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Effective AI implementation in enterprises requires significant change management efforts beyond just adopting new models.

AIChange ManagementEnterpriseOct 4, 2026score 0.172 posts · 0 replies across 1 instances
The thread discusses the challenges of implementing AI in enterprises, emphasizing that the main obstacle is not the technology itself but the need for effective change management. It highlights the gap between decision-making and implementation, suggesting that organizations often prioritize new technologies over necessary organizational changes.

Claims

Effective AI implementation in enterprises requires significant change management efforts beyond just adopting new models.
Parent: AIEntity: Enterprise AI implementationImpact: positiveDate: Oct 4, 2026Target: The necessity of change management for successful AI implementation

Source posts

@[email protected]
AI isn’t magic. In our conversation with Sophie Dionnet (Dataiku), she cuts to the real enterprise AI trap: not models, but change management. “Taking a decision is one hour, implementation is two years.” That gap is where AI succeeds or stalls. Watch on YouTube: https://youtube.com/shorts/Rh2kZ4P_ib4 #EnterpriseAI #ChangeManagement #Dataiku #AI
0 boosts · 0 favs · 0 replies · Oct 4, 2026
#ai#dataiku#changemanagement#enterpriseai
@[email protected]
Are we chasing AI progress—or avoiding change? In our conversation, Sophie Dionnet of Dataiku argues that most organisations don’t need the latest model. The harder work is change management: turning useful technology into real transformation. The trap is choosing the new toy over putting AI to work. Watch on YouTube: https://youtube.com/shorts/1iSO634q-Lw #EnterpriseAI #Dataiku #DigitalTransformation #ChangeManagement
0 boosts · 0 favs · 0 replies · Oct 4, 2026
#changemanagement#digitaltransformation#dataiku#enterpriseai