly, efficiently, and at low cost.

AWS customers can start transforming their applications and moving towards microservices architecture by utilizing the VMware Cloud on AWS. Learn how to integrate VMware Cloud on AWS with Amazon EKS to accelerate application modernization. Amazon EKS provides a simplified and fully managed Kubernetes platform to effortlessly manage container workloads and deploy microservices-based applications, along with multiple flexible options to publish microservices externally.

In speaking with AWS Partners of all sizes and areas of expertise, it’s clear there is a growing need for getting more robust, more powerful AWS technology to the edge, in more clever ways than before. AWS Outposts is a service that allows customers to run a subset of AWS services—on fully managed AWS hardware—located in their own data center, remote office, production plant, or virtually anywhere they want them to be. The art of the possible, as cliché as it can sometimes be, really does start there.

Insurity Analytics provides continuous access to insights on the health of an insurer’s portfolio through data visualization tools and a streamlined, adaptive user experience. It enables insurers to identify trends and patterns, such as high- and low-performing policies, and deliver insights into predicted pricing benefits. Learn how Insurity Analytics prioritizes security, redundancy, and resiliency of its end users.

Implementing effective threat detection for applications in the cloud requires visibility into all aspects of your infrastructure and workloads. By taking advantage of AWS services, you’re freed to focus on the applications that drive your business. Security in the cloud is a shared responsibility between AWS and the customer, however, and Sysdig’s cloud security platform helps you follow security best practices and simplify the work of securing your AWS account and workloads.

As more organizations make the move to a SaaS delivery model, many are choosing Amazon EKS as the target for their solutions. The programming model, cost efficiency, security, deployment, and operational attributes of Amazon EKS represent a compelling model for SaaS providers. Walk through the key architectural elements of a sample architecture, and learn how to isolate tenants within an EKS cluster, automate tenant onboarding, manage tenant identities, and support routing of tenant workloads.

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.