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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 – Vision & Identification

Identify ‘Automatable’ Processes

Getting started: is this process "automatable"?

The first step to convert any existing legacy process to its M2ML counterpart is to define which processes in a domain are pragmatically automatable.

TLDR - they are either 1) repeatable or 2) facilitate discovery.

In identifying 1) repeatable cycles, W1 piggybacks on the powerfully simple “Don’t Repeat Yourself” framework that emerged in software development, envisioning how repeatable tasks translate to automated cycles.

Alternately, we often encounter siloed libraries of “tribal knowledge” within organizations across sectors. This represents the most human component of any operation: processes that are manned by expensive operators aiming to create breakthroughs in desired output parameters through discovery, decision making and execution. W1 can push the limits of human intuition and identify a 2) discovery process that outcompetes human ability in said domains.

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Last updated 3 years ago

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