How to manage generative AI programs - governance, education, regulation

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How to manage generative AI programs - governance, education, regulation

Creating a center of excellence (CoE) is essential for effectively managing generative AI within organizations. This approach helps transition from experimental phases to scalable production, addressing governance and integration challenges. A well-structured CoE can streamline processes and ensure that generative AI projects align with business objectives.

The CoE should encompass representatives from various departments to foster collaboration and address diverse business needs. Its responsibilities include policing standards, teaching best practices, and mediating decisions among teams. By balancing governance with innovation, organizations can maximize the benefits of generative AI while minimizing risks.

• Generative AI is projected to transform 40% of working hours.

• A center of excellence enhances governance and integration of AI projects.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to algorithms that can create new content, such as text or images, based on learned patterns from existing data.

Center of Excellence (CoE)

A CoE is a centralized team that establishes best practices and governance for generative AI initiatives across an organization.

Governance

Governance in AI involves creating guidelines and standards to ensure ethical and effective use of AI technologies.

Companies Mentioned in this Article

DataStax

DataStax provides a data management platform that supports the deployment of AI applications, enhancing data accessibility and performance.

Accenture

Accenture is a global consulting firm that emphasizes the transformative potential of generative AI in business operations.

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