Glossary What is an AI Center of Excellence?
By null / 1 Jan 2023 / Topics: Generative AI Data and AI
AI Center of Excellence is a framework combining both technical experts and business leaders to integrate the power of AI into organizations. This cross functional team will implement leadership, best practices and oversee set AI initiatives. Building a strong structure around AI can help businesses achieve industry growth and efficiency gains.
The value of AI Center of Excellence
Developing an AI Center of Excellence provides a business with several advantages. AI expertise can optimize business efforts and ensure that AI initiatives align with set objectives. Defining measurable goals can help provide clarity and direction to a business to increase AI’s value. Moreover, AI Center of Excellence supports rapid AI growth and adoption. By establishing best practices, expertise, and governance, organizations can consistently mitigate risks and meet requirements. This collaborative environment brings together various experts to innovate and drive AI innovation. 1
Who should utilize an AI Center of Excellence?
AI Center of Excellence integrates specialists across various fields to accomplish business goals. DevOps & Data Science specialists work to set requirements, generate models to uncover insights, and implement a CI/CD framework for efficiency of workload tasks. FinOps experts maintain responsibility of the project through storage, cloud, platform and resource allocation. Platform Engineering & DevX specialists are responsible for the platform and interface to provide the other teams necessary access, visibility, and integration of smooth workflows.
Other roles for impactful AI include:
- Security & compliance
- Agileists
- Organizational change experts
- MLOps, deployment, operationalization
- Business analysts and product owners
- Cloud & infrastructural experts
Steps of AI Center of Excellence optimization
Creating an effective process for development and improvement involves these steps:
- The organization must first define their policies and goals. This provides a strong foundation to guide the process and team.
- Leadership will define standards, data governance approach, ethical parameters and security precautions.
- The organization will hire, and train designated specialists.
- Before implementation of a new project, the business must first approve a proof of concept. Once the proof of concept is successful, the business can develop a Minimum Viable Product (MVP) and strategy.
- Once the previous stages have been completed and approved, the business can move forward with its roll out.
How Insight can help Organizations integrate AI Center of Excellence
Insight can assist smooth integration of AI Center of Excellence through a 10+ week engagement program. Insight will analyze the organizations current AI practices, identify key areas for improvement, and lay out a step-by-step roadmap to apply best practices. By working side by side with the organization, Insight can identify, build, and deploy a strong AI framework into the business.
Insights engagement program has the following benefits:
- A complete assessment of AI delivery maturity
- A list of your AI opportunities triaged by ROI and time to value
- A high value AI model taken from ideation to production
- A customized roadmap to repeatedly deliver high value AI
