AI is taking over almost all industries across the globe. Today, investments in AI and Big Data Analysis are pouring in as these technologies have the potential to bring massive digital transformation. Along with others, the healthcare and education industries, in particular, are witnessing a massive change as AI-backed data has enabled them to optimize and automate their processes. Let’s look at how AI has worked wonders in these industries:
Since the pandemic outbreak, online education has gained a lot of momentum. The dissemination of content via online platforms has grown immensely. There are plenty of courses available today, with more digital content being made available to students to further their learning experience. All in all, teaching and learning in schools and colleges have also moved online.
When there are so many options available for the student to choose from, helping them choose the right course/university/stream becomes more relevant in this industry. Also, helping students to derive an academic roadmap for their career aspirations becomes vital. This is where AI-based platforms come into the picture to help these students choose the right set of courses, universities, and test modules, based on customized recommendations. This helps students to decide the most suitable career path to choose, which subjects they can choose to study, and where they should study a particular course or degree.
It empowers them to pursue their educational dream in a manner that is customized to them in every way. AI-powered search technology
is revolutionizing the education industry by helping these students via predictive, intelligent site searches. Thus, integrating AI into the education sector is not only the smart option, but it is key to the success of students and institutions alike.
Like in the education sector, AI in healthcare is also playing a game-changing role. AI in this sector means performing automated tasks via the use of complex algorithms that are specifically designed for the purpose. This can be leveraged by doctors, researchers, and scientists to review, suggest, and interpret solutions to medical problems in today’s world. For instance, in the wake of the pandemic, the patient lab-test data across the globe was digitized and collaborated. AI is also playing a major role in learning patterns, predicting impact, and treatment in specific locations. Such indicators help the governments to take corrective actions before the situation turns worse. Plus, AI is enabling research labs to analyze the data and come up with findings in areas of disease symptoms, thereby offering probable solutions.
The more common application of AI and ML in healthcare is precision medicine. This means that it helps predict what treatment is most likely to succeed on a particular patient, based on various attributes of said patient. The more complex way that AI and ML are being used is to predict outcomes.
For instance, it could be used to recognize lesions via x-ray images. This applies to cases where certain data cannot be perceived by the human eye. Further, AI and Deep Learning are also being used for voice and speech recognition in Natural Language Processing (NLP). Here, the application of NLP includes understanding, creation, and classification of research and documentation. Besides, it can also be used to prepare reports, analyze clinical notes, transcribe patient interactions, and offer human-like conversational
Therefore, AI is being extensively deployed in various segments. These revolutionary solutions are just the result of scratching the surface. One cannot begin to imagine the depth of the wonder that AI is likely to create in the upcoming years. It has already started changing the face of the education and healthcare industries for the better. Thus, it wouldn’t be a leap to say that the AI revolution is taking place at a rapid pace.