Super Data Science: ML & AI Podcast with Jon Krohn 833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
53 snips
Nov 5, 2024 
Dr. Martin Goodson, CEO and Chief Scientist at Evolution AI, dives into the pitfalls of AI projects and why practitioners must engage in policy discussions. He elaborates on his viral article detailing ten key issues that lead to project failure. The conversation highlights the importance of human oversight in AI accuracy, the evolving landscape of data extraction technologies, and fostering innovation within startups. Goodson also touches on strategies for the UK to bolster its AI presence and emphasizes simplicity in project implementation.
AI Snips
Chapters
Books
Transcript
Episode notes
NIPS Inspiration
- Martin Goodson attended a deep learning workshop at NIPS in 2011.
- This inspired him to start Evolution AI, applying convolutional neural networks to data extraction.
Spatial Reasoning
- Simple transformer models using PDF-to-text conversion work well for basic tasks.
- Higher accuracy requires spatial reasoning, mimicking how humans use context and relationships within documents.
Scaling with Accuracy
- For high-quality data extraction, use automated methods with human checks.
- Develop well-calibrated confidence scores to allocate human resources efficiently.
