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Acuvate’s Generative AI Center of Excellence (COE)
Our COE Service is designed to help drive your successful AI adoption, enabling cost savings, fostering innovation, and minimizing risks while enhancing efficiency.
Empower your business with the strategic advantage of Azure OpenAI through our Generative AI Center of Excellence (COE) Service. With Generative AI rapidly transforming industries, staying ahead requires a comprehensive and structured approach to Generative AI implementation. Our COE Service is designed to help drive your successful AI adoption, enabling cost savings, fostering innovation, and minimizing risks while enhancing efficiency by focusing on crucial processes, technologies, or applications.
Our Generative AI Center of Excellence (COE) service aims to support successful integration of Azure OpenAI which covers:
Establishing AI COE:
Defining roles and responsibilities for the Generative AI COE team.
Identifying key stakeholders and communication channels.
Creating a dedicated Generative AI COE governance framework.
COE Reference Architecture:
Defining the architecture for Azure OpenAI initiatives.
Addressing data storage, scalability, and security needs.
Identifying integration points with existing systems.
COE Development and Deployment Process:
Defining the Generative AI project lifecycle, including training, evaluation, and deployment.
Outlining data acquisition, cleaning, and preparation methodologies.
Ensuring ongoing monitoring, maintenance, and model iteration.
Responsible Generative AI Framework
Promoting responsible Generative AI practices.
Establishing a framework for ethical and responsible deployment.
Implement it within the organization, leveraging Microsoft Azure OpenAI for enhanced security and governance.
Gen AI CoE Engagement Model
Core Flex model of engagement maintains a core team of resources throughout the engagement and handles demand fluctuations by ramping up and down a flexible pool of resources. The core team provides knowledge retention and stability to the engagement while the flex team allows for agile response to demand variations, thus allowing the customers to respond effectively to seasonal business needs at a minimal cost.