Exploring Open-Source AI Commercial Strategies
Price:
Starting at USD 1,950
Publish Date: 10 Oct 2024
Code: PT-3022
Research Type: Presentation
Pages: 11
RELATED SERVICE:
AI & Machine Learning
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.
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.
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?
Who Should Read This?
- AI executives looking to engage with the open-source ecosystem.
- Software strategists looking to translate contributions into monetization.
Companies Mentioned
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
Companies Mentioned
- Neural Magic
- NVIDIA
- Red Hat, Inc.