Artificial Intelligence Careers: An Outlook The ability to work ‘like human’ and with no error, software and machines help in significantly
reducing the operational costs of an organization, thus increasing
profit. Any stakeholder who
is motivated by efficiency looks at ways to implement
Artificial Intelligence in their business operations. AI not only helps in forecasting sales or predicting the needs of the customer, but also in improving the communication (both internal and external). In other words, Artificial Intelligence can help businesses with the following: 1. Automating processes of the business 2. Gaining in depth insights from the data 3. Engaging Employees and Customers The hype of AI is apt AI has huge potential to transform all industries especially Medical Science, Air Transport, Banking & Finance, as well as Gaming & Entertainment. In Medical sciences, AI offers multiple
machine learning models and algorithms that are efficiently
predicting critical use-cases based on the health records and symptoms. The early prediction helps doctors make timely decisions and
prevent further health
deterioration in patients. In Air Transport, machines are helping in route planning along with creating charts for landing and take-off of the flights. Navigation maps, taxing
routes, and quick cockpit panel checks are all supported by artificial
intelligence. Thus, offering
ease and comfortability to humans. In Banking and
Finance, AI plays a major role in managing
transactions. However, the most
important use case of AI in banking is monitoring and reporting Laundering
(AML)
Entertainment
by
detecting
superficial
transactions.
In
Anti-money Gaming
and
industry, AI becomes your gaming partner, thus enhancing the
overall gaming experience. Above mentioned are some of the many use-cases of Artificial Intelligence. Whether you are an expert in Medicine, Finance, Entertainment, or others, your skills in AI will help you build a future that is powered by AI. However, the potential of AI is yet to be realized. AI has the ability to perform with minimal human intervention, but AI experts need to work more on developing systems that pass the Turing test.