5 Useful AI Applications You May Not Have Thought Of
As technology advances, new applications will be limited only by your imagination. Consider five examples that show how AI will continue to transform both personal and business activities.
Personalized learning
According to Paul McDonagh-Smith, senior lecturer at the Massachusetts Institute of Technology/USA,artificial intelligence(AI) can complement and accelerate the acquisition of knowledge and skills by tailoring the educational experience to each student's specific needs, learning style, and intellectual abilities.
“AI can use advanced algorithms to customize educational content and feedback based on a student’s unique profile and performance, helping to improve learning outcomes. The application of AI has the potential to revolutionize education by making it more personal, engaging, and accessible to students of all abilities and backgrounds,” he explains.
Generate ideas
AI systems like GPT-3 can generate new concepts and recommendations by analyzing large volumes of text data. “This can help spark new ideas for products, services, and business models that a human might not have thought of,” said Scott Lard, CEO and partner at recruiting firm IS&T/USA.
By analyzing thousands of existing ideas, AI systems can consider more possibilities and options than the human mind. They can provide fresh perspectives and out-of-the-box thinking that helps organizations innovate.
Scott Lard believes the best way to start is to simply ask an AI model open-ended questions about potential new ideas and concepts in a particular industry or activity. He recommends providing the AI system with as much relevant context as possible to narrow down the results. Then, analyze the ideas generated to determine which ones have the potential to be explored further. This process can be repeated, refining the questions and context to produce better results over time.
Mental health support
AI can help address the growing need for mental health support, according to Siraj Ali Mohamed, director of data and analytics at Experion Technologies/Ireland. “AI is not just about support, it can collect and analyze data in real time, revealing important patterns to better understand mental health,” he explains.
When used properly, AI-driven virtual therapists can overcome geographical limitations, providing comprehensive mental health care support worldwide, says Siraj Ali Mohamed.
He recommends that developers start by assembling a team of mental health and AI experts to analyze potential opportunities. They should focus on identifying relevant use cases within their industry, then identify solutions that can help with early intervention, therapeutic support, or diagnosis. These goals should then be evaluated alongside existing data, technology, and infrastructure to develop a prioritized list of use cases that can be implemented.
Recruitment
Juan Nassiff, technical director and solutions architect at US software company BairesDev, says AI-powered recommendation systems can help hiring managers find the best candidates for a particular job.
BairesDev receives more than a million job applications each year, which are nearly impossible to sort through manually. “We use sophisticated machine learning algorithms to match the talent pool in our database with the unique requirements of the project that needs staffing,” says Juan Nassiff. “This approach goes beyond traditional AI in customer service or data analytics and is aimed at optimizing team selection for software development projects.”
This approach is extremely effective, as it ensures a fair and skills-focused recruitment process, eliminating the bias that can occur in traditional recruitment practices. This not only improves project outcomes, but also significantly reduces the time and resources typically spent on recruitment and team building.
Pest Control
By analyzing multiple factors such as weather and geography, AI can help exterminators develop and optimize pest control methods. “This approach is particularly useful in enabling proactive pest control, reducing the reliance on potentially harmful chemical tools,” said Rubens Tavares Basso, CTO of pest control software company Field Routes.
“Businesses should be aware of the potential bias of AI algorithms and regularly update their systems to adapt to changing environmental conditions,” notes Rubens Tavares Basso. “AI provides a green, forward-thinking solution to pest problems, promoting sustainable and efficient practices in agriculture and other industries.”
