In a latest development of technology the Artificial intelligence (AI) could generate X-ray reports. This evolving tool is being actually programmed with radiologist’s knowhow, by actively scanning millions of patient records. It might not yet be able to read the blur on the film as tuberculosis, in five years; AI could professionally make that interpretation as well. The question lies in Will Artificial Intelligence take over jobs?
On a recent study says that almost 70% of motor insurance policies are sold by bots. Many bank products such as ‘loan in 10 seconds’ are processed by machines. Even in the travel platform bots handle most queries without people realising. The machines are qualitative at checking chances of a waitlisted ticked being confirmed, lowest fares, quality time to book tickets and so on. Altogether there’s no human involved at any stage.
Most of the multinational firms are actively using AI in daily business thus improving productivity and scale. Many sees AI platforms do voluminous repetitive tasks and ameliorate 24×7 functioning by good services in any times zone. Eventually AI is golden opportunity for companies which could use to their advantage.
AI has strong ability of machines to mimic the human mind, which is slowly but invading corporate workplaces. Primarily the machines are enabling intelligent conversations. It is also noted that many banks, insurance companies, wealth management firms, ecommerce and retail firms are exclusively using machines for predictive analysis, sales and so on. More interestingly Healthcare AI could effectively diagnose, help with medication reminders and even develop good treatment pathways for diabetes or cancer. It is also expected that machines could ease pain for doctors to sift through past records and strongly focus more on critical healthcare requirements.
Though AI tool is as perfect as a human, hospitals fear to take chances and have both humans and machines working together. This could actually change leap for AI from labs to reality. Moreover the machines have comprehension issues with typographical errors, colloquial interactions and languages other than English.
Finally the technology versus employment is an age-old debate. But it’s certainly becoming more real as firms wholly lean towards automation to widely improve productivity and margins.
