Saving endangered species - with data
David Northmore, VP EMEA, MarkLogic, discusses the use of data to fight against poaching in Europe and Africa.
The battle to save the world’s most endangered species garnered international media attention earlier this year with news of the last male northern white rhino’s death. In fact, three of the five species of rhinoceros are now critically endangered, according to The World Wildlife Fund.
Much of the problem is caused by poaching, and it’s obviously not just rhinos that are at risk. Central Africa for example has lost as much as 64% of the area’s elephants in the last few years as a result of such illegal activity. While huge efforts are being made in the fight for conservation and there’s no doubt that technology has a significant role to play, it’s also clear that a technology gap still hinders the ability of many NGOs, governments and rangers on the ground from adequately protecting endangered animals.
The individuals tasked with this responsibility are frequently biologists and conservationists without technology backgrounds. On the other hand, poachers are often incredibly well resourced; using sophisticated weapons, tracking equipment and sometimes even helicopters to poach elephants, rhinos and other endangered species.
However, thankfully this technology gap is starting to be plugged, and one specific way is through better capture, integration and use of data. Dutch social enterprise, Sensing Clues is doing just this, having developed sophisticated, industry-leading sensor technology in collaboration with several organisations, including MarkLogic, with the aim of protecting endangered wildlife.
The technology has already been put into the hands of rangers and conservationists across Africa and Europe with encouraging results. One project has seen Sensing Clues develop an early warning system for rangers tasked with protecting elephants from poachers in Kenya. The system, a data hub framework, combines a number of different technologies: smart IoT sensors to detect human activity in remote locations, storage and management of complex data sets, analytical intelligence for spatial awareness and response coordination technologies; all driven by modern NoSQL database technology.
As part of the system, sound sensors can also distinguish between different types of vehicles and weapons, while light sensors deployed across large uninhabited spaces can pick up humans using artificial light sources. The technology also enables rangers to produce and easily analyse and understand enormous data sets. With this 360-degree view of data they can now easily see when people are entering restricted areas, enabling them to react more quickly to threats.
Similar technology is also being deployed in Sweden and the Netherlands where the poaching of wolves is a serious problem. These countries are now starting to see a slight resurgence in the wolf population, which has also been impacted by habitat encroachment due to over-population.
However, the deployment of this kind of technology is not only limited to the fight against poaching. Nepal only has around 250 tigers left in the wild, with road accidents one of the biggest causes of tiger deaths in the country. Another project led by Sensing Clues has seen IoT sensors deployed along roads in Nepal’s Bardiya National Park, which produce data sets around the behaviours of drivers. As a result, rangers are able to analyse the data and understand the danger spots for tigers, subsequently steering the animals away from these areas and also diverting drivers.
The sensor technology being used in these innovative projects can also detect various metrics such as artificial light, radio frequencies, thermal heat and noises, which can alert rangers to the presence of poachers or companies conducting illegal activities such as dumping waste in protected areas. And, because the sensors are smart, they can make intelligent determinations about the incoming data, including distinguishing between domesticated and wild animals.
It’s clear that without access to such technology, rangers have little chance in being able to mitigate the threats they are confronted with each day. Areas of land are quite simply too vast, and boots on the ground too few. However, as Sensing Clues have shown, the tide is starting to slowly turn.
One of the keys to ensuring the ongoing success of such projects is integrating all types of data from different sources or silos, as we can see from how Sensing Clues is able to take information from beyond one sensor and gain a 360-degree view of the situation. If there is one lesson that can be learned from this, it’s that data really does matter, and so does the technology behind it.
GfK and VMware: Innovating together on hybrid cloud
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.”