Tag: AWS Public Sector Partners

Data architectures and strategies continue to respond to the need for discoverability and consumer desire to directly connect with producers. Data mesh is one such approach and provides a methodology for how organizations can organize around data domains by delivering data as a product. Learn how Palantir Foundry runs on AWS to help customers deliver and transform their data architectures through such an approach while leveraging and building on existing investments.

The transformative power of artificial intelligence (AI) is something HAQM and Deloitte know well. With over 40 years combined experience in the AI space, these leading organizations are innovating and using AI technologies to change how businesses work, grow, and thrive. The journey continues with HAQM Bedrock, the easiest way to build and scale with foundation models (FMs), and in this post we’ll share how Deloitte can help customers benefit from AWS’s generative AI offerings.

Outdated technology poses particular challenges to many businesses., as legacy systems or outdated applications can accumulate bugs and other issues over time. Moreover, it isn’t easy to find viable solutions that can integrate with or are cost-effective for legacy applications because of their age. Modernizing legacy systems is the right solution for engaging with and attracting new customers. Learn how DXC Technology is migrating monolithic Java applications from on-premises to AWS.

Many of the requirements for meeting and maintaining a secure environment can be met by using AWS FedRAMP-authorized regions and services, which can simplify and reduce costs of the process. Over 2,000 government agencies and other entities that provide services to government agencies are using AWS services today. Learn how Antivirus for HAQM S3 by Cloud Storage Security can be used to automate malware scanning for application workflows or data ingestion pipelines to achieve data security and compliance.

State Farm, a leading insurance company, is leading the way in modernizing its mainframe application. By embracing the cloud and adopting robust workload automation tools, State Farm achieved greater agility and operational efficiency while delivering an enhanced customer experience. This modernization journey highlights the transformative power of cloud computing and intelligent workload automation in today’s competitive business landscape.

Financial institutions use “Know Your Customer” (KYC) as the process of identifying and verifying a customer’s identity prior to providing any financial service. Learn how Capgemini’s KYC solution helps institutions automate identity documents validation, extraction of information present in them, and forgery detection using AI. It provides customers an extensible automated solution for validating government-issued documents, while reducing the overall time and manual intervention required to onboard customers.

VMware Cloud on AWS allows customers to migrate VMware vSphere-based workloads to a VMware-managed SDDC running on AWS. But what’s the best way to manage migrating to AWS while minimizing disruption and maximizing return on investment? Learn how the “Eviden Approach” of addressing cloud migrations to VMware Cloud on AWS has been specifically developed and optimized to address complex cloud migrations.

Advanced Care Cloud is a SaaS solution running on AWS that provides care organizations of different sizes with the power to effectively manage their entire business from anywhere, at any time. Learn how Advanced used AWS Step Functions to orchestrate the solution’s onboarding process and data migration activities. We’ll also discuss the benefits Advanced achieved by leveraging Step Functions rather than building custom orchestration capability.

To fully engage with customers and produce meaningful experiences, creating a 360-degree view of them is essential. The information needed to build this view requires internal and external sources of data. Learn about the concept of data clean rooms and how AWS Clean Rooms helps customers and their partners more easily and securely collaborate and analyze their collective datasets—without sharing or copying one another’s underlying data.

AWS Graviton processors are designed to deliver the best price performance for your cloud workloads running in HAQM EC2 and the most cost-effective and performant choice for graph database workloads running Neo4j. Tests have shown that deploying Neo4j with AWS Graviton-based instances results in cost savings of up to 15% as well as a boost for write performance of up to 146% over equivalent Intel-based instances.