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10 June 2019 | Story Charlene Stanley | Photo Charl Devenish
4IR Prof Marwala
Prof Tshilidzi Marwala, Vice-Chancellor and Principal of the University of Johannesburg and speaker at the first UFS public event on 4IR awareness (middle), with Prof Corli Witthuhn, UFS Vice-Rector: Research (left), and Tafadza Kachara, member of the UFS 4IR committee.

A computer programmed to play poker and learning by itself how to bluff; an algorithm that predicts whether two countries will ever go to war; machines that detect epilepsy with almost flawless accuracy these are some of the groundbreaking abilities brought about by technologies associated with the Fourth Industrial Revolution (4IR).

Addressing the first UFS public event to enhance 4IR awareness, Professor Tshilidzi Marwala, Vice-Chancellor and Principal of the University of Johannesburg, briefed staff, interested parties and members of the media about recent 4IR developments and their implications.

Prof Marwala is currently a thought leader on the impact of the 4IR on higher education in South Africa as well as the Deputy Chairperson of the national commission appointed by the president to formulate 4IR strategies for South Africa.

Industrial revolution history

He recapped how, during the first industrial revolution, people started to understand how nature worked, ultimately leading to the development of the steam engine.
The second industrial revolution was marked by the development of electromagnetism which led to electrification and mass production, while the third produced computerisation and a rise in digital technology. 

The fourth industrial revolution is characterised by a fusion of technologies that blur the lines between cyber, physical and biological systems. This has led to rapid advances in fields such as artificial intelligence, quantum computing and 3D printing.


Artificial intelligence

Prof Marwala pointed out that, although fears were rife of machines taking over people’s jobs, the flipside of the coin was that dangerous jobs such as fire rescue operations could be carried out by machines without endangering lives.

Artificial intelligence can be employed to prevent bridge and building collapses by monitoring the condition of structures. It can also be used in credit scoring, where machines search for and analyse all the available data on a credit applicant, without having to rely only on the (sometimes fraudulent) information supplied by the credit seeker. 

He emphasised the great need to develop algorithms applicable to our continent, such as translating software that makes provision for the clicks in languages like isiXhosa, and facial recognition software that incorporates data collected in African countries. 


Is Africa ready? 

Responding to a question from an audience member, Prof Marwala indicated that Africa was certainly not ready for the 4IR when it came to the content of teaching curricula and infrastructure.

“As universities, we should not sit back and wait for change. We have the responsibility to lead our societies to have the same experiences as elsewhere in the world,” he concluded.

News Archive

UFS launches a Small and Medium Enterprise (SME) Observatory, first of its kind in South Africa
2013-12-04

In cooperation with its partners, the Centre for Development Support at the University of the Free State (UFS), launched the SME Observatory at a function on the Bloemfontein Campus. This initiative is the first of its kind in South Africa. 
 
According to Willem Ellis, Director of the Centre for Development Support, this is a public-private partnership between the UFS, the International Labour Organisation (ILO) and the Department of Economic Development, Tourism and Environmental Affairs (detea), which aims to gather information for research on small and medium enterprises. “With this research we will endeavour to empower policy formulators to make the right decisions in terms of development on a local, provincial and national level,” Ellis said. 
 
Presentations and the panel discussion at the launch covered topics such as: 
  • How many enterprises can survive in a town?
  • Are entrepreneurs being set up for failure? 
  • Is SMEs the answer to the unemployment question? 
  • The cost of red tape: is SMEs being tied down? 

To demonstrate the applicability of the enterprise architect for issues relating to enterprise policy, as well as entrepreneurship strategies, it was decided to focus the pilot phase of the observatory on towns in the Free State. Dr Daan Toerien, research associate at the Centre for Development Support, and Johannes Wessels, Project Manager of the SME Observatory, compiled the report: “50 Towns in the Free State: What the Enterprise Architecture of these towns is telling us about Entrepreneurial Space.” 
 
In his presentation at the launch, Dr Toerien said: “The Enterprise Observatory’s prime goal is to present valuable facts and insights about enterprises in the domains it is observing.” He has developed a database that contains information on a large number of South African towns. He said that studying the enterprise architecture of towns will contribute significantly to inform the policy and strategy debate on LED and enterprise development. “These activities will add valuable data and insights to approach entrepreneurship in the Free State and, after the pilot phase, also in other provinces in South Africa. The Free State government, district and local municipalities, and the consultant fraternity serving them, should find the SME observatory’s activities of value,” he said. 
 
Wessels said that the SME Observatory of South Africa is dedicated to base its arguments on sound theory, science and applied research; to engage policy and decision makers on an evidence-based approach; operate in a politically non-aligned mode in order to mirror truthfully the impact of policies and decisions and to partner with policy makers, entrepreneurs, public administration, think tanks, research institutions, business representatives and NGOs on building networks and alliances to promote an open and competitive enterprise environment.

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