Category: Case Study

In this blog, you’ll learn how Neurons Lab, an AWS Advanced Tier Services Partner, collaborated with Peak Defence to automate compliance processes using Amazon Bedrock with Anthropic Claude 3 model and Amazon Sagemaker. The generative AI solution streamlines cybersecurity audits and RFP responses, reducing time and resources required. It covers architectural considerations, operationalization with AWS services, LLM evaluation, and continuous improvement.

Amazon outsourced management of its out-of-warranty device repairs to Genpact to meet regulatory requirements and customer expectations. Learn how Genpact leveraged its ContactUs.Ai framework and Amazon Connect to create an omnichannel solution allowing self-service and live support. This extends device lifetimes, increases customer satisfaction, and aligns with Amazon’s ESG priorities around Right to Repair regulations in Europe.

In this exclusive interview for our blog, we sat down with Joaquin Lippincott, the CEO of Metal Toad, to delve into the innovative Securitoad Machine Learning Security SaaS solution. Joaquin generously shared his expertise on how they strategically built their latest offering on the AWS Marketplace. His insights offer invaluable lessons for software providers aiming to embrace this modern delivery mode.

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.

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.

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.

Amazon Q and generative BI are transforming business operations, and AWS Partners like ZS Associates, Tiger Analytics, and Compass UOL are pioneering use cases leveraging these technologies to build industry-tailored solutions that improve decision making, operations, fraud detection, software development lifecycles, and more. AWS provides resources to help partners develop and deploy such transformative generative AI offerings.

Connecting IoT devices securely to the cloud can be complex, but AWS IoT ExpressLink simplifies this by providing connectivity modules with built-in security from AWS Partners. Cardinal Peak used these modules to accelerate IoT product prototyping, avoiding hardware redesigns, simplifying firmware, using pre-installed certificates, streamlining manufacturing, and enabling efficient cloud onboarding. Overall, AWS IoT ExpressLink helped Cardinal Peak save over 6 months of engineering time.

Companies often need to securely share digital resources when collaborating, and the extranet provides a mechanism for this using cloud platforms like AWS. Alkira’s Extranet-as-a-Service (EaaS) solution enables secure global connectivity, network segmentation, NAT for overlapping IPs, and integrated security for partner access to AWS applications. Alkira reinvents networking for the cloud era and allows enterprises to build networks with cloud-like speed, agility, and scale.

Comprinno migrated a fitness app’s databases from Google Cloud to AWS to reduce costs. Challenges included migrating large PostgreSQL databases without downtime and accessing Google’s managed subnets. Comprinno established a VPN between clouds, used a SQL proxy to enable the AWS Database Migration Service, and parallelized data loading to meet the tight migration window. By moving to Graviton-based Amazon RDS, the customer reduced database costs by 30%.