Debasis Dutta from Skillsoft outlines four key phases of AI maturity and emphasizes the need for change management and skilling to ensure success.
The four phases of AI maturity: Dutta describes the AI journey as consisting of exploration, experimentation, innovation, and realization, stressing that it doesn’t matter which stage an organization is in, as long as they are making progress:
Change management and skilling are essential: Dutta highlights the importance of addressing change management from the very beginning and the need for reskilling and upskilling employees:
Broader implications: The article emphasizes the significance of embracing AI technologies and the need for organizations to adapt and evolve their workforce to keep pace with these advancements. By focusing on change management, skilling, and a structured approach to AI adoption, organizations can successfully navigate their AI journey and reap the benefits of these powerful technologies.