Some call AI Artificial Intelligence, we call it Analyze and Insights.

RSIMS collects mass of data coming from sensors, historical information, surveys, assessments of equipment, building- or process management systems. It then analyses all this information and guide this data through its algorithm enabled funnel. RSIMS isolates all elements that are not in line with normal benchmarks, and reject them as anomalies.

These anomalies are reassessed in a thorough automated and structured process, redirected in its funnel. This double passthrough is the first iteration and gives a basic analytics report. The remaining anomalies are then closely reiterated, assessed and analyzed. This will result in an advance analytic report with an improvement strategy giving the necessary insight needed to predict future evolution. R-SIMS goes even one step further with its prescriptivity.  This prescripted future is the guidance of today’s path.

 

How does our AI works and what is the benefit of using R-SIMS.

R-SIMS is there to process al this information and will run its course to find a straightforward way to capture this data. Then it looks at the anomalies that emerge. It has been proven that AI can process a lot of data, much more than a human being will ever be able to, and it will also arrive at a solution much faster. R-SIMS pushes this large amount of data, coming from digital and conventional based information, through a funnel to create a uniform pattern. Those parts that or projected outside of the funnel will be captured, and pattern recognition is done based on its algorithms. This goes much faster, more efficient and more correct than if this were done by a person. AI can handle repetitive and precision work very well, can do this 24 hours a day, and does not suffer from any form of distraction or loss of attention. The analyses are consistently done without being influenced by the emotional state and are fast, objective and agile according to the needs of your company. In the decision phase, AI will show a predictive and ultimately a prescriptive behaviour and will make sure that your climate goals and your well-being barometer are constantly updated according to the evolution and dynamics of your company, both technically and economically, in order to reach the set goals. AI makes sure, as it were, that the advancing insight becomes reality.

 

Predictivity

R-SIMS gives insight in how elements will evolve in the future. This tangible data supports decision makers to make good decisions and to predict the evolution of sustainable strategy of the organization. R-SIMS helps to see what will happen in the future.

 

Prescriptivity

R-SIMS goes even one step further. Building on the foundations of predictive and prescriptive analytics, R-SIMS will leverage historical data to identify what could happen and take it a step further by recommending what should be done to give rise to a desired outcome. It offers insight on the best course of action for a particular situation given what the future is likely to hold.