Developments in predictive A.I. platforms could have several important applications in the food industry. An interest one in particular is sentiment analysis for animals on farms and in slaughterhouses. This technology could help businesses in the food industry get a better sense of animals’ emotional states in their farm-to-table conditions.
The Five Most Key Takeaways from This Blog Post
Some animal-related A.I. projects are truly ambitious. For instance, trying to decode the songs of whales. But a more immediate and readily achievable application is discerning whether an animal is emotionally well.
Animal behavioralists, who are specialists that can expertly assess whether an animal is indeed in a certain emotional state, have contributed to A.I. research projects related to this.
With a growing call for more humane business practices across the board, this technology will prove helpful for businesses involved in the food industry. Since the world shows no sign of universal adoption of veganism, the demand for meat will likely remain high, and so ensuring conditions for animals meet certain guidelines could involve this kind of A.I.
Analyzing animal sounds, even if not for the express purpose of predicting an animal’s possible emotional state, is a surprisingly popular field of A.I. research. In fact, even tech giant Google has dipped its toes in those waters of research.
Even for business owners not directly involved in running farms and slaughterhouses and other key points in the farm-to-table chain, these tools could help identify what clients are worth partnering with.
Pet Sounds
Let us continue from that last point, shall we?
For business owners that sell food products, such as restauraunteurs, the question of sourcing becomes an increasingly important one in the contemporary world.
That is because many people have the Internet at their fingertips (figuratively and physically, with their smart devices). As such, doing some digital sleuthing can turn up plenty of insights into the sources of the foodstuff items that conveniently, magically (it sometimes seems) appears in the supermarket aisles.
If enough consumers cry foul (fowl?) at the unethical treatment of animals somewhere in a restaurant’s supply chain, then that could indeed be bad for business.
A Useful Anecdote
To consider why a business in the food industry ought to consider the ethical implications of animals’ emotional states as predicted by A.I., consider this anecdotal scoop that is an exclusive from the writer of this blog post, heard from a retired relative.
This retired relative knows a fellow retiree who was once at a decent height on the (food) chain of a globally recognizable fast-food chain.
One day on the job this retiree, a pre-retiree at that point in time, went to visit one of the farms where food was sourced for the company.
The pre-retiree, until then ignorant of the exact conditions on that farm, had direct eyewitness of multiple chickens crammed into single cages, with barely any room for movement.
The pre-retiree, knowing the P.R. consequences if, say, a member of a news media organization were to get eyewitness and camera-witness of these conditions, immediately demanded of the farmer to change the conditions.
The farmer effectively laughed it off. Did the pre-retiree not understand the level of expensive change that would require?
The pre-retiree effectively said Fine, have it your way, and promptly went to a phone to call a competitor farm.
Could this farm meet better conditions than what was here witnessed? Sure the competitor could, but it would take some time. Maybe a year or so to get those exact conditions.
The pre-retiree calls a higher-up, gets the higher-up’s blessing to partner with the competitor farm, then promptly goes back to inform the cockily obstinate farm representative of the farm’s loss of its biggest client.
With A.I. sentiment analysis, farms that fail to meet the standards that A.I. could help raise for ethical farming conditions will suddenly find themselves in a position much like this one, with profitable clients at risk.
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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