AWS Partner Network (APN) Blog
Tag: AWS Partner Success Stories
Wealth Management Giant built a Data Foundation Platform for Intraday Reporting with Unqork’s Codeless Platform on AWS
In the face of ever-stricter regulatory rules, rising client expectations for timely insights, and downward pressure on margins, wealth management firms are searching for ways to make their complex data management and reporting infrastructures less costly and more performant, reliable, and accurate—and able to support intraday reporting to better serve both internal stakeholders and clients. By leveraging the power and scalability of AWS along with Unqork’s codeless development platform, the firm was able to build highly scalable, transparent, event driven, and flexible data platform. By doing so, the firm will be able to deliver near real-time reporting, support more timely and powerful insights to advisor and client experiences, and power all new initiatives thanks to significant gains in operational efficiencies.
HCL Workload Automation expands AWS integration with AWS Step Functions
HCLSoftware’s automation product, HCL Workload Automation (HWA), now integrates with AWS Step Functions. This integration offers a comprehensive automation solution, streamlining complex workflows across cloud and on-premises environments. It enables organizations to automate more use cases with increased efficiency, scalability, and reliability, utilizing the robust AWS ecosystem of services. This strategic partnership empowers customers to transform their IT landscape through centralized, cloud-native automation.
How Anchore on AWS can help customers achieve FedRAMP Compliance
Cisco Security Cloud uses Anchore to achieve FedRAMP compliance for its cloud solutions. Anchore integrates with Cisco’s AWS CodePipeline, Amazon ECR registry, and Amazon EKS to scan containers throughout the pipeline, enforcing vulnerability policies. Its integration allowed Cisco to expand Anchore to Amazon ECS and generate software bill of materials for the cybersecurity executive order. The comprehensive Anchore solution on AWS strengthened Cisco’s regulated security posture.
Strengthen Security Posture with AI-Enabled Insights Using Amazon Security Lake, Splunk, and Recorded Future
Organizations can enhance resilience by implementing Amazon Security Lake for centralized security data storage, Splunk for real-time data analysis, and Recorded Future for advanced threat intelligence. This unified approach tackles data silos, complex analysis, slow threat detection, compliance challenges, and inefficient resource utilization. Security Lake aggregates data sources, Splunk analyzes it with AI/ML for swift threat identification, and Recorded Future provides external intelligence context.
How Arcanum AI Migrated Models from OpenAI to AWS Using Amazon Bedrock and Amazon SageMaker JumpStart
Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.
Tenant Switching and Custom Permissions in a Multi-Tenant Serverless Application
This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.
How Exxeta Improves IT Planning with Use-Case Driven Architecture on AWS
When designing IT solutions, a one-size-fits-all approach misses opportunities for performance and cost savings. Exxeta proposes a use-case driven architecture approach that fits IT components to specific business processes. A real-world example shows how this approach helped an automotive company build a high-performance, scalable analytics solution at a lower cost by utilizing fit-for-purpose technologies like Apache HBase and Amazon S3.
Protect Your SaaS Data and Leverage it to Gain Insights Using Own and AWS
The 3-2-1 backup strategy ensures data protection by maintaining multiple copies across different storage media, with at least one copy offsite. As companies adopt SaaS applications, they need strategies to backup critical SaaS data. Own Company (formerly OwnBackup) enables SaaS data backups to Amazon S3, providing data autonomy, meeting recovery objectives, and allowing data analysis.
Accelerating Your Sustainability Journey with PwC’s Unified Sustainability Hub on AWS
Organizations face increasing demands for transparency around environmental, social, and governance (ESG) matters. PwC’s Unified Sustainability Hub helps access and manage ESG data, providing automated data ingestion, a centralized view of sustainability performance, intelligent data extraction, carbon accounting, reporting/analytics, forecasting capabilities, and a generative AI assistant. It accelerates sustainability transitions by integrating stakeholders, processes, and standards.
Automate Deployment of Amazon QuickSight Assets with AWS Step Functions and QuickSight Asset Bundle APIs
Business intelligence (BI) teams aim to automate Amazon QuickSight asset deployment across environments. CyberCX developed a solution using AWS Step Functions to orchestrate exporting QuickSight analyses from one environment and importing them to another, simplifying migration. This reusable module integrates with CyberCX’s broader serverless data platform but can standalone. The entire solution is designed with security in mind and follows the principles of least privilege access.