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Robots will force a rethink on jobs

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In PwC’s latest report on the impact of automation, up to 38% of jobs in the US are at risk, with Germany (35%) and the UK (30%) not far behind, forcing us to rethink how secure our jobs really are, writes DANIEL SCHWARTZKOPFF, Co-Founder: DataProphet.

The Fourth Industrial Revolution will dramatically reshape the world of work and force us to rethink our approach to our careers, our lives, and our aspirations. With a global market estimated to reach $70 billion by 2020, machine learning is driving fundamental change in the way every industry operates. Learning algorithms are already pioneering advances in customer service, manufacturing, healthcare, auditing, legal counsel, and insurance underwriting, with more industries to follow.

Old notions of job security have all but disappeared: the thought of working for the same company for 40 years until retirement is laughable. In 1965, corporations remained in the S&P 500 Index for an average of 33 years; by 2012 this had already shrunk to 18 years. With the rapid pace of development bankrupting and displacing large behemoths like Kodak and Blockbuster, no one should be under the illusion that a company is too big to fail.

Rise of the machines

In PwC’s latest report on the impact of automation, up to 38% of jobs in the US are at risk, with Germany (35%) and the UK (30%) not far behind. And it’s not manual labour that is most in peril: accountants, lawyers, call centre agents, machine operators, and insurance underwriters are at or near the top of lists of jobs most likely to become redundant thanks to machines.

In response, it is likely that the governments will start implementing policies to protect an already fragile job market. However, the commercial benefits of automation are vast and far-reaching. In an example recently cited by the World Economic Forum, a Chinese factory in Dongguan City replaced 90% of its workforce with machines, leading to an incredible 250% boost in productivity, with defects reduced by 80%.

Governments need to take a more forward-looking approach and find innovative ways of incentivising and equipping people to educate themselves. Learning the types of skills unlikely to be replaced by machines in the coming years is critical – especially here in Africa.

SA / Africa most vulnerable

South Africa’s latest unemployment figures paint a bleak picture: the official rate is 27.7%, or 6.2 million people who want to work but can’t find employment. A closer look, however, will reveal that the vast majority of the unemployed are without a tertiary education. Among graduates the unemployment rate is a mere 7.3%.

To help stimulate job creation, government and industry have worked hard at establishing a business process outsourcing (BPO) industry as a key job creator and economic driver. One industry body claims the sector already employs more than 30 000 people, and aims to grow this to 80 000 by 2021. Considering most of the outsourced jobs are in call centres and customer service, it is alarming that so much effort is being put into industries that are most at risk of automation.

Across the continent, explosive population growth is expected to bring a further 122 million people into the workforce by 2020. Due to shortcomings in the continent’s education sector, these workers are likely to be overwhelmingly unskilled or semi-skilled. Absorbing 122 million people into formal economic activity will be paramount to the continent’s on-going development and prosperity.

We need an urgent change in how we approach skills development and work.

Rethinking our approach to work

Those wishing to future-proof their careers should stop relying on traditional notions of work. Many of the skills required for the future – such as data science and machine learning – are not yet formally offered at university level, and even where they are the industry changes so quickly that by the time a student exits a four-year degree, much of their knowledge is already outdated. In response, we should all aspire to a lifelong approach to learning.

Developing skills in the STEM (Science, Technology, Engineering and Maths) fields, as well as arts and humanities – where machines will struggle with replicating design, creation, empathy, and problem-solving thought – represents workers’ best defence against automation. Taking up online courses in specific fields that teach you marketable skills, for example, is one cost-effective way of empowering this new wave of jobseekers.

Encouragingly, many modern tech companies no longer look solely at academic transcripts and qualifications as the main benchmark of your employability. Instead, practical tests are given that gauge a candidate’s actual ability to complete work-related tasks and think creatively and laterally.

New skills for new jobs

This shift in skills development and training may pose severe challenges to those job seekers who are unable to pursue self-learning opportunities. Government, schools, and universities should therefore modernise their approach to training and education to ensure our immense talent pool is not left under- or unutilised.

It is certain that some jobs will be disrupted – even eliminated – by automation. Workers will need to develop a new mix of skills to meet the demands of entirely new job functions created in the course of our technological progress. Opposing progress to preserve automatable jobs is futile – it would not be wise to be remembered as the Luddites of the 21st century.

In a positive sign, 94% of executives surveyed in a recent study agreed that when administrative tasks are automated, the demand for jobs that require soft skills – such as creative problem-solving, collaboration, and communication – will grow.

It’s high time we overhaul our education and skills development sector. The alternative – millions of unemployed and unemployable people – is too frightening to contemplate.

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Prepare your cam to capture the Blood Moon

On 27 July 2018, South Africans can witness a total lunar eclipse, as the earth’s shadow completely covers the moon.

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Also known as a blood or red moon, a total lunar eclipse is the most dramatic of all lunar eclipses and presents an exciting photographic opportunity for any aspiring photographer or would-be astronomers.

“A lunar eclipse is a rare cosmic sight. For centuries these events have inspired wonder, interest and sometimes fear amongst observers. Of course, if you are lucky to be around when one occurs, you would want to capture it all on camera,” says Dana Eitzen, Corporate and Marketing Communications Executive at Canon South Africa.

Canon ambassador and acclaimed landscape photographer David Noton has provided his top tips to keep in mind when photographing this occasion.   In South Africa, the eclipse will be visible from about 19h14 on Friday, 27 July until 01h28 on the Saturday morning. The lunar eclipse will see the light from the sun blocked by the earth as it passes in front of the moon. The moon will turn red because of an effect known as Rayleigh Scattering, where bands of green and violet light become filtered through the atmosphere.

A partial eclipse will begin at 20h24 when the moon will start to turn red. The total eclipse begins at about 21h30 when the moon is completely red. The eclipse reaches its maximum at 22h21 when the moon is closest to the centre of the shadow.

David Noton advises:

  1. Download the right apps to be in-the-know

The sun’s position in the sky at any given time of day varies massively with latitude and season. That is not the case with the moon as its passage through the heavens is governed by its complex elliptical orbit of the earth. That orbit results in monthly, rather than seasonal variations, as the moon moves through its lunar cycle. The result is big differences in the timing of its appearance and its trajectory through the sky. Luckily, we no longer need to rely on weight tables to consult the behaviour of the moon, we can simply download an app on to our phone. The Photographer’s Ephemeris is useful for giving moonrise and moonset times, bearings and phases; while the Photopills app gives comprehensive information on the position of the moon in our sky.  Armed with these two apps, I’m planning to shoot the Blood Moon rising in Dorset, England. I’m aiming to capture the moon within the first fifteen minutes of moonrise so I can catch it low in the sky and juxtapose it against an object on the horizon line for scale – this could be as simple as a tree on a hill.

 

  1. Invest in a lens with optimal zoom  

On the 27th July, one of the key challenges we’ll face is shooting the moon large in the frame so we can see every crater on the asteroid pockmarked surface. It’s a task normally reserved for astronomers with super powerful telescopes, but if you’ve got a long telephoto lens on a full frame DSLR with around 600 mm of focal length, it can be done, depending on the composition. I will be using the Canon EOS 5D Mark IV with an EF 200-400mm f/4L IS USM Ext. 1.4 x lens.

  1. Use a tripod to capture the intimate details

As you frame up your shot, one thing will become immediately apparent; lunar tracking is incredibly challenging as the moon moves through the sky surprisingly quickly. As you’ll be using a long lens for this shoot, it’s important to invest in a sturdy tripod to help capture the best possible image. Although it will be tempting to take the shot by hand, it’s important to remember that your subject is over 384,000km away from you and even with a high shutter speed, the slightest of movements will become exaggerated.

  1. Integrate the moon into your landscape

Whilst images of the moon large in the frame can be beautifully detailed, they are essentially astronomical in their appeal. Personally, I’m far more drawn to using the lunar allure as an element in my landscapes, or using the moonlight as a light source. The latter is difficult, as the amount of light the moon reflects is tiny, whilst the lunar surface is so bright by comparison. Up to now, night photography meant long, long exposures but with cameras such as the Canon EOS-1D X Mark II and the Canon EOS 5D Mark IV now capable of astonishing low light performance, a whole new nocturnal world of opportunities has been opened to photographers.

  1. Master the shutter speed for your subject 

The most evocative and genuine use of the moon in landscape portraits results from situations when the light on the moon balances with the twilight in the surrounding sky. Such images have a subtle appeal, mood and believability.  By definition, any scene incorporating a medium or wide-angle view is going to render the moon as a tiny pin prick of light, but its presence will still be felt. Our eyes naturally gravitate to it, however insignificant it may seem. Of course, the issue of shutter speed is always there; too slow an exposure and all we’ll see is an unsightly lunar streak, even with a wide-angle lens.

 

On a clear night, mastering the shutter speed of your camera is integral to capturing the moon – exposing at 1/250 sec @ f8 ISO 100 (depending on focal length) is what you’ll need to stop the motion from blurring and if you are to get the technique right, with the high quality of cameras such as the Canon EOS 5DS R, you might even be able to see the twelve cameras that were left up there by NASA in the 60’s!

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How Africa can embrace AI

Currently, no African country is among the top 10 countries expected to benefit most from AI and automation. But, the continent has the potential to catch up with the rest of world if we act fast, says ZOAIB HOOSEN, Microsoft Managing Director.

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To play catch up, we must take advantage of our best and most powerful resource – our human capital. According to a report by the World Economic Forum (WEF), more than 60 percent of the population in sub-Saharan Africa is under the age of 25.

These are the people who are poised to create a future where humans and AI can work together for the good of society. In fact, the most recent WEF Global Shapers survey found that almost 80 percent of youth believe technology like AI is creating jobs rather than destroying them.

Staying ahead of the trends to stay employed

AI developments are expected to impact existing jobs, as AI can replicate certain activities at greater speed and scale. In some areas, AI could learn faster than humans, if not yet as deeply.

According to Gartner, while AI will improve the productivity of many jobs and create millions more new positions, it could impact many others. The simpler and less creative the job, the earlier, a bot for example, could replace it.

It’s important to stay ahead of the trends and find opportunities to expand our knowledge and skills while learning how to work more closely and symbiotically with technology.

Another global study by Accenture, found that the adoption of AI will create several new job categories requiring important and yet surprising skills. These include trainers, who are tasked with teaching AI systems how to perform; explainers, who bridge the gap between technologist and business leader; and sustainers, who ensure that AI systems are operating as designed.

It’s clear that successfully integrating human intelligence with AI, so they co-exist in a two-way learning relationship, will become more critical than ever.

Combining STEM with the arts

Young people have a leg up on those already in the working world because they can easily develop the necessary skills for these new roles. It’s therefore essential that our education system constantly evolves to equip youth with the right skills and way of thinking to be successful in jobs that may not even exist yet.

As the division of tasks between man and machine changes, we must re-evaluate the type of knowledge and skills imparted to future generations.

For example, technical skills will be required to design and implement AI systems, but interpersonal skills, creativity and emotional intelligence will also become crucial in giving humans an advantage over machines.

“At one level, AI will require that even more people specialise in digital skills and data science. But skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become even more important. Languages, art, history, economics, ethics, philosophy, psychology and human development courses can teach critical, philosophical and ethics-based skills that will be instrumental in the development and management of AI solutions.” This is according to Microsoft president, Brad Smith, and EVP of AI and research, Harry Shum, who recently authored the book “The Future Computed”, which primarily deals with AI and its role in society.

Interestingly, institutions like Stanford University are already implementing this forward-thinking approach. The university offers a programme called CS+X, which integrates its computer science degree with humanities degrees, resulting in a Bachelor of Arts and Science qualification.

Revisiting laws and regulation

For this type of evolution to happen, the onus is on policy makers to revisit current laws and even bring in new regulations. Policy makers need to identify the groups most at risk of losing their jobs and create strategies to reintegrate them into the economy.

Simultaneously, though AI could be hugely beneficial in areas such as curbing poor access to healthcare and improving diagnoses for example, physicians may avoid using this technology for fear of malpractice. To avoid this, we need regulation that closes the gap between the pace of technological change and that of regulatory response. It will also become essential to develop a code of ethics for this new ecosystem.

Preparing for the future

With the recent convergence of a transformative set of technologies, economies are entering a period in which AI has the potential overcome physical limitations and open up new sources of value and growth.

To avoid missing out on this opportunity, policy makers and business leaders must prepare for, and work toward, a future with AI. We must do so not with the idea that AI is simply another productivity enhancer. Rather, we must see AI as the tool that can transform our thinking about how growth is created.

It comes down to a choice of our people and economies being part of the technological disruption, or being left behind.

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