Gregory Pudovsky
Published: October 18, 2024 at 11:40 am Updated: October 18, 2024 at 11:40 am
Artificial Intelligence (AI) is rapidly being implemented across every major industry there is today. Its role in streamlining operations and making processes smarter and more efficient is virtually endless.
This widespread adoption by various industries shows the versatility of AI and its growing influence in areas that were once considered far removed from advanced technology.
1. The Gambling Industry
Gaming is one industry that has undergone a significant transformation with the integration of artificial intelligence and is benefiting a lot from AI-driven systems. Its application in game development and virtual reality might not come as a surprise to many, but its various uses in iGaming platforms may not be expected.
This revolution in online gambling comes amid the industry’s growing popularity across the world. Even in places like Korea and Thailand that have strict prohibitions against most forms of gambling, iGaming still has a huge market through players looking for internationally licensed platforms that accept them.
Online casinos are currently using AI for a variety of things like helping to detect fraud, to profile players, and to optimise player experiences while engaging with different games. According to iGaming expert Ernest Masuka, the best online casinos in Thailand are often offshore sites, meaning that they are based and regulated abroad in countries like Malta and Gibraltar. Malta is widely recognised as a tech hub, where AI has been adopted by many businesses. The casino sites based there now use AI to ensure that the gambling experience offered is safe and secure.
AI checks on such platforms can help ensure players aren’t using multiple accounts or trying to play using bots. It can also help players avoid internal checks. However, while this can ordinarily leave players in a vulnerable spot, AI can further help them keep track of suspicious behaviour like rapid betting, repeating gameplay patterns, or IP address, protecting them from fraud and helping them regulate their own playing time so they can play responsibly.
2. Agriculture
The agricultural industry is one of the industries people would never expect to utilize AI services. AI is transforming farming with precision agriculture, where it helps monitor soil conditions, predict crop yields, and optimize irrigation, among other things.
It uses sensors to monitor the soil conditions and check whether it has adequate nutrients, pesticides, and water. If they detect that the moisture levels in the soil are below expected levels, they will send this information to the farm’s control system.
Based on this information, the system can automatically turn on irrigation systems, such as sprinklers or drip irrigation, to provide the right amount of water to the crops. This ensures that plants receive adequate moisture without overwatering.
Depending on the system in place, the farmer can also be notified through alerts, allowing them to manually intervene if needed or adjust settings for irrigation schedules. Besides sensors, smart farming also uses drones to collect information about crops, soil, and livestock. The use of AI in agriculture is expected to expand in the future.
3. The Wine Industry
AI’s role in the wine industry starts in the vineyard by helping vineyard owners with various farming processes such as when to irrigate their plants, when to apply pesticides, or predicting the best time to harvest their grapes. After the grapes are harvested, companies use AI to improve wine quality by suggesting blends and predicting the best time to put the wine in barrels.
The use of AI in the wine industry even extends to the customer by recommending wine pairings based on individual preferences. The way that AI has expanded into fields such as the wine industry is a clear indication of how it is shaping our digital future.
4. Forestry and Environmental Management
AI is playing a pivotal role in forestry and environmental management through various activities like acoustic monitoring and camera traps. It’s able to recognize animal species from camera traps and monitor their populations, making it easy to identify and track endangered species.
Using acoustic monitoring, AI is able to process audio recordings from forests to detect and differentiate animal and human sounds, thereby monitoring biodiversity and giving notifications whenever humans trespass on protected areas.
AI is also used to analyze satellite and drone images to detect areas where illegal deforestation activities might be taking place. Although AI models can easily pick up this data, it usually takes human inspectors longer to notice. Being able to forecast areas that are at high risk of deforestation gives people enough time to proactively manage the areas and enforce regulations that help preserve those regions.
Another area where AI plays a very important role is in detecting forest fires. By analyzing satellite and sensor data, AI is able to detect forest fires before they spread out of control. AI systems use thermal imaging, wind pattern data, and humidity levels to predict how a fire will spread, helping those putting out the fire plan more effective strategies to contain the fire.
Besides detecting fires, AI models can also assess things like temperature, humidity, vegetation type, and historical fire data to predict areas that are likely to have wildfire outbreaks. This allows the responsible parties to put preventive measures in place.
5. Waste Management and Recycling
AI is helping to improve recycling by using robots and machine learning to identify and sort waste materials by separating recyclable items from general waste, making the recycling process faster and more accurate. The sensors and cameras that these robots are equipped with can recognize different types of materials, such as plastic, glass, metal, and paper, and even electronics that can be recycled.
If waste is selected and grouped manually, AI systems can be incorporated to continuously monitor the quality of recycled materials and detect contamination or incorrectly sorted items. This improves the quality of the final recycled product, making it more valuable and useful in new manufacturing processes.
Conclusion
The growing use of AI in various industries, including those that are viewed as being far removed from technology, shows that it is not just a tool for futuristic industries but a practical solution for age-old challenges.
It is a tool that if used wisely can benefit the masses but can also cause harm in the wrong hands. As AI continues to evolve, it will likely expand into even more unexpected fields, bringing innovation to areas we never thought could benefit from such technology.
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About The Author
Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilizing his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.
For more articles, visit DeFi Daily News


Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilizing his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.
For more articles, visit DeFi Daily News