Want to quickly understand the 5 Layer Automation Stack? Watch this quick white board video from Canary partner Walker Reynolds and 4.0 Solutions.
We recently met Dr. Patrick Bangert, CEO of Algorithmica Technologies and discussed how Artificial Intelligence (AI) can benefit process manufacturers. As an expert in advanced analytics, predictive and prescriptive maintenance, and machine learning, Dr. Bangert often finds himself having to properly explain and define AI and how it relates to the process industry. Read below to better understand what his company, Algorithmica Technologies offers.
The last official release of 2018 is now available, version 18.1. Both Axiom and the Canary Historian have seen some new feature additions as well as a few bug fixes:
In a data driven world, it’s critical that the people who need the data to make timely, strategic business decisions actually have access to it. Flow Software’s Graeme Welton explains how to get this right.
The only thing worse than too little data, is too much. Big data becomes dumb data very quickly — there is simply so much of it that you can’t see the wood for the trees, and you can’t confidently make decisions using the data unless you’ve collected it into a single, aggregated and contextualized format, in as close to real time as you can get it. To do this, companies need to ditch the spreadsheet.
Here was the idea. Let's show how Axiom would perform if we placed 70 individual trends on a single chart. Each trend polls at one second intervals and updates 100% of the time. Then, once we have all 70 trends on a single chart, let's call for 30 days of historical values.
How will Axiom respond to a request for over 180 million values?
No, it's not a typo. I didn't mean predictive. This morning I was reading an article from SparkCognition, "Changing the World by Way of Oil and Gas", and I came across the term for the first time. After some research, here is what I learned.