Navigating the AI ROI Paradox
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Navigating the AI ROI Paradox
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About this listen
In this episode of the Value Coffee Talk podcast, host Thomas Pisello and sales strategy / value leader Steve Thibodeau discuss the complexities of ROI in AI implementations.
The pair explore the paradox of AI investments, the challenges of scalability, and the importance of governance and data readiness.
The conversation delves into Gartner's framework for evaluating AI projects, emphasizing the need for change management and effective communication of value propositions. They also highlight the benefits of leveraging external expertise and the significance of measurement in achieving successful outcomes.
Takeaways
- AI implementation often faces a paradox of ROI.
- Scalability is a critical challenge for AI projects.
- Governance and data readiness are essential for success.
- 95% of AI projects fail to deliver expected value.
- Gartner's framework categorizes AI projects into defend, extend, and upend.
- Change management is crucial for AI adoption.
- Consistent messaging across teams enhances value communication.
- Collaborative business cases foster shared ownership of outcomes.
- External expertise can significantly improve AI project success.
- Measurement is key to managing and improving AI initiatives.
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