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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

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

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

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?

Who Should Read This?

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

Companies Mentioned

Neural Magic
NVIDIA
Red Hat, Inc.

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.