As generative AI becomes increasingly capable, MIT Sloan Review offers eight definitive reads to guide leaders on how to effectively use these tools. The collection addresses common questions on LLM behavior, deployment strategies, and the limitations of current models, such as their inability to restrict output solely to provided documents. These insights are essential given the rapidly evolving GenAI landscape, which poses challenges around trust, responsible use, and measuring ROI.
Several articles highlight organizational experiences, such as Novo Nordisk’s large-scale GenAI deployment, which yielded time savings and enhanced work quality, and Colgate-Palmolive’s innovative use of retrieval-augmented generation to uncover consumer needs efficiently. However, alongside benefits, risks including data security, intellectual property concerns, and technical debt related to AI-generated code are discussed. The phenomenon of ‘Bring Your Own AI’ also raises governance complexities as employees adopt unvetted tools.
The Review stresses that successful GenAI integration requires more than technology; it demands cultural and strategic changes within organizations. Leaders must balance innovation with risk management, particularly in customer-facing contexts. Additionally, the distinction between generative AI and predictive AI applications is explored to clarify their optimal use cases. The provided GenAI Strategy + Governance Toolkit offers practical resources for leaders navigating this complex domain.
👉 Pročitaj original: MIT Sloan Management Review
