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6 non-tech industries you didn’t realise are using AI

When thinking of careers involving artificial intelligence, what springs to mind? We’ll hazard a guess that software engineers and data scientists are at the top of the list.

While it’s true the demand for tech workers in Australia is on the rise, with a reported growth of 8% over the last 12 months alone, the tech sector isn’t the only industry requiring future workers to have the skills and knowledge to harness the potential of AI.

The truth is, as AI technology continues to evolve and broaden its capabilities, more and more industries are finding useful ways to harness these benefits to reduce errors, improve efficiency and inspire innovation.

Students are now faced with the reality that no matter which career path they choose, they will likely be using artificial intelligence in one way or another. Even the image for this blog was created using Canva’s “Magic Design” AI tool!

This is why equipping our students with the skills and knowledge to thrive in a tech-driven workforce from an early age has never been more important.

So how are non-tech industries already using AI? Here are six examples of how AI technology is having a positive impact on industries you might not expect.


1. Sport

Emerging AI and computer vision technologies are helping sports teams collect comprehensive player-tracking data.

Across a variety of sports, data can be used to evaluate players’ skills and performance, highlighting strengths and weaknesses, and allowing teams to make better recruitment choices as well as insightful tactical decisions in real-time.

In tennis, AI is used to track the movements of players and their balls, identifying movement patterns in players and their opponents, this helps reduce the incidence of injury and identify opportunities to improve technique. AI can also go as far as analysing historical data from previous matches and recommending the most effective strategies against certain opponents. Talk about a competitive advantage!


2. Fashion

AI is used in the fashion industry in numerous ways, including assisting the creative design process, personalising shopping experiences and helping tailor marketing campaigns.

Fashion tech company Heuritech has developed a service that uses AI to scan millions of social media images and videos daily, and offer predictive analytics to fashion brands.

These analytics allow brands to predict fashion trends months in advance, optimise their strategies and reduce waste as they meet product demand more accurately.


3. Food

AI technology has a number of valuable applications across the food industry, including sorting fresh produce, food safety monitoring and optimising automated cleaning systems.

AI is even being used to anticipate consumer preferences and develop new products. For example, in 2017 Coca-Cola used high-tech vending machines to interact with customers and allow them to mix-and-match flavour combinations. The machines tracked the most popular flavour combos and as a result, Coca-Cola launched Cherry Sprite!


4. Photography

AI has many applications in photography that not only help with enhancing the quality of photos but also allow photographers to wildly alter images.

You may have used some of these yourself. Think: face and feature recognition, automatic optimisation of camera settings and preset suggestions, and the power to select objects and remove backgrounds.

Another very cool development is the ability to track fast-moving objects and keep them focused — a revolutionary development for sports and wildlife photography.


5. Construction

In the construction industry, AI can be used to improve structural designs and optimise layouts, as well as help workers find issues within designs before starting construction.

AI can even add additional layers of consideration to designs. The research team at WeWork used AI to design their workspaces to align with the way people wanted to use them. Using data and neural networking, they predicted the frequency of use for each of their meeting rooms and were able to more accurately design the space that would best suit people’s needs before construction commenced.


6. Agriculture

Incredibly, researchers have forecast that the market for AI-powered tools in agriculture will reach US$12 billion (approximately AUD$18 billion) by 2032.

Along with increasing efficiency, and improving management systems and decision-making, AI is also helping farmers reduce chemical use by improving farmer’s ability to identify issues and target treatments accordingly.

A mobile phone app that identifies pests and diseases, “Tumaini”, was created by the Consortium of International Agricultural Research Centers. Tumaini works by having users upload a photo of a suspected pest or disease, AI then compares the image with a database of 50,000 images. The app can then analyse the issue and even recommend treatment programs.

These six examples are just the tip of the iceberg, with advances in healthcare, manufacturing, finance and more on the rise. We are well and truly working in a tech-driven world.

Equip your students with the skills and knowledge they need to thrive in whichever career they choose with our free full day of engaging and interactive learning.

Sources

Department of Industry, Science and Resources (2023, May 30). Number of Aussie tech workers on the rise. Industry.gov.au. Retrieved January 15, 2024, from https://www.minister.industry.gov.au/ministers/husic/media-releases/number-aussie-tech-workers-rise

Rizzoli, A. (2021, October 1). 7 Game-Changing AI Applications in the Sports Industry. V7labs.com. Retrieved January 15, 2024, from https://www.v7labs.com/blog/ai-in-sports

Oliveira, W. (2023, December 5). Artificial intelligence in tennis: Movement analysis, game strategies. Linkedin.com. Retrieved January 15, 2024, from https://www.linkedin.com/pulse/artificial-intelligence-tennis-movement-analysis-game-oliveira-srnyf/

Sorbello, S. (2022, April 18). Heuritech: AI for fashion trends. HBS Digital Initiative. Retrieved January 15, 2024, from https://d3.harvard.edu/platform-digit/submission/heuritech-ai-for-fashion-trends/

Chidinma-Mary-Agbai. (2020). Application of artificial intelligence (AI) in food industry. In GSC Biological and Pharmaceutical Sciences (Vol. 13, Issue 1, pp. 171–178). GSC Online Press. https://doi.org/10.30574/gscbps.2020.13.1.0320

Purdy, C. (2017, September 27). AI told Coca-Cola to make Cherry Sprite. So it did. Qz.com. Retrieved January 15, 2024, from https://qz.com/1088885/coca-cola-uses-ai-robots-to-invent-new-sodas-like-cherry-sprite

Lawton, R. (2022, June 15). Artificial intelligence in photography? What happened to the ordinary kind? Digitalcameraworld.com. Retrieved January 15, 2024, from https://www.digitalcameraworld.com/news/artificial-intelligence-in-photography-what-happened-to-the-ordinary-kind

Ellis, G. (2023, July 12). The Rise of AI in Construction. Constructionblog.Autodesk.com. Retrieved January 15, 2024, from https://constructionblog.autodesk.com/ai-construction/

Phelan, N. (2016, November 9). Designing offices with machine learning. Wework.com. Retrieved January 15, 2024, from https://www.wework.com/ideas/research-insights/designing-with-machine-learning

Hollis, J. (2023, November 30). 3 ways AI can help farmers tackle the challenges of modern agriculture. Theconversation.com. Retrieved January 15, 2024, from https://theconversation.com/3-ways-ai-can-help-farmers-tackle-the-challenges-of-modern-agriculture-213210

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