Why “Move Fast and Break Things” Doesn’t Work for AI [AI Today Podcast]
Jul 10, 2024
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The podcast discusses why the 'Move Fast and Break Things' mentality does not work for AI projects, emphasizing the importance of deliberate planning and iterative success. It explores the high failure rates of AI projects and the need for a standardized methodology in AI implementation to avoid pitfalls and ensure success.
Focus on non-technical aspects like purpose and beneficiaries is crucial for AI project success.
AI project management requires a strategic, deliberate approach over 'move fast and break things' mentality.
Deep dives
Challenges with the Silicon Valley Ethos
The podcast discusses the common focus on technology aspects of AI projects, neglecting crucial non-technical elements. It highlights the importance of answering questions regarding the purpose, beneficiaries, and sustainability of AI initiatives. Contrary to the Silicon Valley 'just do it' approach, the hosts emphasize the significance of considering the why, where, and who aspects of AI implementation beyond the technology itself.
High Failure Rates in AI Projects
The podcast reveals the alarmingly high failure rate of AI projects, averaging between 70 to 80%. It explains the negative consequences of these failures, such as financial losses, diminished ROI, and organizational reluctance to invest in future AI endeavors. The hosts stress the need for a shift from the 'move fast and break things' mentality, advocating for a more strategic and deliberate approach to AI project management.
Importance of Methodology and Planning in AI Projects
The episode emphasizes the critical role of methodology and planning in AI projects to overcome common pitfalls. It highlights the lack of standardized processes in organizations, leading to rushed deployments and ineffective outcomes. By advocating for a thoughtful approach encompassing thinking big, starting small, and iterating often, the hosts emphasize the need for structured frameworks to guide successful AI implementations.
Move Fast and Break Things worked for high flying Silicon Valley startup megatech companies but it doesn’t work for AI projects. Between 70%-80% of AI projects are failing to meet their objectives. With stats like this, it’s clear that breaking things isn’t leading to success in AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dig into this topic.