오픈소스 AI 상업 전략의 탐구

Actionable Benefits:

• Identify and develop new commercial strategies for open-source Artificial Intelligence (AI) contributions.
• Explore and learn from best practice open-source AI commercial case studies.
• Develop long-tern internal, community, contribution, and commercialization strategies.

Critical Questions Answered:

• Who are the most commercially advanced open-source AI contributors?
• How can vendors maximize the value of open-source investment?
• What will be the most effective long-term open-source strategies for market, product, and company development?
• How should vendors start supporting open-source AI development?

Research Highlights:

• Open-source AI strategy evaluation.
• Enterprise open-source AI software spend: traditional versus Generative Artificial Intelligence (Gen AI).
• Open-source AI strategy case studies.

Who Should Read This?

• AI executives looking to engage with the open-source ecosystem.
• Software strategists looking to translate contributions into monetization.

TABLE OF CONTENTS

Key Takeaways

Open AI Revenue Forecasts 2023 to 2030

How Can Vendors Develop an Open-Source Strategy

What Strategies Can Open Source Enable

Strategy Case Studies

Leading Open-Source AI Strategies

How Can Vendors Build Differentiation in Open-Source AI

Open-Source AI Strategic Recommendations