May 19, 2020

South Africa: smart cities beginning to materialise

Big Data
Smart cities
Machine Learning
mahlokoane percy ngwato
4 min
South Africa: smart cities beginning to materialise

The utopian vision of the Smart City often involves carefully orchestrated traffic and public transport systems, connected with Internet Protocol (IP) security cameras, solar power generators, well-functioning water and sanitation services, city-wide access and payment solutions using smartcards and biometrics.

It evokes images of the digital cityscapes seen in the popular video game, The Sims. While in reality, South Africa may have to wait some time to see these kinds of integrated city-wide systems, the good news is that the first steps on the journey to smart cities are starting to materialise.

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In the country’s economic hub of Johannesburg, citizen reporting initiatives allow individuals to report issues with road conditions, community safety, and waste management.

In the case of the Johannesburg Road Agency’s (JRA) ‘Find and Fix’ app, people can report potholes and other road maintenance issues, supported with images taken on the phone’s camera, and automatic geolocation data recorded from the smartphone’s Global Positioning System (GPS). These reports are plugged into the JRA’s backend systems – which sees crews of maintenance staff being dispatched to solve the reported problems.

Similar pilots are now in progress with city authorities the areas of waste management and community security forums. These services use the same reporting platform, with different user interfaces to the customer at the front end, and custom integration to the relevant authority on the back end.

In the private sector, the reporting platform has even been applied to the world of facilities management, to ease the process of reporting and fixing building maintenance issues. It can be adapted and scaled in many different directions.

We believe these examples are something of a portent for the future. If step one is all about ‘human-generated’ data (reports on potholes, for example), then step two will involve integrating machine-generated data (such as connected cameras that estimate the wait time at public bus terminals, or in queues at your local Home Affairs office).

In this step, sophisticated algorithms interpret these various data sources – from sensors, cameras, or any other kind of connected device – and produce useful insights to citizens. So, an IP camera records the density of people waiting at a bus terminal, and translates it into a ‘likely waiting time’ indication for people heading to the terminal.

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With rich flows of human-generated and machine-generated data, city authorities and administrators get far more accurate view of the services under their control, and the issues facing citizens. This forms the basis for improved decision-making – from budgeting decisions, to public transport planning, traffic management strategies, policing issues, and more.

In our vision for the future of South African smart cities, reaching ‘step three’ requires other elements to fall into place. In this step, ubiquitous smartphone penetration and the proliferation of free urban Wi-Fi networks are required. Fortunately, these bigger infrastructure and environmental requirements will likely become a reality within the next few years.

Step three is essentially defined as:

• The mass-scale adoption of citizen reporting and engagement tools.

• A wide array of smart city services across many areas of service delivery and many different departments or city authorities.

• Big Data insights that are processed by sophisticated systems, using machine learning.

In this way, the flood of incoming data is handled in real-time by processing systems. These systems can dynamically alter the timing of traffic lights, the schedules of maintenance and sanitation crews, the dispatching of emergency teams, the routings of trains and buses, or indeed just about any other form of Smart City service.

By following this logical sequence and taking things step-by-step, we’ll learn about the optimal ways to configure our systems and to learn from the data. Ultimately, if we get this right, there is no reason why we cannot progress towards our utopian vision of the Smart City.

By Lionel Moyal, Head of Intervate, a T-Systems company

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Jun 18, 2021

GfK and VMware: Innovating together on hybrid cloud

3 min
VMware has been walking GfK along its path through digital transformation to the cloud for over a decade.

GfK has been the global leader in data and analytics for more than 85 years, supplying its clients with optimised decision inputs.  

In its capacity as a strategic and technical partner, VMware has been walking GfK along its digital transformation path for over a decade. 

“We are a demanding and singularly dynamic customer, which is why a close partnership with VMware is integral to the success of everyone involved,” said Joerg Hesselink, Global Head of Infrastructure, GfK IT Services.

Four years ago, the Nuremberg-based researcher expanded its on-premises infrastructure by introducing VMware vRealize Automation. In doing so, it laid a solid foundation, resulting in a self-service hybrid-cloud environment.

By expanding on the basis of VMware Cloud on AWS and VMware Cloud Foundation with vRealize Cloud Management, GfK has given itself a secure infrastructure and reliable operations by efficiently operating processes, policies, people and tools in both private and public cloud environments.

One important step for GfK involved migrating from multiple cloud providers to just a single one. The team chose VMware.

“VMware is the market leader for on-premises virtualisation and hybrid-cloud solutions, so it was only logical to tackle the next project for the future together,” says Hesselink.

Migration to the VMware-based environment was integrated into existing hardware simply and smoothly in April 2020. Going forward, GfK’s new hybrid cloud model will establish a harmonised core system complete with VMware Cloud on AWS, VMware Cloud Foundation with vRealize Cloud Management and a volume rising from an initial 500 VMs to a total of 4,000 VMs. 

“We are modernising, protecting and scaling our applications with the world’s leading hybrid cloud solution: VMware Cloud on AWS, following VMware on Google Cloud Platform,” adds Hesselink.

The hybrid cloud-based infrastructure also empowers GfK to respond to new and future projects with astonishing agility: Resources can now be shifted quickly and easily from the private to the public cloud – without modifying the nature of interaction with the environment. 

The gfknewron project is a good example – the company’s latest AI-powered product is based exclusively on public cloud technology. The consistency guaranteed by VMware Cloud on AWS eases the burden on both regular staff and the IT team. Better still, since the teams are already familiar with the VMware environment, the learning curve for upskilling is short.

One very important factor for the GfK was that VMware Cloud on AWS constituted an investment in future-proof technology that will stay relevant.

“The new cloud-based infrastructure comprising VMware Cloud on AWS and VMware Cloud Foundation forges a successful link between on-premises and cloud-based solutions,” says Hesselink. “That in turn enables GfK to efficiently develop its own modern applications and solutions.

“In market research, everything is data-driven. So, we need the best technological basis to efficiently process large volumes of data and consistently distill them into logical insights that genuinely benefit the client. 

“We transform data and information into actionable knowledge that serves as a sustainable driver of business growth. VMware Cloud on AWS is an investment in a platform that helps us be well prepared for whatever the future may hold.”

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