How to Fail at AI Strategy Hamel Husain & Greg Ceccarelli
AI Summary
Title: How to Completely Mess Up Your AI Strategy
Presenters: Greg (AI Startup Co-founder, former CPO at Pluralsight) and Hamill (Machine Learning Engineer)Introduction:
- The video humorously discusses worst practices for AI strategy, focusing on how to ensure failure in AI initiatives.
Steps to Failure:
- Divide and Conquer:
- Create silos within the organization.
- Attending AI conferences without sharing knowledge with teams.
- Define a Flawed Strategy:
- Fake diagnostics and highlight random paragraphs from past documents.
- State ambiguous goals like “become the global AI leader” without specifics.
- Use Jargon:
- Communicate with overly complex jargon to obscure meaning.
- Ensure discussions exclude key stakeholders (e.g., not including mental health experts in relevant discussions).
- Mobilization:
- Assign tasks randomly to unqualified individuals.
- Launch untested AI products without quality assurance.
- Focus on Tools Over Processes:
- Use multiple tools to “solve” problems without understanding them.
- Blindly trust vendor-evaluated metrics without relevance to actual success.
- Avoid Data:
- Leaders should ignore data and analysis.
- Trust feelings over data when making decisions.
- Final Thoughts:
- Following these steps will ensure wasted resources and employee alienation, achieving a form of success in creating chaos.
Conclusion:
- The presentation emphasizes using humor to highlight poor practices in AI strategy and encourages viewing real resources for better strategies.
External Resources:
- For more insights, visit AI Exec.
- An upcoming book by the presenters on this material will be published on February 27th.
Music: [Background Music]
Notes: Further elaboration and support available post-presentation during Q&A.