Wardley Maps - Explaining how OceanMind use Microsoft Azure & AI to combat Illegal Fishing

Case Study

Illegal fishing is having a devastating impact on the bio-diversity of the worlds oceans. With 1/3 of all fish stocks under threat the challenge is enormous. OceanMind apply AI and machine learning over billions of data points to detect illegal fishing activity and report this for law enforcement and compliance. With big ambitions and aging technology OceanMind needed a digital transformation strategy that would allow them to scale their mission without costing the earth.

Digital transformation is hard enough as it is. The ever shifting sands of business and technology makes makes strategy feel like a black art, where success stories feel more like luck than judgement. This was exactly the problem that OceanMind had when faced with migrating their solution to Microsoft Azure.

At endjin, we are constantly on the look out for tools that help us and our customers make better decisions, based on information, context and awareness rather than blind faith. One of our favorites is Wardley mapping, which applies the notion of maps, as a way to plan and guide you to your intended destination very literally indeed. Simon Wardley, in his eBook, points out that most business mapping techniques we are sold are not maps at all. Over the years, seemingly as a result of being bombarded by business process hype, the term map has been watered down to the point that it has very little meaning at all.

This video explains how Wardley mapping was applied to identify and justify OceanMind's successful Azure migration strategy. If you have never come across Wardley mapping before you will be able to follow along, but I strongly recommend reading Simon's eBook if you are keen to try it for yourselves.