Once a use case roadmap is defined and the most viable cases are selected it is important to choose the right tech stack for their implementation using Azure OpenAI. It's time to empower your internal engineers to innovate rapidly with this unparalleled solution, expediting the deployment of use cases.

In Unit8 we specialize in crafting architectures that share essential components of the base infrastructure, particularly facilitating access to large language models (LLMs). We serve as strategic advisors, offering insights and guidance on the strategic expansion of LLMs and GenAI use-cases aligned with your company's goals, fostering your overall success. Setting a robust foundation for Generative AI use cases is vital for rapid iterations and value delivery. We provide this foundation, combining expertise in cloud, machine learning, data, and software engineering. We address security concerns to deliver a solution that not only scales effectively but also provides a secure environment, enabling versatile pivoting across varied use cases. We eliminate the requirement for infrastructure prerequisites so you can dive straight into leveraging Azure Generative AI tools and technology. We assure you complete control over the product development roadmap and feature prioritization. By reducing dependencies in our solutions, we enhance operational agility, allowing you to navigate the dynamic landscape of technology with ease. The result is an environment where adaptability is a core strength, ensuring that you will stay ahead in your respective industries.

Target Audience & Value

Designed for technical lead profiles our Azure OpenAI Accelerator encompass an array of infrastructure and code solutions primed for Gen AI use cases. Leveraging Azure infrastructure, we swiftly deploy using Infrastructure as Code (IaC), prioritizing top-tier security measures. In our approach, every client's journey begins with the crafting of a unique solution tailored to your specific needs. This customized approach not only provides flexibility but allowing for seamless transitions to emerging technologies at any point. Our code repository empowers GenAI functionalities, ranging from Q&A information extraction to GPT-based chatbots, ensuring seamless operations. For instance, our code facilitates information extraction through robust ETL processes. In the realm of data engineering, our prowess lies in crafting Azure-based data pipelines. These pipelines efficiently extract documents from SharePoint, seamlessly transitioning them to Azure BlobStorage. Subsequently, our processes encompass transformation, detection, and sophisticated data processing, culminating in storage within databases like Azure AI search for enhanced scrutiny. Moreover, our solutions facilitate real-time synchronization with SharePoint, ensuring updates reflect seamlessly in the Azure environment. Our front-end solutions offer customizable interfaces tailored for diverse applications, fostering flexibility and rapid customization for efficient reuse across various contexts. The solution runs fully within your Azure subscription providing full control and customization options. Moreover, our commitment to client success extends to the financial realm, as our tailored solutions eliminate the need for licensing fees. This not only provides cost savings but also contributes to a more sustainable and efficient operational model. In essence, our approach is a story of empowerment, control, adaptability, and financial efficiency—a narrative woven into each custom-built solution we deliver

Takeaways/ Deliverables:

IaC: GenAI Accelerator

Infrastructure and Code Deployment (application logic) for Gen AI use cases
Modular architecture with exchangeable services from Azure stack
Configurable Azure OpenAI or open-source models
Re-usability of IaC for different projects and/or environments
Architecture diagram (on demand)

Data Integration and Engineering

Search engine to retrieve relevant documents (AI search, custom vector DB)
Integrate easily with Sharepoint and Teams
Automated ETL pipeline (ETL in Container, event grid, Azure form recognizer)

Security

Identity and Access Management
Secured environment following best-practices (VNETs, private endpoints, authentication, authorization, network security groups)

Production-ready Solution

Monitoring of resources and dash boarding of use cases (log analytic, application insights, elasticsearch)
Use case and department based cost monitoring and alerting
Auto-scalable micro-service architecture for cost optimization
Solution Agility and Customization

The project is set to last 2-3 weeks, depending on the current state of your infrastructure.

Azure kickstart and enablement - 1 week workshop

cloudpunks GmbH

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