Harmonizing AI Integration in Business
AI adoption is becoming a major challenge for businesses, but how can we avoid the organizational fragmentation that can result? Olivier MAMAVI and Romain ZERBIB address this crucial question in their latest article.
Pioneering Researchers in Innovation
Olivier MAMAVI, Associate Professor in Data Science, and Romain ZERBIB, Research Professor at ICD Business School, specialize respectively in business strategy and innovation management. With extensive academic and professional experience, they provide unique insights into the challenges and opportunities associated with AI integration in businesses.
Harmonious AI Integration to Avoid Fragmentation
In their article, MAMAVI and ZERBIB analyze the disparities in AI adoption within businesses and the risks of organizational fragmentation. They identify four levels of AI adoption and three levels of organizational diversity, highlighting the challenges and opportunities at each level. They also propose five recommendations for harmonious AI integration to improve organizational coherence and efficiency.
The Impact of Research on Our Students and School
The article by MAMAVI and ZERBIB aligns perfectly with the values and objectives of ICD Business School. As an institution focused on the future, we encourage our students to become familiar with emerging technologies like AI. Insights from this research enrich our academic program and prepare our students to become innovative leaders capable of navigating complex and technological environments.
Conclusion
Integrating AI is a major challenge for businesses, but with a well-defined strategy and a collaborative approach, organizational fragmentation can be avoided. MAMAVI and ZERBIB's recommendations provide a valuable roadmap for harmonizing AI adoption and enhancing overall business efficiency.