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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. Conclusion

Get in Touch

PreviousWhy Now?

Last updated 3 years ago

Throughout this deck, we’ve covered the Archetypes and Opportunity Areas we’re most excited about. When thinking about the teams and companies we want to back, we return to our core thesis:

We believe that ; they will own the repetitive, the mundane, the dangerous and the complex while Humans will own the creative, the instinctual, and the intuitive.

M2ML’s , and frameworks paint a picture of how we’re seeing this future unfold - one in which, as we said earlier, the primary objective is to​ improve upon the limitations of human performance​. M2ML has the potential to eliminate nearly all barriers on the human species… we believe limitations are now only primarily those that we imagine.

We are living in a future where industries need to treat more, if not all, humans as knowledge workers in the near to mid-term. Amidst this transition, disruptors will produce an increasing number of jobs and tasks that machines can execute far better than humans, and increasingly without humans in the loop. Though this industrial revolution is visibly different than those we’ve experienced in the past, we are wildly optimistic about the maturation of human-computer interaction and the role that humans collaborating alongside machines will play in our future economy.

-Kira Noodleman

Kira's social media: Twitter - Linkedin -

Kira's previous insight pieces:

And send an email to: if you would like to discuss this presentation or provide comments, or if you're a Founder or are looking for a job in the M2ML space.

Machines Will Win
3 Reinforcing Waves
Waves in Motion
@kiranoodleman
Kira Noodleman
Robotics
Synthetic Biology
Blockchain
kira@beepartners.vc
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