To successfully transition to a GenAI-enabled workflow, distributors should assess their current systems, define clear objectives, invest in robust data infrastructure, and integrate APIs for seamless communication. The article outlines a strategic framework that includes leveraging AI agents across functions, conducting pilot tests, and championing employee training and change management. By adopting this approach, distributors can harness GenAI's potential to drive innovation, operational excellence, and competitiveness, with CTOs playing a crucial role in ensuring ethical implementation and sustainable growth.
Key takeaways:
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- Distributors need to transition to a cohesive, future-ready enterprise architecture to eliminate silos and streamline processes.
- Generative AI (GenAI) can help unify data models, automate workflows, and provide actionable insights.
- Implementing GenAI requires assessing current systems, defining objectives, investing in data infrastructure, and integrating APIs.
- Employee training and change management are crucial for successful adoption of GenAI-powered workflows.