Although AI is 69 years old (since 1950), but it still feels as an acronym or jargon if someone talks about making use of a virtual assistant to make workplace communication effective, automating the hiring process, ruling out mundane screening, time-consuming paperwork and annoying data entry.
Simultaneously, medical professionals cannot easily accept the fact that machine learning can help prevent medical errors by offering both clinical decision support during critical medical events as well as documenting those events electronically in real-time.
With increasing ‘Uberization’ of things, people have felt an increasing need to improve their working areas like supply chain operations, customer data, and analytics to improve customer experience.
In the shipping and logistics industry, when consumers demand shorter wait times, whether it is between retailers and manufacturers or manufacturers and distribution centers etc.
Machine learning and artificial intelligence can be used to predict which raw material is better (after quality assurance), which data must be pulled from cooking process, based on random dynamic conditions, which materials must be injected to ensure continuity of the process to continue with golden batch manufacturing of the products, improving the yield and customer satisfaction.
Hotels can understand the preferences and behaviors of their potential customers, understand what suits them.