Traditional robots have long been prized for their cost-efficiency and programmability. However, the integration of AI with production data now takes automation to the next level, advancing predictive maintenance, reducing material waste, and enhancing demand forecasting.
Sharing their thoughts with the Delhi Education Minister on this occasion, students said that what is being taught in this school is preparing them for the future.
How technological change impacts inequality, wage divergence, and job polarisation, and what democratic states operating in a free-market environment must grapple with as digitalisation catalyses labour substitution, the erosion of the middle class, and greater income inequality, is the challenge for policy establishments the world over not wedded to dogma.
It was also found that older drivers tended to exhibit worse takeover quality in terms of operating the steering wheel, the accelerator and the brake, increasing the risk of an accident.
As per the McKinsey Global Institute report 2017, there is 43% of automation potential for insurance and finance industries. It is also estimated that by the year 2025, up to 25% of the task force in the insurance industry may be merged or replaced, especially in operations and administrative support. Currently, the insurance industry is looking at use cases for intelligent automation that will uplift the efficiency of the current processes and reduce the operational costs at the same time.
Higher educational institutions must emphasise inquiry-based mindset, the ability to be critical, analytical and creative which is underpinned by team-working ability, leadership and digital skills.
The world of work is being changed by the rise of the robots but there are steps you can take now to future-proof your earning potential automated future.
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