Can mines become more efficient – and safe – through tech? Robots, drones and virtual reality tools are now being used for sophisticated drilling operations.
The mining industry has been pivotal to the economy of South Africa for many years, but the current climate is tough.
Investor confidence in the sector is waning, with the country’s mines struggling in the face of a declining economy and regulatory uncertainty. The industry used to contribute almost a fifth of the country’s GDP, but this contribution has been declining by about 0.2% per year.
In the meantime, input costs are rising, with the end result being an almost 50% decline in investor profits, while dividends have fallen by more than half. As a result, employment has fallen. In the gold mining sector, for example, almost 50,000 jobs have been lost since 2009. In a bid to make the sector more efficient and increase margins, mining firms are turning to tech.
The old technologies – pneumatic drills and the like – being employed by individual miners are slowly being phased out. Robots, drones and virtual reality are the new order of the day.
At Kumba Iron Ore, one of the largest producers of iron ore globally, drilling is going high-tech. Whereas miners used to sit for up to eight hours at a time on a truck-sized machine, drilling holes in which to place explosives, now they can do it from the comfort of an office. Kumba is one of only two iron ore mining firms globally to have started using autonomous drills.
The decision to use this drill was a response to the volatility of the commodities market. Investing in tech, the company believed, would make its operations more efficient.
Between 2014 and 2017, Kumba has spent R748 million (about $52.5 million) on the implementation of new technologies.
Drones took flight over its Kolomela mine in South Africa’s Northern Cape province in December 2015, and Kumba now has a fleet of 10. Fitted with state-of-the-art cameras and laser scanners, they have taken over drilling operations, as well as providing up-to-date, real-time data on the mine’s operations. Surveyors are safer as they do not need to physically visit sites.
“The technology projects are aimed at creating safer work environments by removing people from harmful environments, improving productivity through the implementation of real time, efficient solutions that results in driving down costs and maximizing the utilization of current and future resources in order to remain competitive in the long-term through the development of low-grade beneficiation technology,” says Bongi Ntsoelengoe, Technology Manager at Kumba Iron Ore.
The results have been impressive, with Kumba’s productivity rising dramatically. Operating hours are up by 20%, according to Ntsoelengoe, while drill hole quality has improved and the company will need fewer drilling machines over the mine’s lifetime. Not only have efficiencies and production improved, driving down operating costs, the mines are also safer.
“Benchmarking studies have shown that South African mining industry has lagged behind in the adoption of technology until recently,” Ntsoelengoe said.
That is slowly changing. Another mining giant becoming increasingly tech-savvy is Rio Tinto, which has the largest fleet of driverless trucks in the industry.
These trucks are remotely controlled from a state-of-the-art operations center 1,500 kilometers away, and hauled one billion tonnes of ore in February alone.
Rio Tinto is also establishing the world’s first fully-autonomous heavy haul, long-distance rail network, and is the first mining company to achieve fully-automated hole pattern drilling without human intervention. Its iron ore business currently operates seven fully autonomous rigs for drilling production blast holes.
“Our Autonomous Drill System enables a single operator from a remote location to operate up to four autonomous drill rigs simultaneously. This technology is much safer for the operator and has improved both precision and equipment utilization,” says Stephen McIntosh, Rio Tinto’s Group Executive, Growth & Innovation.
Meanwhile, 3D visualization technology RTV delivers real-time 3D models of ore deposits located far beneath the surface that previously couldn’t be measured.
“This enables more accurate drilling and blasting, reduced explosive use and better waste classification,” says McIntosh.
Like Kumba, Rio Tinto is also improving its data collection through tech. Its Mine Automation System (MAS) allows it to combine myriad streams of data to deliver operational insights in real-time to step up productivity performance.
“It helps give us a better understanding of what grade is where before we mine and is a powerful resource to drive productivity improvements from mine to market,” says McIntosh.
Meanwhile, the environment is also benefitting.
Rio Tinto has launched the world’s first certified low CO2 aluminium, RenewAl, and cutting-edge AP smelting technology, which reduces electricity use and lowers emissions.
“As we look to develop more mines at greater depths, we’re using technology to keep people safe – such as sensors to monitor conditions, autonomous vehicles to haul ore, and complex ventilation systems to create a comfortable working environment,” says McIntosh.
He says Rio Tinto’s early adoption of automation was across the board, helping it drive productivity, lower costs and increase safety. This was the direction in which the industry is headed, he says, with more mines likely to jump on board and invest in tech in the future. This could help pull the whole industry out of the doldrums.
“As an industry, we have achieved incredible things through scaling and ever refining known technologies,” says McIntosh.
– By Tom Jackson
How Virtual Therapy Apps Are Trying To Disrupt The Mental Health Industry
Millions of Americans deal with mental illness each year, and more than half of them go untreated. As the mental health industry has grown in recent years, so has the number of tech startups offering virtual therapy, which range from online and app-based chatbots to video therapy sessions and messaging.
Still a nascent industry, with most startups in the early seed-stage funding round, these companies say they aim to increase access to qualified mental health care providers and reduce the social stigma that comes with seeking help.
While the efficacy of virtual therapy, compared with traditional in-person therapy, is still being hotly debated, its popularity is undeniable. Its most recognizable pioneers, BetterHelp and TalkSpace, have enrolled nearly 700,000 and more than 1 million users respectively. And investors are taking notice.
Funding for mental health tech startups has boomed in the past few years, jumping from roughly $100 million in 2014 to more than $500 million in 2018, according to Pitchbook. In May of this year, the subscription-based online therapy platform Talkspace raised an additional $50 million, bringing its total funding to just under $110 million since its 2012 inception.
The ubiquity of smartphones, coupled with the lessening of the stigma associated with mental health treatment have played a large role in the growing demand for virtual therapy. Of the various services offered on the Talkspace platform, “clients by far want asynchronous text messaging,” says Neil Leibowitz, the company’s chief medical officer.
Users seem to prefer back-and-forth messaging that isn’t restricted to a narrow window of time over face-to-face interactions. At BetterHelp, founder Alon Matas notes that older users are more likely to go for phone and video therapy sessions, whereas younger users favor text messaging.
“Each generation is getting progressively more mobile-native,” says John Prendergass, an associate director at Ben Franklin Technology Partners’ healthcare investment group, “so I think we’re going to see people become increasingly more accustomed, or predisposed, to a higher level of comfort in seeking care online.”
The ease and convenience of virtual therapy is another draw, particularly for busy people or those who live in rural areas with limited access to therapy and a range of care options.
Alison Darcy, founder and CEO of Woebot, a free automated chatbot that uses artificial intelligence to provide therapeutic services without the direct involvement of humans, says that with Woebot and other similar services, there is no need to schedule appointments weeks in advance and users can receive real-time coaching at the moment they need it, unlike traditional therapy. The sense of anonymity online can also lead to more openness and transparency and attracts people who normally wouldn’t seek therapy.
Along with stigma, the cost of therapy has historically acted as a barrier to accessing quality mental-health care. Health insurance is often unlikely to cover therapy sessions. In most cities, sessions run about $75 to $150 each, and can go as high as $200 or more in places like New York City. Web therapists don’t have to bear the expense of brick-and-mortar offices, filing paperwork or marketing their services, and these savings can be passed on to clients.
BetterHelp offers a $200-a-month membership that includes weekly live sessions with a therapist and unlimited messaging in between, while Talkspace’s cheapest monthly subscription at $260-a-month, offers unlimited text, video and audio messaging.
But virtual therapy, particularly text-based therapy, is not suitable for everyone. Nor is it likely to make traditional therapy obsolete. “Online therapy isn’t good for people who have severe mental and relational health issues, or any kind of psychosis, deep depression or violence,” says Christiana Awosan, a licensed marriage and family therapist.
At her New York and New Jersey offices, she works predominantly with black clients, a population that she says prefers face-to-face meetings. “This community is wary of mental health in general because of structural discrimination,” Awosan says. “They pay attention to nonverbal cues and so they need to first build trust in-person.”
Virtual therapy apps can still be beneficial for people with low-level anxiety, stress or insomnia, and they can also help users become aware of harmful behaviors and obtain a higher sense of well-being.
Sean Luo, a psychiatrist whose consultancy work focuses on machine learning techniques in mental health technology, says: “This why some of these companies are getting very high valuations. There are a lot of commercialization possibilities.” He adds that from a mental health treatment perspective, a virtual therapy app “isn’t going to solve your problems, because people who are truly ill will by definition require a lot more.”
Relying on digital therapy platforms might also provide a false sense of security for users who actually need more serious mental-health care, and many of these apps are ill-equipped to deal with emergencies like suicide, drug overdoses or the medical consequences of psychiatric illness. “The level of intervention simply isn’t strong enough,” says Luo, “and so these aspects still need to be evaluated by a trained professional.
– Ruth Umoh, Diversity and Inclusion Writer, Forbes Staff.
AI 50 Founders Say This Is What People Get Wrong About Artificial Intelligence
Forbes’ new list of promising artificial intelligence companies highlights how the technology is creating real value across industries like transportation, healthcare, HR, insurance and finance.
Naturally, the founders of the honoree companies are excited about the technology’s benefits and, in their roles, spend a lot of time thinking and talking about its strengths and limitations. Here’s what they think people get wrong about artificial intelligence.
Affectiva CEO Rana el Kaliouby says she’s too often encountered the idea that AI is “evil.”
“AI—like any technology in history—is neutral,” she says. “It’s what we do with it that counts, so it’s our responsibility, as an AI ecosystem, to drive it in the right direction.”
Companies need to be aware of how AI could widen bounds of inequality, she adds: “Any AI that is designed to interact with humans—Affectiva’s included—must be evaluated with regards to the ethical and privacy implications of these technologies.”
Sarjoun Skaff, CTO and cofounder of Bossa Nova Robotics, says that the biggest misconception he encounters is that artificial intelligence is actually, well, intelligent.
“The truth is much more mundane,” he says. “AI is a very good pattern-matching tool. To make it work well, though, scientists need to understand the details of how it internally works and not treat it as an ‘intelligent’ black box. At the end of the day, making good use of great pattern matching still belongs to humans.”
Similarly, Aira cofounder Suman Kanuganti says that the public has “over-inflated expectations” for artificial intelligence.
“Garry Kasparov sums it up nicely: ‘We are in the beginning of MS-DOS and people think we are Windows 10,’” Kanuganti says. “AI realistically is still like a 3-year-old child at this stage. When it works, it feels magical. It does some things well, but there’s still a long way to go.”
So, no, we are nowhere close to “artificial general intelligence,” or AGI, where machines are actually as smart as humans.
“We’re still a long way from AI having the general intelligence of even a flea,” says David Gausebeck.
Despite the tendency to overestimate what artificial intelligence can do, the difficulty of building an effective system is often underestimated, some founders say.
“The systems you need to implement and manage machine learning in production are often much more complex than the algorithms themselves,” says Algorithmia CEO Diego Oppenheimer. “You can’t throw models at a complex business problem and expect returned value. You need to build an ecosystem to manage those models and connect their intelligence to your applications.”
Put another way, you can’t just “sprinkle on some artificial intelligence like a magic sauce,” says Feedzai CEO Nuno Sebastiao.
One of the most common tropes that a handful of founders brought up was the idea that artificial intelligence is primarily a job killer.
People.ai founder Oleg Rogynskyy says that AI should be seen as a creator of new opportunities instead of a destroyer of jobs.
“In a nutshell, AI does two things: It automates repetitive low-value-add work for humans (which will indeed take low-complexity jobs away), which we think of as ‘Autopilot,’ and it guides people on how to do their work or other activities better (which makes humans more effective at what they do), which we call ‘Copilot,’” he says. “While Autopilot can take simple, repetitive and boring jobs away, Copilot is absolutely the best way to guide, train and educate humans on how to do new things.”
– By Jillian D’Onfro, Forbes
‘AI Is A Powerful Tool’
Research forecasts that by 2025, machines will perform more current work tasks than humans. Murat Sonmez, member of the managing board, and Head of the Centre for the WEF Fourth Industrial Revolution Network, expands on the role humans might play.
The Fourth Industrial Revolution (4IR) is at the center of the current economic frontier. In reality, is Africa prepared for such changes?
Moving quickly and being agile are key principles of success in the 4IR. Any country can succeed if they take on this mindset. A few years ago, Rwanda saw the opportunities drones, a 4IR technology, brought to their country.
They helped save over 800 lives by delivering blood to remote villages. To scale this, the government worked with the World Economic Forum’s (WEF) drones’ team to create the world’s first agile airspace regulation. Now, we see countries in Africa and around the world looking to the Rwandan model.
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What feasible solutions can artificial intelligence (AI) offer in terms of forecasting natural disasters, droughts food security on the African continent?
AI can help predict diseases, increase agriculture yields and help first responders. It is a powerful tool for governments and businesses, but it needs a lot of data to be effective.
For AI to be all that it can be, countries and companies need to work together to build frameworks for better management and protection of our data and ensure that it is shared and not stored in silos. Data is the oxygen of the (4IR). If countries do not leverage data and have their policies in place, they will be left behind.
There is a growing concern that the 4IR will strip people of jobs, of which there is already a shortage. How true is this?
The world is going through a workplace revolution that will bring a seismic shift in the way humans work alongside machines and algorithms.
Latest research from the WEF forecasts that by 2025, machines will perform more current work tasks than humans, compared to 71% being performed by humans today.
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The rapid evolution of machines and algorithms in the workplace could create 133 million new roles in place of 75 million that will be displaced between now and 2022.
Consumers have real concerns around the potential harm technology can cause in areas such as privacy, misinformation, surveillance, job loss, environmental damage and increased inequality. What ethical precautions are being considered in the robotics space?
Now more than ever, it is important to incorporate ethics into the design, deployment and use of emerging technology. Innovating in the 4IR requires addressing concerns around privacy and data ownership, while attracting the skills and forward-looking thinkers of the future.
There are big challenges and bigger opportunities ahead. We have seen many companies and countries create ethical and human rights-based frameworks. What’s important is they are co-designed with members of both communities along with academia, civil society and start-ups.
A multi-stakeholder approach will result in a more holistic set of guidelines and principles that can be adopted in many different industries and geographies.
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What changes need to take place for the African continent to be on par with global developments, and are there tangible goals set?
The 4IR provides governments the opportunity to be global leaders in shaping the next 20 to 30 years of science and technology. It is important they create an environment where companies can innovate.
The other tenet is to be open to working across borders and learning from each other. The global health industry has access to mountains of data on rare diseases, but it is trapped within countries and sometimes even within the hospital walls.
If we can build trust and find innovative ways to share the data while protecting privacy, we can employ tools like AI to help us cure disease faster. Countries and companies need to have the right governance frameworks and mechanisms in place for these breakthroughs to happen. It is possible to do these things now, but we need to work together to make it happen.
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