A study by Faethm AI has forecasted that 1.4 million full-time equivalent roles in the UK – 4.8% of work – could be automated in the next 12 months
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In 2003, the cyber fiction writer William Gibson coined the intriguing phrase; “The future is already here, it’s just not very evenly distributed”.
Mindfields, the global intelligent automation and artificial intelligence (AI) advisory firm and Faethm, a fast-growing and globally unique AI analytics and SaaS platform, today announced their partnership to transform the future of the workforce.
To understand the importance of technology in driving change in society, we need only look at the names of chapters in human history – from the rudimentary tools that defined the Stone Age, to the supercomputers of the Information Age.
There’s little doubt these factors will be viewed as historical markers that provide context to the emergence of a set of new societal norms, particularly in terms of the way in which people work and develop their careers.
Faethm AI, a provider of human capital management solutions powered by Artificial Intelligence (AI), announced a series of strategic business developments to bolster its expansion into new markets worldwide.
Faethm AI launches strategy to retain, retrain and redeploy an unprecedented amount of the world’s workforce in 2021
Faethm AI, a unique provider of human capital management solutions powered by artificial intelligence, today announces a series of strategic business developments to bolster its expansion into new markets worldwide.
Technology and societal change are two major hallmarks of industrial revolutions. You cannot discuss the first industrial revolution in the late 18th and early 19th centuries, for example, without referencing steam power and the migration of the workforce from the country to the city. The same goes for the third industrial revolution, which can’t be mentioned without reference to the internet and rapid globalisation.
Workforce analysis from Zurich, conducted alongside AI analytics platform Faethm, has identified 270 robotics, data science and cyber security roles that could go unfilled by 2024 if employees aren’t prepared for the future of work.