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AI Research

  • AI Research
Protected: Championing Budget Aware and Effective AI Implementation: BAVT Search for LLM Agents
This blog discusses recent AI research and a publication, Spend Less, Reason Better: Budget-Aware Value Tree Search for LLM Agents, by Dr. Xiaoxiao Li and his colleagues, which focuses on their Budget-Aware Value Tree (BAVT) “a training-free inference-time framework… that combats the well-known overconfidence of LLM self-evaluation [and]... under strict low-budget constraints surpasses baseline [model] performance at 4× the resource allocation” (Li et al., 2026).
  • AI Research
Protected: How Managerial Characteristics and Behaviours Affect AI and Technology Adoption
This blog explores Jean-François Harvey’s research on sensing capabilities and their impact on successful AI adoption. In the advent of AI and the rapid technological advancements that have accompanied it, his research is incredibly relevant for organizations engaged in AI adoption that are looking to improve their ability to detect opportunities and threats through environmental scanning, the ongoing practice of monitoring markets, customers, competitors, emerging threats and opportunities (Harvey, 2025).
  • AI Research
AI Adoption and Its Impact on Organizational Knowing
This blog discusses a recent AI research article, A Time for Monsters: Organizational Knowing after Large Language Models, by Faraj and colleagues, which argues that the rise of LLMs is improving knowledge work while reshaping “how knowledge is created, evaluated, and acted upon in the age of intelligent technologies” (Faraj et al., 2025).