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  • Introduction
    • Machine-to-Machine Learning White Paper Introduction
    • What is M2ML?
    • 3 Waves - Overcoming Limitations of Human Performance
  • Wave 1
    • Wave 1 – Vision & Identification
    • Wave 1 – Archetypes
    • Wave 1 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
  • Wave 2
    • Wave 2 – Building an MVP
    • Wave 2 – Archetypes
    • Wave 2 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
    • Wave 2 - The North Star: Building for the J-Curve
  • Wave 3
    • Wave 3 – Building a Platform
    • Wave 3 – Archetypes
    • Wave 3 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
  • Insights
    • Identifying Winners Across Waves
    • Case Study: Rapid Robotics
    • Go-to-Market Playbook
      • Product
      • Sales
      • Platform
    • Waves in Motion
  • Conclusion
    • Why Now?
    • Get in Touch
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  1. Wave 1

Wave 1 – Opportunity Areas

We often encounter​ siloed libraries of “tribal knowledge”​ across sectors, particularly those that are data-heavy. These are often the most human components of any operation - labor intensive processes that are manned by expensive operators utilizing intellect, experience and domain knowledge to create breakthroughs in desired output parameters. The key lever of Wave 1 Opportunity Areas is identifying which processes in a domain are eminently industrializable.

PreviousWave 1 – ArchetypesNextAutomating & Roboticizing Stodgy Industries

Last updated 3 years ago

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