Open-Source AI Technology Innovation Opportunities & Challenges

Price: Starting at USD 1,950
Publish Date: 11 Oct 2024
Code: PT-3023
Research Type: Presentation
Pages: 19
Open-Source AI Technology Innovation Opportunities & Challenges
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

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.
Critical Questions Answered

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?
Research Highlights

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.
Who Should Read This?

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?