【会议演讲PPPT】Gartner+创建强大的+AI+战略——从计划到执行-19页_719kb

报告摘要

Gartner AI Strategy Workshop Summary

This summary covers the key points from the Gartner webinar "Create a Robust AI Strategy – From Plan to Execution," focusing on AI strategy, adoption, risks, and recommendations.

Core Concepts

AI Strategy Framework: The workshop outlines steps for developing a comprehensive AI strategy, including defining vision, adoption plans, and risk mitigation.
AI Growth and Applications: Highlights generative AI's rapid adoption, with use cases in NLP, computer vision, software engineering, and other domains.
Value and Adoption: Emphasizes metrics for success, such as improved customer satisfaction, workforce productivity, cost reduction, and accelerated product creation.

Risks and Mitigation

Key Risk Areas: Covers regulatory, reputation, and internal competency risks, with strategies to address biases, security, and talent management.
Mitigation Tactics: Recommends adherence to compliance, transparent AI practices, and building internal capabilities.

Implementation Methods

Approaches to Generative AI: Details two primary methods: consuming embeded APIs (e.g., ChatGPT via O365) or extending models through customization.
Tactics for Strategy Execution: Includes identifying AI roles and skills, prioritizing use cases, and deciding on consumption tactics like prompt engineering or fine-tuning.

Recommendations and Further Resources

Gartner Suggestions: Recommends creating a position paper on foundation models, using task-specific pretrained models, instilling responsible AI practices, and forming an incubation team.
Gartner Products: Points to relevant research, such as reports on AI foundation models and generative AI insights.
Additional Engagement: Provides details on Gartner conferences, webinars, and client resources for deeper involvement in AI strategies.

For more details, refer to Gartner's exclusive research and events.

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