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Opportunity Discovery: Using Artificial Intelligence to Spot High-Potential Concepts

In: Innovation Mode 2.0

Author

Listed:
  • George Krasadakis

Abstract

Identifying high-potential innovation opportunities is one of the most critical yet challenging aspects of corporate innovation, requiring organizations to navigate ambiguous problem and solution spaces, usually without solid frameworks and scalable capabilities. This chapter explores how to leverage artificial intelligence to revolutionize opportunity discovery by systematically analyzing market gaps, customer pain points, and emerging trends at unprecedented scale and speed. The chapter begins by presenting how to organize a comprehensive problem and solution space and then details methodologies for evaluating ideas effectively by moving beyond subjective assessments to well-defined criteria that capture both market potential and organizational fit. The chapter further examines how AI enhances opportunity discovery by processing diverse data sources, identifying hidden patterns, and generating novel concepts. It presents how AI enables advanced autonomous innovation modes through AI-powered opportunity discovery agents that continuously scan markets, technologies, and customer behaviors to surface emerging opportunities with minimal or no human intervention. The chapter concludes with the AI Sandbox concept, addressing critical security and privacy considerations necessary for implementing AI-powered discovery systems while protecting sensitive corporate and customer data, ensuring organizations can leverage AI capabilities responsibly and effectively.

Suggested Citation

  • George Krasadakis, 2026. "Opportunity Discovery: Using Artificial Intelligence to Spot High-Potential Concepts," Springer Books, in: Innovation Mode 2.0, edition 0, chapter 6, pages 157-188, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-00835-0_6
    DOI: 10.1007/978-3-032-00835-0_6
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