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Machines shape ‘golden ratio’

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In his third blog post, NIRAL PATEL, Oracle South Africa MD, discusses the relationships businesses need to aim for a ‘golden ratio’ of people, data and machines, where each is adding value and complementing the value of the other in harmony.

Tim Berners-Lee, the inventor of the World Wide Web, had this to say in 2007 about how data should flow in a modern business:

Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organisation, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organisations are missing this ability to connect all the data together.”

Berners-Lee’s point was that the value of data is not being fully realised if it is sitting in silos and people are making decisions based only on a partial view of all the data that could be available to them. If businesses lack the people and the technology to bring data together for a more comprehensive view of their business and their opportunities, then its’ worth is a fraction of its potential value. This is why businesses need to aim for a ‘golden ratio’ of people, data and machines, where each is adding value and complementing the value of the other in harmony.

Technology’s role in this balancing act certainly cannot be underestimated. The ability to collect, collate and connect that data at scale simply did not exist until the onset of cloud computing which is breaking down the silos Berners-Lee was alluding to.

The connectivity that cloud provides across businesses, supply chains, customers, platforms, applications and databases means organisations can gain a single view of their operation. The power and flexibility of cloud means they can process unprecedented volumes of data at speed through cloud applications, platforms and infrastructure. Cloud is also enabling machines to work more autonomously and to communicate with one another as we are seeing with the rise of technologies such as artificial intelligence (AI) and machine learning. Such technologies are bringing speed and scale to areas of the business that otherwise would be labour intensive and time-consuming processes.

For instance, retailers looking to improve customer experience and satisfaction are turning to the Internet of Things (IoT) and interconnected sensors spread through the supply chain to uncover new ways of increasing efficiency, reducing cost, improving product availability and providing more accurate product information.

In the back office, companies are experimenting with technology powered by AI and machine learning, such as self-service chatbots to improve the HR experience for employees. Rather than having to wait on HR to answer routine questions, workers can simply interact with a chatbot linked directly to the organisation’s HR systems that can answer many questions automatically. There is a clear business benefit here in addition to improved employee satisfaction – HR teams who spend less time on these admin tasks can focus on more projects that require their unique expertise.

But automation is certainly not about replacing employees with machines. Rather, it’s about speeding up tasks that take more time than businesses can afford to give to them as they seek to innovate at pace and achieve greater profitability through efficiency and by enabling people to focus on more valuable tasks. It is about improving the decision-making capabilities of people by arming them with a richness of highly relevant, topical and timely data that otherwise would not be possible to collect.

This is why it comes back to this idea of a ‘golden ratio’ of the right people, using the right data and machines in perfect balance. No business wants too many, or an unprofitable amount of either, but will always need all three in pursuit of data-driven success.

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UN calls for electronics overhaul to beat e-waste

Seven UN entities have come together at the World Economic Forum to tackle the escalating scourge of electronic waste.

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Seven UN entities have come together, supported by the World Economic Forum, and the World Business Council for Sustainable Development (WBCSD) to call for an overhaul of the current electronics system, with the aim of supporting international efforts to address e-waste challenges. 

The report calls for a systematic collaboration with major brands, small and medium-sized enterprises (SMEs), academia, trade unions, civil society and associations in a deliberative process to reorient the system and reduce the waste of resources each year with a value greater than the GDP of most countries. 

Each year, approximately 50 million tonnes of electronic and electrical waste (e-waste) are discarded — the weight of more than all commercial airliners ever made. In terms of material value, this is worth 62.5 billion dollars– more than the GDP of most countries.  

Less than 20% of this is recycled formally. Informally, millions of people worldwide (over 600,000 in China alone) work to dispose of e-waste, much of it done in working conditions harmful to both health and the environment. 

The report, “A New Circular Vision for Electronics – Time for a Global Reboot,” launched in Davos 24 January, says technologies such as cloud computing and the Internet of Things (IoT), support gradual “dematerialization” of the electronics industry.  

Meanwhile, to capture the global value of materials in the e-waste and create global circular value chains, the report also points to the use of new technology to create service business models, better product tracking and manufacturer or retailer take-back programs.  

The report notes that material efficiency, recycling infrastructure and scaling up the volume and quality of recycled materials to meet the needs of electronics supply chains will all be essential for future production.  

And if the electronics sector is supported with the right policy mix and managed in the right way, it could lead to the creation of millions of decent jobs worldwide. 

The joint report calls for collaboration with multinationals, SMEs, entrepreneurs, academia, trade unions, civil society and associations to create a circular economy for electronics where waste is designed out, the environmental impact is reduced and decent work is created for millions. 

The new report supports the work of the E-waste Coalition, which includes: 

  • International Labour Organization (ILO); 
  • International Telecommunication Union (ITU); 
  • United Nations Environment Programme (UN Environment); 
  • United Nations Industrial Development Organization (UNIDO); 
  • United Nations Institute for Training and Research (UNITAR); 
  • United Nations University (UNU), and 
  • Secretariats of the Basel and Stockholm Conventions (BRS). 

The Coalition is supported by the World Business Council for Sustainable Development (WBCSD) and the World Economic Forum and coordinated by the Secretariat of the Environment Management Group (EMG).  

Considerable work is being done on the ground. For example, in order to grasp the opportunity of the circular economy, today the Nigerian Government, the Global Environment Facility (GEF) and UN Environment announce a 2 million dollar investment to kick off the formal e-waste recycling industry in Nigeria. The new investment will leverage over 13 million dollars in additional financing from the private sector.   

According to the International Labour Organization, in Nigeria up 100,000 people work in the informal e-waste sector. This investment will help to create a system which formalizes these workers, giving them safe and decent employment while capturing the latent value in Nigeria’s 500,000 tonnes of e-waste. 

UNIDO collaborates with a large number of organizations on e-waste projects, including UNU, ILO, ITU, and WHO, as well as various other partners, such as Dell and the International Solid Waste Association (ISWA). In the Latin American and Caribbean region, a UNIDO e-waste project, co-funded by GEF, seeks to support sustainable economic and social growth in 13 countries. From upgrading e-waste recycling facilities, to helping to establish national e-waste management strategies, the initiative adopts a circular economy approach, whilst enhancing regional cooperation. 

Another Platform for Accelerating the Circular Economy (PACE) report launched today by the World Economic Forum, with support from Accenture Strategy, outlines a future in which Fourth Industrial Revolution technologies provide a tool to achieve a circular economy efficiently and effectively, and where all physical materials are accompanied by a digital dataset (like a passport or fingerprint for materials), creating an ‘internet of materials.’ PACE is a collaboration mechanism and project accelerator hosted by the World Economic Forum which brings together 50 leaders from business, government and international organizations to collaborate in moving towards the circular economy. 

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Matrics must prepare for AI

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students writing a test

By Vian Chinner, CEO and founder of Xineoh.

Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.

With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.

Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.

Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist. 

So, what should matriculants be considering when deciding what route to take?

For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.

In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.

This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.

In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.

As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.

This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.

The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.

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