Implementing a secure environment with HCLTech reference architecture and Azure-native Services to experiment with generative AI use cases
The HCLTech GenAI Architecture & Environment offering intends to create an optimized Azure Gen AI architecture to monetize the data and realize better and more effective business potential with a 3 week period leveraging Azure native services and other tools/technology if required.
Approach: A 3-phased approach, Discover-Design-Deliver will be adopted for setting up the Generative AI Pilot Environment.
• Understand overall technical landscape, Ways of Working, Process Orientation, Security Policies (Information Security, IP Protection) etc. • Understand the needs & objectives of Gen AI Pilot Environment • Select the appropriate Azure native services, any other tools & technologies if required
Design (Week 2-3):
• Leverage Reference Architecture and Create detailed design of the Pilot Environment with to-be-architecture, infrastructure, and security components aligned to Azure-native services • Gain access to the Pilot Environment and all required cloud/ software license and services
Deliver (Week 3-4):
• Develop and prepare the Pilot Environment, ensuring proper integrations and workflows • Set-up servers, networking requirements, configure data storage and processing systems etc. • Thoroughly test the Pilot Environment to ensure it functions as needed
• Gen AI Reference Architecture • Environment to help build use cases – that leverages Azure Data Services, Predictive + Cognitive + Generative AI features + any other tool/technology if required