AI can significantly improve efficiency for go-to-market teams, but its success hinges on having robust core processes in place. The blog highlights the necessity of addressing challenges such as siloed workflows, disconnected systems, and inconsistent data in order to harness AI’s full potential. Without resolving these foundational issues, AI may inadvertently amplify existing inefficiencies rather than mitigate them.
The implications of failing to establish a solid groundwork include wasted resources, decreased productivity, and the risk of implementing AI solutions that do not meet organizational needs. Addressing these challenges involves a commitment to integrating systems and ensuring data consistency across departments. This approach not only enhances AI’s effectiveness but also promotes a unified strategy for long-term success in digital transformation.
👉 Pročitaj original: Forrester
