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Council Post: Bridging The Gap: Managing AI Projects Without Being An AI Expert

Feb 27, 2025 - forbes.com
The article discusses the challenges and strategies for managing AI projects without having deep technical expertise in AI. It highlights that AI projects differ from traditional IT projects due to their data dependency, iterative development, uncertain outcomes, and potential misalignment with business goals. To manage these projects effectively, project managers should understand basic AI concepts to improve communication, manage risks, and ensure alignment with business objectives.

The article suggests several strategies for non-technical project managers: learning AI basics through online courses and reading, collaborating closely with technical teams, relying on technical advisors, focusing on business outcomes, using agile practices, and communicating clearly with stakeholders. By adopting these approaches, project managers can successfully lead AI initiatives by bridging the gap between technical teams and organizational goals, ensuring that AI projects deliver meaningful results.

Key takeaways:

  • Understanding AI basics is crucial for effective communication and risk management in AI projects.
  • Collaboration with technical teams and reliance on technical advisors are essential for project success.
  • Focusing on business outcomes ensures that AI projects deliver organizational value.
  • Adopting agile practices helps manage the iterative nature of AI development.
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