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cover of episode 833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson

833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson

2024/11/5
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

Chapters

Martin Goodson discusses the evolution of technology at Evolution AI, from traditional OCR to deep learning and transformer-based approaches, emphasizing the need for high accuracy in financial document processing.
  • Evolution AI uses compositional neural networks and deep learning initially, now transitioning to transformer-based models.
  • The company focuses on specific reasoning to achieve human-like accuracy in data extraction from financial documents.
  • Traditional OCR is insufficient for complex documents like invoices, requiring advanced machine learning algorithms.

Shownotes Transcript

Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick). Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected]) for sponsorship information.

In this episode you will learn:

  • What Evolution AI does [04:25]

  • How to maintain accuracy in large infrastructures [11:41]

  • How to cultivate innovation and creativity while meeting market demands [21:22]

  • Potential knowledge gaps for machine learning practitioners [24:27]

  • Martin’s viral article, “Ten Ways Your Data Project is Going to Fail” [30:57]

  • Strategies for the UK to become a key player in AI [59:54]

Additional materials: www.superdatascience.com/833)