Recent news, social media headlines and technological community chatter around the rise of Artificial Intelligence (AI) and Machine Learning (ML) have reignited fears that machines will soon replace the jobs traditionally done by humans.
The technology is already in our lives and the change is real, with numerous examples, including AI robot prosthetics, AI in augmented reality for the medical industry, and even AI music bands.
Instead, the concept of work today has evolved to that of a skills-based one, to which we must adapt. To illustrate this, one example is how Workday’s Career Hub which is powered by ML gives employees suggestions on skills upgrades and encourages them to build a learning and development plan as they explore opportunities for continued career advancement.
In finance, teams traditionally spend an inordinate amount of time gathering information and reconciling transactions throughout the month and at quarter close. While machines can help automate and drive greater insight from large amounts of data or take over manual, repetitive processes, machines lack the problem-solving, high touch, analytical abilities, empathy, and creativity that humans possess.
Central to this is ensuring that humans remain the final decision-makers in any AI and ML technology. This approach assures that employees and leaders alike will continue to benefit from these new innovations to become even more productive, efficient, and informed.
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