An overview of the leadership strategies employed by top AI-assisted engineering organizations.
To realize meaningful returns on AI investments, leadership must take accountability and ownership of establishing best practices, enabling engineers, and ensuring proper guardrails are in place. When prompting practice and reflexive AI use is driven from the top down, engineers can align on the highest value use cases and experience peak productivity gains.In this session, Justin Reock, Deputy CTO at DX, will explain what the most effective leaders of AI enabled engineering organizations are doing to drive satisfactory utilization, augmentation, and psychological safety across their teams. Based on interviews, use cases, and data, leaders will walk away with an understanding of how to best lead their teams through mature AI rollouts.
Key takeaways
- Measuring and improving AI adoption and efficacy
- Nurturing a psychologically safe AI engineering culture
- Driving adoption through grassroots initiatives and experimentation
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