| |June 20189CIOReviewMachine vision captures and analyz-es visual information using a virtual camera. It can be used across multi-ple applications - signature identifica-tion to medical image analysis, and many more. Computer vision, which is focused on machine-based image processing, is often combined with machine vision. Together these technologies can provide a plat-form which can mimic human decision making which are based on what we see and what we read. Legal ad-judication, claim assess-ment, content validation, content tagging, contact center automation etc could be the use cases of such technology. · Natural language pro-cessing (NLP) tasks include text translation, sentiment analysis and speech recognition. Assessing critical opportunity on so-cial network or addressing customer grievance in best possible efficiency is could also be a good use case here. Applications of Artificial IntelligenceAI in Healthcare: One of the big-gest bets of AI in healthcare are on improving patient outcomes and re-ducing costs. With machine learn-ing being used, companies are be-coming faster, nimble & better than humans to perform diagnosis in the medical field. IBM Watson currently considered as one of the best known healthcare technologies. Just like a ChatBot, it understands natural lan-guage and is capable of responding to questions thrown at it. The sys-tem intelligently extracts and evalu-ates hospital & patient diagnosis data and other available data sources to form a pattern & create a hypothesis, which it then presents with a scor-ing analysis or predictive analysis to pre-empt a health risk and suggest for its mitigation. ChatBot - another example of AI applications, a com-puter program used to answer ques-tions and assist customers online. It has multiple use-cases, ranging from scheduling follow-up appointments, aiding patients through the billing process, virtual health assistants to provide basic medical feedback, and much more.AI in Education: It's high time the education system needs to incorpo-rate AI, to automate grading, giving educators more time to concentrate on newer methods of teaching. Artificial intelligence can assess students and adapt to their needs, helping them work at their own pace. Tutors can provide additional support to students by using artificial intelligence, ensuring they stay on track. By incorporat-ing artificial intelligence, it can change how & where stu-dents learn, perhaps even replac-ing some teaching method.AI in Finance: Financial institu-tions are not able to make much headroom with artificial intelligence being applied to personal finance ap-plications. Applications can collect personal data and provide financial advice. Some of the leading home buying websites are using programs like IBM Watson, to enable & sim-plify the process of buying a home, the same method can also getting huge attention from other business models. Today, artificial intelligence software performs much of the trad-ing on stock exchanges.AI in Manufacturing: This is an area that has been at the forefront of incorporating robots into the workflow. Industrial robots used to perform single tasks and were sepa-rated from human workers, but as the technology advanced, their tasks have also changed. Manufacturing has also started to incorporate intel-ligence into robots to make them do, human kind of work. With machine learning being used, companies are becoming faster, nimble & better than humans to perform diagnosis in the medical fieldGoutam Datta
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