Exploring Open-Source AI Commercial Strategies

Price: Starting at USD 1,950
Publish Date: 11 Oct 2024
Code: PT-3022
Research Type: Presentation
Pages: 11
Exploring Open-Source AI Commercial Strategies
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

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

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

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?

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

 

Companies Mentioned