How an IT and Artificial Intelligence Course Can Be Applied Across Industries

When we think of artificial intelligence tools, we usually think of things like ChatGPT or AI image generators. Of course, this is not all AI can be used for.

Artificial intelligence can be applied across many industries. However, the places where AI is most successfully applied are usually professions or activities where large datasets must be analysed in small periods of time. While humans can do these activities, AI can do them much more efficiently than we can.

While many individuals believe that AI will render their jobs obsolete, according to Pink News, there are predictions that AI will instead create 97 million new jobs by 2025. One will simply need to adapt. Many businesses are already struggling to find qualified people who can create, train, and maintain AI and machine learning systems. If you are studying an AI course or would like to study an AI course, you are definitely on the right track. The industries mentioned above, are just a few of many. Artificial intelligence is applicable in virtually every industry. Whether you choose to study a course or a degree, this is an extremely in-demand field.  Throughout the course of this article, we will cover some interesting applications of artificial intelligence tools.

The Impact of Artificial Intelligence on the Creative Industries:

The most popular application of AI is in the creative industries. Specifically, with ChatGPT for the generation of text and MidJourney for the generation of images. However, AI can be used in fields like music composition as well.

The Beatles’ first and only song released in the 21st century was a product of artificial intelligence. Their last “new” song “Now and Then” was created using AI to bring an unreleased demo recording by the late John Lennon to life.

The Use of AI in Environmental Conservation:

Artificial intelligence doesn’t only apply to the creative industries. AI can also be used in an industry like wildlife conservation. It can be used to do jobs like monitor wildlife populations, track illegal poaching activities, predict climate changes, and optimise conservation strategies.

Dr Tanya Berger-Wolf, a computational ecologist, did an interview with Emma Reid of CISCO. During the course of the interview, Dr Berger-Wolf spoke about how she has developed an AI-based algorithm, that can be used by conservationists and other professionals that study wildlife. This algorithm can track animals and identify specific individuals in photos of herds or groups.

Of course, this is not the only application of AI in environmental conservation. AI can also be applied in sensors used for wildlife monitoring and can trigger alerts for animal movement and possible poaching activities.

Artificial Intelligence with Mental Health Diagnostics and Treatment

As it has with environmental conservation, AI has proven to be extremely helpful in the mental health field.

For example: Ellipsis Health analyses speech patterns that signal mental health issues even if the speaker is unwilling or unable to self-report. Of course, early detection is critical in the mental health field and AI can help doctors detect possible problems before they turn into crises.

In addition to AI’s innovations in the detection phase, those same vast databases can help to offer personalised treatment plans using a patient’s personal medical history. By analysing vocal patterns, patient medical histories, behavioural patterns, and responses to past treatments, artificial intelligence can curate a course of action that treats patients on an individual level.

The outcome is a more nuanced and effective course of action. For instance, if a patient’s vocal data coincides with others who have responded well to cognitive-behavioural therapy, the artificial intelligence system can prioritise this in their treatment plan.

Precision Agriculture and AI:

AI can also be very useful in the precision and sustainable agriculture industry. Artificial intelligence can aid in sustainable agriculture practices by analysing soil data, predicting crop yields, and identifying pest and disease outbreaks. This can help farmers optimise their crop production while reducing the use of pesticides and fertilisers.

For example: Farm Wise, a geospatial startup in India, utilises AI-powered robots to precisely identify and remove weeds in agricultural fields, reducing the need for chemical herbicides and promoting sustainable farming practices.

Farm Wise also helps farmers optimise yields and promotes sustainable farming practices by using AI-powered drones to monitor farms during the course of crop growth. This data enables farmers to make informed decisions and implement preventative measures when it comes to pests and diseases.

How Artificial Intelligence Is Used in Financial Fraud Detection:

In addition to the industries mentioned above, AI can be used to detect financial fraud. AI fraud detection is a technology-based approach that employs machine learning to identify fraudulent activities within large datasets. It involves training algorithms to recognise patterns and anomalies that signal possible fraud. It starts by establishing a baseline of normal transaction patterns and user behaviours. The system then continuously monitors data, looking for deviations from this norm. As it encounters new and varied data over the course of time, the artificial intelligence model fine-tunes its parameters. By continuously learning from new data, these machine-learning models improve their predictive accuracy and adapt to evolving fraudulent tactics.

 

Online gaming platforms that make use of virtual economies or pay gates are increasingly utilising this sort of technology. These platforms use artificial intelligence to monitor for fraudulent transactions like the use of a stolen credit card to purchase in-game currency. Of course, this type of technology not only minimises the risk to the game’s revenue but also enhances consumer trust.

 

At Belgium Campus iTversity, our main priority is to prepare our future graduates for careers in up-and-coming industries like these. It is for this reason that we ensure our course curricula are up to date with new technologies and modules. By studying a course with modules like artificial intelligence, our graduates remain ahead of the curve and aren’t left behind when new technologies emerge  

Study a Belgium Campus Course with Artificial Intelligence:

At Belgium Campus iTversity, our main priority is to prepare our future graduates for careers in up-and-coming industries like these. It is for this reason that we ensure our course curricula are up to date with new technologies and modules. By studying a course with modules like artificial intelligence, our graduates remain ahead of the curve and aren’t left behind when new technologies emerge

-Rebecca Jones