Google will be helping industrials-conglomerate Honeywell incorporate gen-A.I. applications for industrials, CNBC reports.
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The A.I. can specifically serve as something like a “co-pilot” to engineers, technicians, and other workers in industrials. A particular benefit here is that the A.I. can offer guidance that will walk workers through steps that more-skilled workers would otherwise be doing.
Beyond specific tasks, the gen-A.I. can also help in employee training to expedite in-house employee upskilling.
Being such a large conglomerate, Honeywell has a wealth of data to integrate with A.I.
Helping solve maintenance issues by drawing on the data set is one such gen-A.I. application here.
Another useful application is integrating A.I. into e.g. jet engines for predictive-maintenance purposes. This refers to alerting relevant parties about when the jet engine may need maintenance, repair, or even replacement.
The Prime Motivation: Save Resources and Sweat Equity
Of course, the overarching goal here is to use A.I. to speed everything up, and to make employees do better work.
In industrials, where there is indeed a labor shortage, especially where the more high-skilled jobs are involved.
Automating tasks outright is one such A.I. application that holds some appeal, then.
Being able to, for example, automate the troubleshooting of equipment with the speed and efficiency of A.I. is highly attractive. It keeps operations running with less interruptions or reliance on a human presence to correct issues.
So Much Data
Indeed, a conglomerate will have just a heap of data, most of it likely of adequate quality if the ship is tightly run.
In Honeywell’s case, this means giving gen-A.I. platforms reams of data like technical manuals and design blueprints.
The result will be generative-A.I. platforms that are conversant in the finer details of specific industrial sectors.
That, in turn, could make for chatbots that function like knowledgeable foremen. A.I. foremen that can figuratively walk around the floor offering insights into how to perform specific tasks. (Get ready for non-figuratively walking A.I. foremen in the form of robots on factory floors.)
These chatbot workplace coaches can even do this with voice commands, so that the workers can keep their eyes trained on the task at hand while the A.I. conversationally explains the steps to take.
No Internet, No Problem
So-called edge tools are A.I. that users do not need internet connectivity to use. The “edge” here is the edge of the network.
For Google, Gemini Nano is the product that seeks to offer edge uses. It will integrate with Google’s smartphones, but in industrials it will also integrate with scanners, sensors, and the like.
Using these in remote settings will prove especially helpful. Such locations often have something like a lack of strong connectivity despite widespread efforts to make internet connectivity go worldwide.
That could be the difference between a remotely located generator shutting down at an inconvenient time, and not. Specifically, being caught by A.I. predictive-maintenance algorithms that identify the generator as potentially malfunctioning in the near future.
Training More More-Skilled Workers
For A.I. companies, one of the selling points that have emphasis in sales pitches involves the idea that A.I. will make workers much more knowledgeable in the long run.
While A.I. automates the “boring” tasks, the humans usually doing that work will now have a more highly skilled job in the form of maintenance technician for A.I. tools.
In certain cases, it is suggested that even certain blue-collar roles will go the way of many white-collar jobs, specifically in that they will be remote.
Just wake up, slap on the V.R. headset, and mediately manipulate the factory from the confines of your own home. But this specific application is some time down the line from becoming widespread.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on A.I. technologies of interest to business owners, with especial focus on the impact this tech will have on commerce as a whole.
On a usual week, there are multiple GO AI blog posts going out. Here are some notable recent articles:
For Businesses and Other Organizations, What Makes a Successful Chatbot?
IBM Watson vs. ChatGPT vs. Gemini: How Will Each Affect Search Engines?
Using A.I. to Find Resources for Business Owners
How Would Restricting Open-Source A.I. Affect Business Owners?
The EU’s A.I. Act Has Become Law: The Implications for Business Owners (Especially American)
In addition to our GO AI blog, we also have a blog that offers important updates in the world of search engine optimization (SEO), with blog posts like “Google Ends Its Plan to End Third-Party Cookies”.
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