In an industry consumed by buzzwords, could there be room for yet one more? Of course there is! But hold your groans because this particular catch phrase has been doing serious, heavy-duty lifting for decades, and deserves your attention.
The first official release of 2019 is now available, version 19.0. Both Axiom and the Canary Historian have seen some new feature additions as well as a few bug fixes:
New with the release of Version 19 is the merger of the Axiom Browser and Axiom Application. Previously, Canary supported two different versions of Axiom, each with their own individual user interface differences. Now, using Electron, Canary is able to offer the same product in either browser or Windows application.
With the release of Version 19 expected within a few days, many have asked about new Axiom features. Axiom, Canary's trending and dashboarding tool, has been one of the most popular products Canary has ever released, and it continues to grow with three new features.
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.