Generative AI Anywhere Solution

Unlocking the Power of AWS Generative AI in closer to where users or data reside

CloudMates offers its "Generative AI Anywhere" solution, enabling customers to seamlessly leverage AWS Generative AI services across hybrid environments. Our offering allows businesses to deploy AWS services in Regions, Local Zones, or Outposts based on their specific needs. CloudMates solutions can help customers enhance customer experiences (chatbots, virtual assistants, personalization), boost employee productivity (conversational AI, content creation, code generation, data insights), and optimize business processes (document processing, data augmentation, fraud detection, process optimization).

AWS Region Based Deployments

CloudMates Generative AI solutions are based on the AWS Generative AI stack, which includes:

Infrastructure for FM Training and Inference: GPUs, Trainium, Inferencia, SageMaker, UltraCluster
Tools to Build with LLMs and Other FMs: Bedrock
Applications that Leverage LLMs and Other FMs: Amazon Q, Amazon Q in Connect, Amazon Q for QuickSight

For deployments within AWS Regions, customers can utilize AWS Bedrock hosted models. AWS Bedrock offers a range of capabilities, including access to state-of-the-art foundation models from leading AI companies. Bedrock simplifies building and scaling generative AI applications with its fully managed service, providing customizable APIs, managed infrastructure, and integrated security. Integration options include Bedrock agents or API-based approaches, ensuring flexibility and efficiency.

Hybrid Deployment Scenarios

CloudMates deploys foundational models on GPU-powered instances in Local Zones or Outposts, utilizing SageMaker JumpStart and Bedrock agents to meet latency and regulatory requirements. In scenarios where AWS Regions are not available within a country, or data must remain on-premises due to regulatory compliance, such as PII or PHI, hybrid solutions are essential. This is particularly relevant in regions like the Middle East, where stringent data residency laws necessitate keeping sensitive data within national borders. Bedrock agents facilitate seamless interactions between on-premises LLMs and AWS-hosted models, optimizing performance for non-sensitive queries while maintaining stringent security.

These deployments support use cases like customizing FMs to meet data residency requirements, performing local FM inference to comply with regulatory standards, and providing real-time insights for latency-sensitive applications. Techniques like Federated Learning or Advanced Swarm Intelligence can enhance model security and performance across distributed environments, ensuring compliance and efficiency.

Use Cases

Data Sensitization: On-premises secure language models process sensitive data, while region based AWS Bedrock hosted models generate comprehensive reports.
Insurance Claims Processing: Our hybrid solution enabled Metrics ERP to meet an insurance customer's requirement to access on-premises claims data, enhancing their staff's efficiency in retrieving relevant information securely.
Real-Time Analytics: Combining on-premises data processing with cloud-based LLMs to provide real-time insights and analytics without compromising data integrity.
Customer Personalization: Deploying models locally for latency-sensitive tasks such as personalized recommendations, while leveraging cloud-hosted models for broader analytical tasks.
Regulatory Compliance: Ensuring compliance with regional data protection laws by processing and storing sensitive data locally while utilizing the cloud for non-sensitive operations.
Cross-Industry Applications: From healthcare providers analyzing patient records to financial services processing transactional data, hybrid AI solutions offer versatile and compliant options for various industries.

Identify customer use cases and assess existing workloads for Generative AI solutions.

Select the appropriate Gen-AI stack for the use case

Define target architecture for Region or Edge based deployment

Test and fine-tune AI models based on initial workloads and custom knowledge base.

Deploy and monitor the Gen-AI solution in the production environment.

Solution Delivery

1 week

3 weeks

Case Study

Metrics ERP provides enterprise-grade ERP, CRM, and POS solutions for businesses across industries. Renowned for adaptability and innovation, it offers tailored systems to streamline workflows, enhance decision-making, and improve customer experiences. With a focus on scalability, security, and performance, Metrics ERP delivers customizable platforms for diverse needs budled with AI powered capabilities to improve employee efficiency in processing transactions.

Challenge

Metrics ERP faced a challenge while supporting one of its insurance customers. The customer needed a secure and efficient way to access on-premises insurance claims data while staying compliant with strict regulatory requirements. Their existing system couldn’t handle complex queries that required data from both on-premises systems and cloud-based knowledge sources. Additionally, they needed to process generic queries efficiently without compromising data security or system performance.

Traditional methods for integrating on-premises and cloud systems fell short, as they couldn’t provide real-time data access or meet the demands of advanced AI-powered queries. Metrics ERP needed a hybrid solution that could combine the strengths of the cloud and on-premises systems while ensuring compliance and security.

Solution

CloudMates developed a tailored hybrid AI setup to address these challenges. The solution included:

Hybrid AI Infrastructure:
A system using Amazon Bedrock Agent, AWS Lambda, and GPU-powered g4dn EC2 instances with Deep Learning AMIs. This setup hosted lightweight AI models for advanced data processing, leveraging an AWS Local Zone for low-latency access to the customer’s on-premises systems.
Secure Data Access and Query Handling:
A Generative AI-powered chatbot allowed insurance claim agents to securely access on-premises data for specific queries, while general queries were processed in the AWS cloud. This ensured high accuracy and fast response times.
Compliance and Data Security:
Sensitive data stayed on-premises, ensuring compliance with regulatory requirements. Non-sensitive queries were handled in the cloud, allowing for efficient and scalable operations.

Generative AI Anywhere Highlights:

Generative AI Anywhere solution played a key role by enabling the chatbot to understand complex queries, respond accurately in real time, and retrieve data from both on-premises systems and the cloud. This flexible AI-powered system ensured Metrics ERP could meet its customer’s unique needs.

Outcomes:

Faster Operations: Reduced query response times, boosting agent productivity.
Improved Security: Sensitive data stayed protected and compliant with regulations.
Better Customer Experience: Accurate, timely responses improved satisfaction.
Scalability: The system was designed to grow with future demands.

By implementing a hybrid AI solution powered by Generative AI, CloudMates helped Metrics ERP solve a critical customer challenge. The new system improved efficiency, ensured compliance, and enhanced service quality, demonstrating how AI can address complex business needs. Please reach out to us from below contact form to discuss your business requirements for adopting irrespective of where the users or data needs to reside.

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