How M2M can disrupt the automobile sector
The technology industry’s love affair with the so-called ‘Internet of Things’ (IoT) continues unabated. Technologists in almost every industry are touting the future of connected sensors, devices, components, and actuators – all pumping information into a sprawling network of cloud services.
The automotive industry is regarded as one of the verticals most perfectly primed to capitalise on The IoT, and Machine-to-Machine (M2M) communication advancements. In recent years, high-tech companies like Tesla, Apple and Uber have raced into leading positions in the automotive and transportation arenas.
New technology has certainly exposed a number of slower-moving, more traditional automotive players to various risks of disruption. But, for those vehicle manufacturers and service providers that are willing to embrace change, advancements like M2M offer incredible opportunities.
These include things like reduced costs, greater efficiencies, increased transparency, minimised risks, enhanced service quality, better environmental protection, and the possibilities for new business models.
We essentially describe the emergence of M2M in the automotive sector across three levels, showing the escalating value that can be derived by manufacturers and others in the ecosystem.
Level 1: Connect and visualise – devices and sensors start recording driving patterns, vehicle performance, geolocation data, and other metrics.
This can be overlaid with other data sources – such as weather, real-time traffic data, airport and bus schedules, or traffic light failures – to communicate useful information back to the driver. This promises to enhance vehicle safety and general enjoyment levels, and reduce annoyances like traffic jams.
Level 2: Analyse and optimise – by developing the right tools to understand and analyse the streams of incoming data, we can start to predict certain things – such as traffic congestion in a certain areas, risks of driver fatigue, or vehicle components that are likely to fail soon.
Safety is a major selling point for connected car technology. Noting that most accidents happen at intersections or while changing lanes, in-vehicle warnings could alert drivers to potential crashes with merging vehicles that are nearby, cars that are in the driver’s blind-spot or even harsh braking from the vehicle in front.
Level 3: Innovate and grow – for vehicle manufacturers, these rich insights from customers’ every move while they are driving will fuel new product and service offerings, and new collaboration opportunities – even with service providers in previously-unrelated industries, but now part of the connected car ecosystem.
Original Equipment Manufacturers (OEMs) will be able to make an evolutionary leap, from once-off sellers of hardware (the car itself), to integrated service providers that remain in close contact with their customers throughout their lives. Radical new partnerships will become possible in areas like security, track-and-trace, entertainment and internet connectivity, navigation, insurance, emergency help, and roadside assistance.
A recent study from Machina Research predicted an astonishing 1.5 billion M2M connections in the automotive sector by 2022 – creating a global connected car market of $282 billion.
While these estimates may sound optimistic, some companies have already accelerated away from the start line: with some higher-end cars already featuring adaptive cruise control, blind sport systems and cameras, and lane-changing aids.
But the key to unlocking the future potential of M2M, and achieving the kind of radical transformation that analysts like Machina are predicting, is developing platforms to handle the explosion of data. These platforms are the ‘information superhighways’ that transmit, interpret, and find meaning in the masses of machine-generated data.
These platforms empower OEMs with the ability to achieve what we term ‘zero distance’ with the consumer: close contact and intimate understanding, throughout every stage of the customer journey and customer lifecycle.
M2M truly does hold the potential of transforming the automotive sector and improving the way we move around every day. Supported by powerful information superhighways, the role of OEMs and other industry payers can be transformed, in the high-tech future of transportation that stretches ahead of us.
By Michael Frans, Head of Business Operations: Automotive at T-Systems South Africa
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.”