Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
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

Census 2011 overshadowed by vuvuzela announcements
2012-11-20

Mike Schüssler, economist
Photo: Hannes Pieterse
15 November 2012

Census 2011 contains good statistics but these are overshadowed by vuvuzela announcements and a selective approach, economist Mike Schüssler said at a presentation at the UFS.

“Why highlight one inequality and not another success factor? Is Government that negative about itself?” Mr Schüssler, owner of Economist.co.za, asked.

“Why is all the good news such as home ownership, water, lights, cars, cellphones, etc. put on the back burner? For example, we have more rooms than people in our primary residence. Data shows that a third of Africans have a second home. Why are some statistics that are racially based not made available, e.g. orphans? So are “bad” statistics not always presented?”

He highlighted statistics that did not get the necessary attention in the media. One such statistic is that black South Africans earn 46% of all income compared to 39% of whites. The census also showed that black South Africans fully own nearly ten times the amount of houses that whites do. Another statistic is that black South Africans are the only population group to have a younger median age. “This is against worldwide trends and in all likelihood has to do with AIDS. It is killing black South Africans more than other race groups.”

Mr Schüssler also gave insight into education. He said education does count when earnings are taken into account. “I could easily say that the average degree earns nearly five times more than a matric and the average matric earns twice the pay of a grade 11.”

He also mentioned that people lie in surveys. On the expenditure side he said, “People apparently do not admit that they gamble or drink or smoke when asked. They also do not eat out but when looking at industry and sector sales, this is exposed and the CPI is, for example, reweighted. They forget their food expenditure and brag about their cars. They seemingly spend massively on houses but little on maintenance. They spend more than they earn.”

“On income, the lie is that people forget or do not know the difference between gross and net salaries. People forget garnishee orders, loan repayments and certainly do not have an idea what companies pay on their behalf to pensions and medical aid. People want to keep getting social grants so they are more motivated to forget income. People are scared of taxes too so they lower income when asked. They spend more than they earn in many categories.”

On household assets Mr Schüssler said South Africans are asset rich but income poor. Over 8,3 million black African families stay in brick or concrete houses out of a total of 11,2 million total. About 4,9 million black families own their own home fully while only 502 000 whites do (fully paid off or nearly ten times more black families own their own homes fully). Just over 880 000 black South Africans are paying off their homes while 518 000 white families are.

Other interesting statistics are that 13,2 million people work, 22,5 million have bank accounts, 19,6 million have credit records. Thirty percent of households have cars, 90% of households have cellphones and 80% of households have TVs.
 

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept