> For the complete documentation index, see [llms.txt](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/wave-2/wave-2-opportunity-areas.md).

# Wave 2 – Opportunity Areas

By embarking on Wave 1 to operationalize processes, a firm aims to identify a set of performance metrics, an input state of parameters to optimize, a process to run and analyze results of repeated experiments and an algorithm to optimally alter input parameters for the next iteration based on the output of the previous state. This is reinforcement learning 101 - by achieving this virtuous cycle on a lab bench scale, a firm immediately moves to Wave 2 - ​scaling the device plumbing to implement this learning cycle and deploy into production via an MVP.