Siemens creates opportunities for digitalization skills development across Africa

  • March 29, 2018

44% of all work activities in Ethiopia are susceptible to automation, as are 46% in Nigeria, 52% in Kenya and 41% in South Africa

JOHANNESBURG, South Africa, March 29, 2018/ —

The Internet of Things (IoT) is set to revolutionize the job market and African industry must adapt to survive

Siemens aims to help accelerate digitalization skills and empower those who will be leading the change

State-of-the-art automation equipment donated to engineering faculties in five African markets

The Fourth Industrial Revolution is having a disruptive effect on economies and the development of digital skills is vital. There is an opportunity, especially in Africa, to embrace new and exponential technologies combined with human talent to accelerate industrialization and drive economic growth.

According to The Future of Jobs and Skills in Africa Report (https://goo.gl/XChm5F), release by the World Economic Forum (WEF), it is predicted that 44% of all work activities in Ethiopia are susceptible to automation, as are 46% in Nigeria, 52% in Kenya and 41% in South Africa.

With this in mind, Siemens (www.Siemens.com) is handing over equipment specifically related to industrial automation that enables integrated engineering to 13 engineering faculties at universities in Ghana, Tanzania, Kenya and South Africa. This is part of the company’s commitment to sustainable skills development across the continent. The value of the equipment is close to $400 000.

Data collected by WEF in key African markets shows employers across the region identify inadequately skilled workforces as a major constraint to their businesses, including 41% of all firms in Tanzania, 30% in Kenya, 9% in South Africa and 6% in Nigeria. This pattern may get worse in the future. In South Africa alone, 39% of core skills required across occupations will be wholly different by 2020.

“The uneven development of the past can only be overcome with locally engineered solutions,” says Sabine Dall’Omo, CEO of Siemens Southern and Eastern Africa. “In an African context, disruptive technology can be seen as an opportunity to leapfrog into the best and most advanced technologies, but this is only possible with access to the right training and equipment.”

Siemens will continue its commitment to Africa and offer long-term support to beneficiaries by ensuring that students are able to train on the most advanced technology available. This will ensure graduates, and therefore the emerging workforce, have the skills necessary to effectively lead large-scale digitalization across the continent, resulting in long-term benefits to economic growth.

Siemens firmly believes the best way for African markets to benefit from the digital revolution is to combine skills training and improved/new infrastructure.

Says Dall’Omo, “Convergence of man and machine intelligence will enable a new era of speed, flexibility, efficiency and connectivity in the 21st century. The conversation about man vs machine is not an either-or scenario. Ongoing education and training has a positive effect for both business and society. A strong pipeline of talent with the relevant skills and knowledge is beneficial to governments and businesses, while young people advance into jobs and careers with increased economic opportunity if they have the right skills.”

Factory automation and electrical engineering equipment donations have been made to the following institutions:

Kwame Nkrumah University of Science and Technology, Ghana

Dar-Es-Salaam Institute of Technology, Tanzania

Dedan Kimathi University of Technology (DeKUT), Kenya

And nine Universities and Colleges across South Africa

“Our commitment to skills development and our relationships with these institutions goes beyond just this donation,” adds Dall’Omo. “We invest for the long-term and believe that by playing an active role in skills development, locally engineered solutions could catalyze the re-industrialization of the economy and trigger growth on an unprecedented scale.”

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