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In this episode, Ricardo discusses Meta's recent development of a "self-thought evaluator," which uses synthetic data to train AI models instead of real human-generated data. This innovation could transform project management by creating lessons learned and risk insights from simulated, rather than real, projects. Ricardo highlights the potential for synthetic data to disrupt the field, as it may reduce the competitive advantage of organizations traditionally relying on real experiences and knowledge. He views this advancement as exciting yet unsettling, given the impact it could have on the value of genuine expertise and experience in project management.
Listen to the podcast to know more.
By Ricardo Viana Vargas4.5
3939 ratings
In this episode, Ricardo discusses Meta's recent development of a "self-thought evaluator," which uses synthetic data to train AI models instead of real human-generated data. This innovation could transform project management by creating lessons learned and risk insights from simulated, rather than real, projects. Ricardo highlights the potential for synthetic data to disrupt the field, as it may reduce the competitive advantage of organizations traditionally relying on real experiences and knowledge. He views this advancement as exciting yet unsettling, given the impact it could have on the value of genuine expertise and experience in project management.
Listen to the podcast to know more.

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