We’ve entered an age of Artificial Intelligence (AI) and while many people are still getting used to the idea of AI, education institutions have already started a rollout as part of the curriculum.
For years, we’ve adapted to the traditional way of learning, but today the contemporary classroom has become more digitized with the exploitation of artificial intelligence within schools and teaching students how it is used in the workplace to close the digital skills gap.
The future of learning with AI, and other technologies, should be aimed not only at learning subject content but also at cultivating curiosity, creativity, and resilience in students.
The ethical development of these kinds of innovations will require both teachers and students to have a robust understanding of how to work with data and AI to support their participation in society and across professions.
In the field of artificial intelligence, the possibilities are truly endless. Here are some industries that are transforming within AI.
The Healthcare sector
Healthcare is going to be one of those industries that are elevated and made better by machine learning and artificial intelligence.
Machine learning has the potential to improve remote patient monitoring, where AI algorithms are able to take information from electronic health records, prescriptions, insurance records and even wearable sensor devices to design a personalized treatment plan for patients.
The Financial sector
Artificial Intelligence is taking the financial services industry by storm. Almost every company in the financial technology sector has already started using AI to save time, reduce costs, and add value through the use of algorithms to generate insights, improve customer service, and make predictions about the company’s sales performance.
The Agricultural sector
Agriculture is both a major industry and foundation of the economy. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the industry’s technological evolution and machine learning models are being developed to track and predict various environmental impacts on crop yield, for example, weather changes.
The Transportation sector
Uses for artificial intelligence extend beyond autonomous aircrafts, cars, trucks, and trains. AI can be used to analyze commuter behavior, sentiment, suggestions, and commuting patterns, all of which can help predict accidents, alert emergency services, provide real-time feedback to drivers, and adjust shipping routes to simplify distribution networks. Travel is expected to become smoother, more efficient, and more convenient with the support of AI tools.
AI in Analytics
The need for big data to be interpreted on a daily basis has resulted in a greater demand for artificial intelligence systems. Prompt business decisions are propelling the growth of this dynamic technology because artificial intelligence has the capability to process, analyze, and disseminate data faster than humans can.