Data Continuity, Granularity, and Latency
Following up from our last post, we will take a close look at Continuity, Granularity, and Latency in this post. What are these aspects of data quality and why are they so important? Continuity – How much source data is available
6 Aspects of Data Quality that Align with Problems
When looking at controlling costs as an oil and gas operators, it is important to look at the data quality for what you are using to solve problems and to measure your ROI. Do you have complete enough data at
Operator Challenges in Controlling Costs
E&P companies are facing common pressures across the oil and gas industry to reduce lease operating expenses. The prices of oil and gas has swung widely - even seeing hundred dollar per barrel swings in the recent past. Pandemics, OPEC effect
The Four C’s of Data Quality
It seems somewhat simple, but the better the source data is, the better the resulting predictions or recommendations are going to be. Think of data as the rocket fuel for your AI journey. Here is a set of dimensions that
Event Detection: What Kind of Events Can AI Detect?
When it comes to event detection, a common question we receive is, what kind of events can AI detect? We sub-categorize these events of interest into four different types: 1) High-Risk Events, 2) Sub-Optimal States, 3) Events Needing More Lead
Production UNIFIED MONITORING: Tools to Enable the Front Lines
We have created a tool that empowers both Engineers and Operators on the front lines. Operators are the "boots on the ground", the front line, and empowering them is key to much of the success. The fewer programs that Operators