Uncovering the Reasons Behind the Low Success Rate of Gen AI Proof of Concepts

Wednesday, 17 July 2024, 13:34

Discover why most gen AI proof of concepts fail and how Capgemini provided insights at VB Transform 2024 to address this issue. Capgemini's revelations shed light on the key factors contributing to the lackluster performance of gen AI initiatives, offering potential solutions for organizations looking to drive success in this area.
VentureBeat
Uncovering the Reasons Behind the Low Success Rate of Gen AI Proof of Concepts

Understanding the Challenge

Companies enthusiastic about gen AI often encounter setbacks.

Insights from Capgemini

Capgemini, at VB Transform 2024, disclosed ways to overcome these hurdles.

  • Implementation Obstacles: Many fail to translate concepts into successful projects.
  • Strategies for Improvement: Capgemini suggests actionable steps to enhance gen AI implementations.

Conclusion

Addressing the root causes of gen AI proof of concept failures is crucial for driving innovation successfully.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

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