Research Paper#Agentic AI, Machine Learning, B2B Transformation🔬 ResearchAnalyzed: Jan 3, 2026 06:23
Agentic AI: A Framework for the Future
Analysis
This paper provides a structured framework for understanding Agentic AI, clarifying key concepts and tracing the evolution of related methodologies. It distinguishes between different levels of Machine Learning and proposes a future research agenda. The paper's value lies in its attempt to synthesize a fragmented field and offer a roadmap for future development, particularly in B2B applications.
Key Takeaways
- •Provides a structured framework for understanding Agentic AI.
- •Clarifies key concepts and traces the evolution of methodologies.
- •Distinguishes between M1 and M2 in Machine Learning.
- •Focuses on B2B transformation and future research agenda.
Reference
“The paper introduces the first Machine in Machine Learning (M1) as the underlying platform enabling today's LLM-based Agentic AI, and the second Machine in Machine Learning (M2) as the architectural prerequisite for holistic, production-grade B2B transformation.”