Me, Myself, and AI Feed Drop: Why Only 10% of Companies Succeed With AI With Sam Ransbotham, Professor at Boston College
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Jul 30, 2024 In this intriguing discussion, Sam Ransbotham, a Boston College professor specializing in AI implementations, dives into why only 10% of companies succeed with AI. He highlights the common pitfalls of treating AI as a mere add-on rather than a transformative tool. Sam critiques outdated practices in healthcare, such as reliance on fax machines, and urges for innovation in tech solutions. He explores AI's evolving role in education, signaling both its potential and its challenges, while emphasizing the necessity for thoughtful regulations in this fast-paced landscape.
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Sourcing AI Talent
- Companies use both internal and external talent for AI projects.
- Technology is becoming commoditized, making internal talent with organizational knowledge more valuable.
Machine Learning Accessibility
- Download freely available code and utilize laptops for machine learning projects.
- Modern tools have become incredibly powerful and accessible, exceeding past contest-winning performance.
LLM Value Realization
- Joel Beasley found significant value in using large language models (LLMs) after initially dismissing them.
- His company uses a Slack channel to share effective prompting strategies and improve LLM usage.