Algorithms take a sniff of perfume at Symrise fragrance company.

AI Companies Go Vertical with Surprising Business Applications

We often include the term “vertical markets” in our descriptive word lineup about each article we publish. The fact that AI has had such dramatic effects on so many every day and so many unusual businesses is not only stunning in what it’s producing but the speed at which industries are adapting their products to synchronize with AI.

We found a list of 11 different uses for AI in markets that you might never expect it would even consider being used. An article from posted the list and insights as to how AI influences so many different fields.

“Artificial Intelligence has been credited as a major disruptive force leading us towards digital transformation,” the article explains. “From helping in developing high-end robotics to weather predictions, stock market crash, drug discovery, to understanding customer data, better filling system, and so forth, AI is quite instrumental in the technological advancements we see today. Though it is a common thought that AI will rob us of our employment opportunities and jobs, in contrast, it has been observed that AI has helped us by augmenting our capabilities and assisting us in numerous activities, including the trivial ones. While we are all quite aware of how AI is shaping industries generally functions, there are some uncommon applications of AI too. Let us discuss some of them.

AI In Brewing

A London-based company called IntelligentX Brewing Co. brewed the world’s first beer using AI assistance. The chatbot takes feedback from customers on their flavor preferences, drawn from ‘yes’ or ‘no’ questions and a 1-10 rating system. Then the bot interprets the information and summarizes it for human brewers, who create crafted recipes. Microsoft and Carlsberg started a   “Beer Fingerprinting’ project in2017, using machine learning and high tech sensors to identify subtle nuances and aromas.

Basketball Instructor

Researchers from Carnegie Mellon University and DeepMotion Inc used deep reinforcement learning to imitate human basketball players caught on motion capture data to teach an AI model how to dribble like a pro. Then AI teaches a simulated basketball player through trial and error about how to control the ball, both while stationary and while running.

AI Buzzing Bees

While the population of bees is rapidly declining from global warming and deforestation, this could also cause crop failure and loss of the remaining green cover on the Earth, from lack of pollination. Now, researchers have developed a robot bee drone that incorporates artificial intelligence, GPS, and a high-resolution camera to pollinate like honeybees. Also, École Polytechnique Fédérale de Lausanne students in Switzerland designed ApiZoom, an AI tool to scan for bee-threatening mites to alert beekeepers.

AI Perfumer

IBM Research and German fragrance house Symrise collaborated to create a new method of developing perfumes by analyzing existing fragrance formulas alongside historical sales data to hone marketing information on buyers of each scent. The Philyra algorithm, created in IBM’s Thomas J. Watson Research Center, can develop new perfumes targeting narrow market segments.

Seven more examples of AI creating or becoming a part of vertical markets worldwide are described in the story. Some oinvolve more digital attempts to reproduce human senses and some go much deeper into reporting social crimes against children in Africa. It’s a taste of what’s to come.