Connect with us

Africa News

Africa a long way from connecting everywhere

Published

on

The African continent is still being marked by a lack of pervasive connectivity due to outdated infrastructure as well as delayed decisions around the introduction of 3G and 4G technologies, says MOHAMED ABDELREHIM, Head of Solutions and Business Development for Nokia MEA.

Many African countries are also going through geopolitical changes, prioritising areas other than ICT for investment to mobilise their countries. According to Mohamed Abdelrehim, Head of Solutions and Business Development for Nokia in the Middle East and Africa market, there has, however, been a shift towards providing 4G licenses without expecting substantial license fees.

“Generating quick sales by overpricing the license fees has a short-term benefit for governments. Their mid to long term goals should be around driving connectivity and accelerating the telecommunications sector, as it drives job creation and has a much bigger impact,” he says. “Once you establish a new network, you trigger different market sectors. So, accelerating the telecommunications sector automatically generates more jobs and this, in turn, drives innovation and the potential of extending connectivity nationwide including the rural areas, as the cost of MB will be reduced with the 4G compared to 2G/3G.”

Abdelrehim says that if this is delayed, all the segments relating to telecommunications will be held back from growing and generating jobs and the continent will lag behind the rest of the world in introducing new solutions, as there will not be enough connectivity, bandwidth or the required handsets to introduce those services. “Accordingly, it delays GDP growth, especially in the SME segment. If you look at Europe and Asia Pacific right now, the biggest economy segments which are benefiting from telecommunications infrastructure are basically the SMEs,” he says.

Smart city solutions, including eHealth and eLearning, are also impacted. “These solutions are dependent on services that are provided via remote connectivity. So, if you don’t have the right telecommunications infrastructure you will not be able to introduce those services. This again has a direct impact on the SME segment, which ultimately will slow down GDP growth.”

Abdelrehim says despite the relatively gloomy outlook, they are seeing some positive events unfolding on the continent. “Nokia has been selected as the strategic infrastructure provider to roll out a smart city in partnership with the Government of Rwanda. As part of the project rollout, the Government of Rwanda will invest in network connectivity and sensor deployment in different applications, which will serve the local citizens in public safety, waste management, utility applications and healthcare to name a few. “It is projects of this nature, supported and driven by government, that will make a real difference in enhancing people’s lives, creating jobs and improving economies – in this case, the economy of Rwanda. The Ministry of Youth and ICT in Rwanda believes that through this project, they will not only improve people’s day to day lives with better services and security, but they also anticipate long-term positive socio-economic benefits for the people in Rwanda. Furthermore, they also plan to share their experience with other countries in Africa.”

He says this initiative clearly demonstrates that Rwanda has the political mandate to provide the latest and best services for citizens. “Once the political mandate is in place, the next step is to partner with the right entities such as the Smart African and key vendors that can implement innovative solutions that can ultimately be replicated in other African countries as well. This, in turn, will generate more jobs in different segments and accelerate the introduction of more services, especially when it comes to learning. The key here is to address those pain points that are specific to each country.”

Abdelrehim says this lies at the heart of connecting the unconnected in Africa. “In many of the African countries, governments see it as their political mandate to connect all their citizens and a human right for every citizen on the continent to have access to broadband. Already there are several discussions underway with key entities such as UNESCO and vendors, such as Nokia to investigate the right solutions to connect the unconnected. That said, we do need the political blessing for us to bring our business models, solutions and success stories to make pervasive broadband a reality.”

He adds that while organisations have a mandate to generate revenue, they also have a social responsibility to address the social needs of people on the continent. Nokia recently sponsored and participated in CodeBus Africa, a 100-day tour connecting Finnish and African innovators as part of Finland’s official 100th anniversary celebrations. The CodeBus Africa journey spanned ten countries in total – Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, South Africa, Tanzania, Uganda and Zambia.

The aim of the project was to boost grassroots level teaching of computer programming, particularly among girls, and to contribute to long-term efforts to promote quality education, youth empowerment and employment. “The project consisted of creative coding workshops, most of which were run in township communities. Learners paired up to produce their own song with the open-source programming platform Sonic Pi – a tried-and-true curriculum developed by a Finnish technology education company and project partner Mehackit,” says Abdelrehim.

Nokia is also currently focusing on the non-carrier segment to drive acceleration of the ecosystem. “We are engaging with governments and universities and focusing very strongly on innovation and smart cities, to enable us to bring the latest use cases to Africa. At the same time, we would like to stimulate local markets through key discussions and by executing hackathons across the continent as these result in innovative solutions to local pain points that can make a real difference to people.” He says that while there are generic use cases around innovation taking place in Europe, these might not necessarily meet the needs of the continent. “That is why we are taking a bottom up approach in trying to help people bring their ideas so that we can assist them in turning those ideas into commercial products and solutions. That way we are not only solving real problems on the African continent, but we are also making a meaningful contribution to people’s lives and driving innovation to further stimulate economic growth.”

Africa News

Smart grids needed for Africa’s utilities

Power utilities across Africa should rethink their business models and how they manage and monetise their assets to keep pace with the changing energy ecosystem, says COLIN BEANEY, Global Industry Director for Asset-intensive and Energy and Utilities at IFS.

Published

on

Africa’s abundant natural resources and urgent need for power mean that it is one of the most exciting and innovative energy markets in a world that is moving rapidly towards clean, renewable energy sources. The continent’s energy industry is taking new approaches to providing unserved and underserved communities with access to power, with an emphasis on smart technologies and greener energy sources.

Power systems are evolving from centralised, top-down systems as interest in off-grid technology grows among African businesses and consumers. And according to PwC, we will see installed power capacity rise from 2012’s 90GW to 380GW in 2040 in sub-Saharan Africa. Power utilities are needing to rethink their business models and how they manage and monetise their assets to keep pace with the changing energy ecosystem.

Energy and utilities providers are transforming from centralised supply companies to more distributed, bi-directional service providers. They can only achieve this through the evolution of “smart grids” where sensors and smart meters will be able to provide the consumer with a more granular level of detail of power usage. This shift from an energy supplier to “lifestyle provider” will require a much more dynamic and optimised approach to maintenance and field service.

African companies must thus embrace digital transformation as an imperative. This transformation begins by embracing enterprise asset management to improve asset utilisation. The subsequent steps are enhancing upstream and downstream supply chain management; resource optimisation; introducing enterprise operational intelligence; embracing new technologies such as the Internet of Things, machine learning, and predictive maintenance; and becoming a smart utility.

Embracing mobility to drive ROI

Getting it right is about putting in place an enterprise backbone that accommodates asset and project management, multinational languages and currencies, new energies and markets, visualisation of the entire value chain, and mobility apps. Mobile technologies that support the field workforce have a vital role to play in driving better ROI from utilities’ investments in enterprise asset management and enterprise resource planning solutions.

Today’s leading enterprise asset management solutions feature powerful functionality for mobile management of the complete workflow of work orders – from logging status changes and updates, from receiving and creating new orders to concluding the job and reporting time, material and expenses. Such solutions are easy to deploy and intuitive for end users to learn and use.

Importantly for organisations operating in parts of the continent with poor telecoms infrastructure, connectivity is not an issue. The solutions work offline and synchronises when network connectivity is available. Users can work on any device—laptops, tablets, and smartphones—commercial or ruggedised.

By ensuring that field technicians have easy access to information and processes, the mobile solution enables technicians and maintenance engineers to easily do the following tasks:

·         Create a new work order on the fly and log new opportunities

·         Access both historical and planned work information when requested

·         Permit customers to sign when the job is completed

·         Capture measurements and inspection notes on route work orders

·         Create new fault reports on routing

·         Facilitate documentation through photo capturing

·         Provide easy access to technical data and preventive actions.

The power of mobility allows the engineer to be the origin of all data capture on a service event. They can easily inquire on asset history, record parts used or parts needed for repair, record labour hours, and expenses as they occur, and any notes of repairs performed. When coupled with workforce management tools, such solutions unlock significant productivity gains for utilities who are trying to get the most from their workforce and assets.

Continue Reading

Africa News

How machine learning can save your life

Over 11000 people died during the 2014-2016 Ebola outbreak in West Africa.The virus hopped between Guinea, Leone, Nigeria and Liberia, before making its way to the UK and US. But what would have happened if analysis and machine learning stepped in to help solve the problem, asks ANESHAN RAMALOO of SAS.

Published

on

Over 11000 people died during the 2014-2016 Ebola outbreak in West Africa.The virus hopped between Guinea, Leone, Nigeria and Liberia, before making its way to the UK and US. But what would have happened if analysis and machine learning stepped in to help solve the problem, asks ANESHAN RAMALOO of SAS.

But what if we could have predicted the outbreak months before it happened, buying us time to take proactive measures to contain it and curb its spread?

With access to overwhelming volumes of data, the computational power needed to store and analyse this data in real time, and sophisticated algorithms that can find patterns in the data and alert authorities to health problems before they become, well, problems, pandemics don’t have to be as devastating as they have been in the past.

In fact, with advanced data analytics, we can better manage any disease – long-term, short-term or pandemic – resulting in better patient treatment, more efficient use of resources and cost savings.

It’s been done before.

By analysing data from social media, blogs, online forums and keyword searches, we were able to predict the 2012-2013 US flu season three months before the Center for Disease Control (CDC) issued its first official warning.

Imagine the impact if the same analytical power was applied across the entire healthcare spectrum – not only on a national and global level, but right down to the individual level.

Data evolution

In the past, health workers relied on manually intensive, paper-based systems to record infections and deaths during disease outbreaks. Not only was it easy for errors to slip through but because the data was anecdotal and historical, authorities did not get a complete understanding of the reach and impact of the outbreak.

During the Ebola outbreak, the CDC adopted a mobile data collection system that enabled health workers to instantly submit information to a database via text messages. This low-cost method of information gathering not only resulted in fewer errors but also allowed analysts to draw up detailed maps of population movements, which made it easier to understand how the disease was likely to spread, and where to set up treatment centres.

While this was certainly an improvement on the paper-based systems of old, the drawback was that mobile data was historic and did not provide researchers with the ability to track developments and population movements in real time.

Data-driven action

But mobile phones are just one source of data. Today, health authorities can overlay thousands of data sources – including social media, health and physician reports, keyword searches, media reports, transactional data from retailers and pharmacies, airline ticket sales, geospatial data and more – to not only better manage diseases and outbreaks when they do happen, but to see them coming months in advance – and what could happen if we don’t act on the information.

By mining structured and unstructured data, we can track the movements of infected populations and who they come into contact with; we can measure the success of containment policies, education campaigns and treatments – and what to do if they’re not working; we can determine the effect of weather and other environmental factors on the spread of diseases.

Never before have we been able to act on information to save lives, not just during pandemics but through better understanding and treatment of diseases.

Personalised treatment

Until now, standard treatments for diseases such as cancer and HIV have been applied to all patients, regardless of their unique profiles and with little understanding as to why some people respond well to certain treatments and others don’t.

But by analysing and creating ‘medical maps’ of individuals that take into account their anatomy, physiology, DNA, RNA and chemical composition, doctors can prescribe personalised treatments that have a greater chance of success.

There are many other benefits of data analysis in healthcare:

·        Personalised treatment can result in fewer hospital admissions and can produce faster results and better experiences for patients;

·        By better understanding the impact of lifestyle and diet on health, medical aid providers can educate their members with the aim of improving their health, which could result in cost savings for both the provider and the member;

·        Governments can use data to develop proactive approaches to protecting and promoting public health, to prioritise services and to find ways to cut costs so that they can provide healthcare to more citizens.

·        By sharing data and results from clinical trials and combining that data with academic, patient and industry data, medical researchers can better understand the genetics of viruses, why some strains are more deadly than others, and why some people are more resistant to viruses. This could spark innovation and generate new insights that ultimately improve treatment and outcomes.

AI and machine learning

As the use of intelligent algorithms, machine learning and natural language processing becomes more entrenched in advanced data analytics, technology will increasingly supplement the skills of humans to produce faster and more accurate medical diagnoses.

We’re already seeing successful applications of artificial intelligence (AI) in predicting relapse in leukaemia patients and in distinguishing between different types of cancer.

Machine learning can extract valuable insights from unstructured data like clinical notes and academic journals to provide even larger datasets that will transform the medical industry into a proactive front against diseases.

There are plenty of doomsday theories about how machines will supersede our intelligence and rise against us. But there aren’t enough stories about the potential of data analytics, AI and machine learning to supplement human skills and knowledge to drastically changes lives for the better – and even save them. Right now, it’s looking more likely that machines will actually help us to live longer – and I don’t know many people who would object to that.

 

  • ANESHAN RAMALOO, ‎Data Scientist and Senior Business Solutions Manager at SAS.
Continue Reading

Trending

Copyright © 2018 World Wide Worx