This podcast episode discusses the challenges and strategies involved in winning executive buy-in for AI projects. The speaker, Zohar Bronfman, emphasizes the importance of being honest and clear about the value and challenges of AI, as many executives have become skeptical due to unrealistic promises. Bronfman suggests starting with projects that can quickly demonstrate measurable value and build trust within the organization. He also highlights the need to embrace the possibility of failure, as it is crucial for long-term success in AI projects. The episode explores the importance of starting with simple use cases, prioritizing fast value, building internal capabilities, and collaborating with vendors on low-risk projects. It also emphasizes the probabilistic nature of AI and the need to be transparent about the challenges and limitations. Additionally, the episode discusses the dilemma of prioritizing growth and revenue optimization versus good revenue for the long-term success of the company. Bronfman emphasizes the importance of credibility and trust with executives and the need for transparency in AI projects.
Anti-commonsence
1. The podcast episode suggests that organizations should prioritize projects that can quickly demonstrate measurable value and build internal trust. This goes against the common belief that long-term strategic projects are more impactful and valuable.
2. The episode advises organizations to embrace the possibility of failure in AI projects. This may seem counterintuitive, as failure is usually seen as negative and something to be avoided.
3. The speaker recommends focusing on building internal capabilities for AI infrastructure instead of relying solely on external vendors. This contradicts the common practice of outsourcing technological infrastructure to specialized vendors.
