Unexpected Use Cases for AI
Artificial Intelligence (AI) has become an integral part of our daily lives. From AI-powered voice assistants to the technology underpinning self-driving cars, AI is transforming the way we live and work. However, AI's potential is not limited to what we typically associate with it. There are several unexpected use cases for AI that have emerged in recent times, and in this blog post, we’ll explore a few.
One of the more shocking areas of recent advancement for AI is in generating music. With the help of machine learning algorithms, AI can analyze music and create new compositions that retain key characteristics that composers are looking for. Now musical artists and producers can use AI to create unique sounds that would have taken significantly more effort to create through conventional means. Some AI-powered music generating tools are even being used in live performances, allowing artists to create music on the fly. However, because AI-generated music has gotten so good in such a short amount of time, we’ve already seen some controversies in the form of artists being mimicked without their consent. Streaming sites and music labels are paying extra close attention to new developments here and it will be interesting seeing how it all plays out. At least one artist (Grimes) recently made headlines by leaning in to the controversy and offering to split any royalties from AI-generated music using her likeness.
AI is already being used in healthcare to improve patient outcomes and reduce healthcare costs. These applications range from diagnosis and treatment of conditions to engagement with patients. One of the more advanced use cases of AI in healthcare includes the use of machine learning algorithms to analyze patient health data and predict potential health issues. This can help healthcare providers identify patients at high risk for certain diseases and intervene before the condition worsens. AI is also being used to develop new drugs and treatments by analyzing large amounts of medical data and identifying patterns. Additionally, robots that are used in surgeries to assist doctors and reduce the risk of human error are increasingly benefiting from the implementation of AI.
AI can be used in agriculture to improve crop yields and reduce waste. By checking out data obtained from sensors and drones, AI can provide farmers with insights into soil quality, crop health, and weather patterns. This information can help farmers optimize their farming practices, reduce the use of pesticides and fertilizers, and increase crop yields. AI-powered robots are also being used to automate tasks such as planting, harvesting, and weeding.
AI has shown some initial promise for its use in education in personalizing learning. By analyzing student performance data, AI can identify areas where students need additional support and provide personalized learning experiences. Life-like chatbots are also being used to provide students with instant feedback and support, reducing the burden on teachers and improving student engagement. Additionally, AI is being used in the lab for the development of new educational technologies and tools, such as virtual reality and augmented reality, that may one day enhance the learning experience for students globally.
The fashion industry is also beginning to see AI utilized in creative ways to advance the field. It’s been used in the creation of new designs and improvement of the shopping experience for consumers. On the marketing side, ML algorithms can analyze data on trends, customer preferences, and even general social media activity to predict future fashion trends accurately. AI-powered chatbots are also being used to assist customers in finding the right clothing and accessories, providing personalized recommendations based on their style and preferences. For example Shop with AI let’s you shop with an AI-version of a celebrity to help inform a shopper’s choices and have more fun while they hone in on that next purchase.
Fashion and music are not the only entertainment sectors that are starting to feel the influence of AI. The sports industry has also begun to see benefits in the form of improvements to athletic performance and enhancements to the fan experience. By analyzing athletes' data, such as their movements, heart rate, and fatigue levels, ML algorithms can provide personalized training programs that can help them to identify targets for improvement and help athletes to train smarter on the way to their next trophy. In addition, AI-powered cameras and sensors are being used to capture and analyze data during games, providing real-time insights that can help coaches and players make better decisions. Some of these insights are even being passed over to fans who can use the insights to make better fantasy league plays among other things.
As we’ve seen, AI is being used in numerous unprecedented ways, transforming old industries and creating plenty of new opportunities along the way. From healthcare and fashion to everything in between, some of these use cases have surprised us in both their application and efficacy. As AI continues to advance with the rise of new models, we can all probably expect to see even more unexpected utilizations emerge. So let’s pay close attention to how it all plays out, and who knows, maybe we can even take part in shaping some of what’s to come!