Finding applications of artificial intelligence in the automotive industry requires only a scant reading of news headlines. From IBM Watson’s partnership with the General Motors OnStar platform to Toyota’s $1 billion investment in AI-based self-driving technology, the marriage of AI with automotive technology has surely been consummated. It seems that every stakeholder in the automotive industry is looking for a way to capitalize on recent advances in AI technology.
The growth of connected car provides both opportunities and challenges for the automotive industry and the developers who support it. Among the greatest challenges is what to do with all that data. As connected cars increasingly stream data into the cloud from telematics systems, infotainment systems, and the dizzying array of smart IoT sensors, each connected vehicle is apt to produce more than 25 gigabytes per hour as more cloud-based services come online. The key to using this deluge of data wisely lies in vehicle data analytics — and predictive analytics, in particular.
The role of the fleet manager is rapidly changing. Expanding global supply chains, data overload, and encroaching connected car technology place substantial burdens on managers to change the way they work. Many are turning to fleet management system development providers for solutions. And rightly so, for only innovative fleet software and fleet platforms can help managers with the increasingly data-centric responsibilities they face.
With the road wide open for connected vehicles, it is becoming clear that big data will be along for the ride. And we don’t mean in the back seat. In this article, we are going to take a look at how the connected car big data partnership will benefit consumers, and how big data might actually drive growth in this new market.
The automobile industry is poised for its first technological revolution. Unlike any previous automotive advancement, connected car technology will soon change the very purpose of the vehicle. Rather than merely taking us from point A to Point B, vehicles will now be capable of ordering our meals — and paying for them, scheduling their own repairs at the service center, and even communicating with IoT-enabled devices within our homes. But the new generation of automobiles come with some potentially deadly cargo: the potential for connected car hacking.
While automakers scramble to explore how IoT can be exploited for the advancement of connected car services and features, addressing cyber security for automotive applications has become an equal priority. The pressing need to protect connected vehicles from a wide range of cyber threats has spawned a burgeoning new industry: automotive cyber security.
Here’s a riddle: What vehicle technology can result a 97% reduction in speeding, a 7% improvement in fuel economy, and a 47% reduction in accidents? If you guessed connected car, congratulations — you understand the huge impact that Internet of Things (IoT) technology is having on fleet management.
The growing popularity of connected cars is driving development in a burgeoning new industry: connected car app development. PWC forecasts that sales of connected car services will reach $155.9 billion by 2022, with driver assistance and safety applications capturing the greatest market share. As automobile manufacturers seek ways to offer drivers more infotainment and other connected car solutions, developing a car app may well be the best way for developers to tap a new market in an age-old industry.