Energy helps to power artificial intelligence, but we don’t talk about the importance of AI powering energy. That refers to the data sets we need to be able to drive more production with the same infrastructure, with less downtime and fewer dangerous incidents, and the ability to reduce emissions. Robots and AI from the Gecko landscape have been able to uncover the ability to create data sets that never existed before, about things in the physical world. Gathering information and data sets on how assets are performing helps to drive the ability to optimise how every single component and asset that powers our energy sector, actually works. It’s the ability to create more with less, and it’s the ability to ensure that we never have a catastrophic failure.
While the AI algorithms are quite incredible, they are nothing without the input that goes into those models. The data sets that exist are immense, and we know very little about those that have not been digitised, that must drive the data inputs into these algorithms. This is why most AI solutions fail, because the math that’s being run in the algorithms is just a byproduct of the data sets that are driving the insights. That’s why Gecko is one of the 5% of companies delivering meaningful impact and ROI, because we go out and collect this data with our robots to power our AI.
Every cent counts in a barrel. The inability to gather information and then digitise it reduces the ability of tools like AI algorithms to be able to drive better insights. So the ability to gather tens of millions times more data, and digitise it with robots about the health and performance of critical assets allows our AI models to be able to extend the useful life, predict where problems are going to occur, and optimise how those assets are able to perform.
As energy demand increases, so does the demand for skilled labour that’s in short supply. The ability to be an expert in these sectors sometimes takes 20 to 30 years, and we just don’t have that timeframe. So robots and AI that we build enable people to sense these things with only a few months of experience to become an expert. Then the AI allows them to analyse and make decisions using better data sets, that reduce the amount of experience and knowledge that they had to have previously.