South Big Data Hub
The nature of work today is undergoing an unprecedented transformation. As the pace of technological innovation continues to accelerate exponentially, the skills required of workers by industry are changing more rapidly than ever. These newly emerging skill requirements are having a parallel disruptive effect on higher education and training programs, which are struggling to adjust to the dynamic needs of both workers and industries.
At the same time, technological innovation also threatens to displace human workers with robots and artificial intelligence on a massive scale, with some studies predicting hundreds of millions of lost jobs world-wide. Such levels of unemployment can create cascading effects β such as exacerbated inequality, increased poverty, and stunted development β that contribute to social instability on a global scale.
Yet technology is also likely the key to mitigating these issues surrounding the future of work. Breakthroughs in big data and machine learning are creating new opportunities to rapidly match the needs of employers with the abilities of workers; human-machine interfaces promise to revolutionize how work and workers are defined; and intelligent machines may lead to drastic improvements in human quality of life. In this session, our panelists will explore some of these important questions related to the future of work, training, education, and technology.
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