Open-Source AI Technology Innovation Opportunities & Challenges
Price:
Starting at USD 1,950
Publish Date: 10 Oct 2024
Code: PT-3023
Research Type: Presentation
Pages: 19
RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- Understand and align Research and Development (R&D) to key trends in open-source Artificial Intelligence (AI).
- Identify and evaluate leading open-source strategies.
- Explore key enterprise challenges to build R&D focus.
- Build long-term open-source technology strategy.
Research Highlights
- Assessment of open-source AI projects and models.
- Evaluation of China’s contribution to the open-source AI market.
- Forecast for open-source AI software spending.
Critical Questions Answered
- What are the key drivers of open-source AI for enterprises?
- What are the main challenges for vendors in the open-source AI ecosystem?
- Where can vendors add value in open-source AI R&D?
- What is the key focus for open-source AI model development?
Who Should Read This?
- AI executives looking to engage with open-source ecosystem.
- Vendors looking to develop an effective open-source AI strategy.
- Software strategists looking to translate contributions into monetization.
Table of Contents
Key Takeaways
Key Trends
Open-Source Value Proposition
Vendor Challenges
Open-Source AI Stack
Where Should Stakeholders Look to Invest in Open-Source AI?
Is China Catching up with the United States in Open Source?
How Will Regulation Impact the Open-Source AI Market?