Archives

Sentiment Analysis uses algorithms designed by our in-house analytics team to determine whether a narrative and commentary in Sabisu is positive, negative or neutral. This is useful in almost any [...]

I have just returned from Calgary and the 2018 Global Petroleum Show. We were very pleased to have our submission accepted for the Operational Excellence section of the technical conference, in [...]

We often see extremely simplistic approaches used to forecast utility usage in complex manufacturing or refining processes – estimating the amount of electricity you’re going to use [...]

Having just returned from a trip to Florida, I am full of enthusiasm for the analytics work we are doing here at Sabisu. I was attending the American Institute of Chemical Engineers (AIChE) 2018 [...]

Process modelling is used to identify behaviour on a plant and in some cases predict what’s going to happen next. The basic goal is to build an approximate “picture” of the [...]

Sabisu Events are a great way to mark sections of data that are of interest, either manually in a chart or automatically using either Pipelines or Machine Learning. Sabisu now provides a [...]

Up to this point Sabisu Analytics have been available for time-series data with time-stamped values. However, more and more of our customers can see value from using analytics on data from a [...]

Sabisu has always been a platform which pro-actively alerts you to changing operating conditions so you can take early action to resolve or mitigate an issue in a timely fashion. It’s now [...]

We’ve spent the last 7 years refining our cloud infrastructure here at Sabisu. It provides true collaboration, seamless data exchange and elastic compute/storage for historising & [...]

Machine learning allows users to leverage the inherent information contained within large datasets. This is not the top level information that is the raw data itself, but rather the secondary [...]