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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

Why Now?

PreviousWaves in MotionNextGet in Touch

Last updated 2 years ago

We know that M2ML has the potential to digitize the physical world and capture outsized economic rent. However, as investors we constantly ask ourselves - WHY NOW?

We strongly believe that the incoming decade will thrust forward M2ML interactions due to significant macro-trends that are only picking up in speed:

1) Coinciding with the frontier curve of technology expanding outward thanks to scalable ML advancements, we saw a 16% increase in the number of devices online from 2019 to 2020. This has pushed enterprise users to explore more sophisticated tools and interfaces (“consumerization of the enterprise”) to serve end-customer needs.

2) Further, just 13.3% of US jobs are classified as sedentary desk jobs while the rest are in the field or on the go - pushing forward mobile-first productivity.

3) Most urgently, COVID-19 has shown us a glimpse of a more automated, resilient future of work that extends across the supply chain and beyond the mission critical. While this trend started in Manufacturing, it has now moved well beyond into areas like Healthcare, R&D, Agriculture, Waste Management, and many more.

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