Artificial intelligence will transform how the world lives and works. Recent announcements by Google have shown just how powerful Artificial Intelligence (AI) can become. The change is inevitable – but what steps do countries need to take today to ready themselves for an AI-driven future? And is South Africa prepared?
A recent industry-focused AI summit held at the White House put a spotlight on the debate. The event was attended by more than 100 senior government officials, technical experts, business leaders and heads of industrial research labs. At the core of the summit: the US government’s focus on leveraging AI for the benefit of US workers and removing barriers to innovation. With it came an awareness of what achieving that goal will require – including the skills people will need to make the most of the new world of work.
“AI and related technologies are creating new types of jobs and demand for new technical skills across industries,” noted a release issued by the White House’s Office of Science and Technology Policy. “At the same time, many existing occupations will significantly change or become obsolete. Attendees discussed … a renewed focus on STEM education throughout childhood and beyond, to technical apprenticeships, reskilling, and lifelong learning programs to better match America’s skills with the needs of industry.”
The question remains: how are we faring at home here in South Africa?
If South Africa embraces AI, we can create jobs, grow the economy and improve productivity. All very relevant given our current economic climate, which emphasises the importance of government’s role in enabling AI as a catalyst for growth. AI can open up opportunities to create new value, reinforcing how people drive growth in business. It can also help people be more productive – by some estimates, leading to a 40% increase in labour productivity by 2035.
Yet change isn’t far off. According to 2017 research conducted by Accenture, in five years’ time, more than half of consumers and enterprise clients will select products and services based on a company’s AI, instead of the company’s more traditional “brand”. In seven years’ time, most interfaces will not have a screen and will be integrated into daily tasks.
According to Karthik Venkataraman, Head of Artificial Intelligence and Intelligent Automation at Accenture Technology, “South African companies need to shape their own journeys towards becoming responsible users and creators of AI. This will require an understanding of our unique business and economic environments, as well as finding relevant partner for this endeavour.”
In South Africa, Accenture research found that some 78% of local executives say they need to boost their organisation’s competitiveness by innovating through investments in AI technologies. However, only about a third of these organisations are planning significant AI investments over the next three years.
Obstacles remain to AI uptake in South Africa. On one hand, companies are often weighed down by legacy infrastructure, technologies, systems, business models and outdated corporate structuring. At the same time, our workforce is not yet ready for the AI revolution already underway in other parts of the world. Indeed, like workers in many countries elsewhere, South Africans are concerned that AI may affect their jobs and even worsen income inequality. Further issues relate to the quality of education in South Africa (from primary to university levels), the capabilities of our scientific research institutions, as well the quality of our national innovation ecosystems and our lack of a national collaborative mindset.
A July 2017 AI roundtable hosted by Accenture and GIBS Business School revealed both concerns and possible solutions. Rather than replacing humans, it was argued, AI should be harnessed to increase workers’ productivity, with organisations focusing on reskilling their workforces and ensuring inclusive economic growth remains the ultimate goal.
Given that AI has the potential to see certain jobs automated – potentially worsening inequality and eroding incomes for some parts of the population for a period – the imperative for responsible AI, and for policymakers to proactively address and pre-empt its downsides is real. Among the critical issues: identifying the groups most at risk of job displacement and creating strategies that focus on reskilling and retraining people so they can be successfully reintegrated into an AI-driven economy. Sound rules, regulations, governance guardrails and economic policies will also play critical enabling and protective roles.
At the core, the most significant challenges to the adoption of AI are no different in South Africa than anywhere else. They are about preparing people for the intellectual, technological, political, ethical and social questions that will arise as AI becomes more deeply integrated into our lives.
To prepare South Africa – and South African companies – for what’s to come, policymakers must clear the path and help prepare the next generation accordingly. More than this, a strong code of ethics will be needed to make sure growth is inclusive; infrastructure barriers must be removed and a collaborative ecosystem put in place to support AI development. South Africa must start building the competencies it needs to participate in an AI-driven future today.
Huawei Mate 20 unveils ‘higher intelligence’
The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.
Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.
The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.
The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.
The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.
“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”
The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.
Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.
Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page.
How Quantum computing will change … everything?
Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.
“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”
The Forrester report gives some practical applications for quantum computing which helps contextualise its potential:
- Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts.
- Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand
- Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
- Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials.
Continue reading to find out how Quantum computing differs.