Gartner-如何引导生成型人工智能（英）-29页_1mb

Gen AI Pilot Summary

This report by Gartner provides a framework for IT leaders to pilot Generative AI (Gen AI) effectively, focusing on demonstrating business value rather than just technical feasibility. It outlines five key steps for a successful pilot and addresses common challenges.

Key Recommendations

• Focus on Business Transformation: Prioritize use cases with high business potential, involving business partners from the start.
• Prioritize Use Cases: Limit the number of initial use cases to ensure quick validation and avoid incremental improvements.
• Assemble a Diverse Team: Form a cross-functional team including business experts, software engineers, and AI specialists for comprehensive execution.
• Design and Plan: Define clear objectives, key performance indicators (KPIs), risks, and deployment approaches early to mitigate issues.
• Deliver and Iterate: Use a lean cycle for innovation, quickly testing hypotheses and refining based on results to scale or pivot as needed.

Critical Considerations

• Risk Management: Address risks like data privacy, security vulnerabilities, and output inaccuracies through policies and mitigation strategies.
• Deployment Methods: Choose scalable yet agile approaches, such as leveraging existing APIs or applications, to accelerate implementation.
• Vendor Selection: Evaluate vendors based on performance, customization, pricing, and alignment with organizational needs.

By following these steps, organizations can leverage Gen AI's transformative potential, starting small to build trust and value.