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Data management…new eldorado?

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It is often said today that ‘data is the new black gold’. While it is true that data is more important than ever, I think this phrase greatly underestimates its importance.

Data isn’t the new black gold, it’s everything new. There is very little we do in the modern age that is not closely associated with and underutilized high quality data. the Car market No different. Today there are vast amounts of data from everything from connected cars to smart sensors. This rich data has the potential to create new jobs and technology.

Yet despite successful models showing how to use data more meaningfully than ever before, we’re still only scratching the surface of its potential in a car. There are many reasons for this and many structural and technical barriers that exist in the automotive industry today that prevent us from taking data to the next level. If we are to realize the full potential of data, the industry must address the following three challenges.

The first is what we are talking about different languages. Today, countless differences in vehicle structures impede data sharing. Components are different in every vehicle design, they’re wired differently and they have different software – even different models from the same OEM! However, there are several key data points common to all vehicles which, if accessed globally, could add significant value. If we have any hope of providing connected vehicles that communicate and say useful things to each other like “Hey, watch out, I’m going to start braking”, we need better interoperability, like the Rosetta Stone for vehicles. One initiative likely to improve this consistency is the standard Covisa On the vehicle signal specification, which is increasingly being relied upon.

we stuck in the past This is our second challenge. The way data is captured today is often frozen in the past. Everything about modern computing changes, with frequent updates to consumer electronics, but most cars are rarely updated. And for good reason: Designing and validating complex, safety-critical vehicle systems is hard and time-consuming work. Many safety-critical systems need to be thoroughly validated and deliberately updated. At the same time, many non-security-critical systems can collect useful data, but updates to these systems are often slowed to the same rate as security-critical systems. It is therefore imperative that the vehicle data collector take advantage of this observation, as it allows rapid deployment of accurate data capture policies without posing a security risk or requiring the heavy verification burden that comes with it.

Finally, we are not cloud optimization. Another problem is that traditional data collection is largely static, which leads to an unprofitable situation. To avoid massive downloads over LTE, ingest and cloud storage, which can get expensive, data capture is often limited and the result doesn’t provide enough information to draw useful conclusions. A better approach is to realize that not all data has the same value all the time. For example, there is no point in sending high-resolution data to the cloud when everything is working normally, such as reporting every 10 minutes that the anti-lock braking system is working properly. On the contrary, it will be It is highly desirable to capture high-resolution event data before and after an ABS system failure in order to diagnose the problem, as well as capture it from a series of dependent systems that may help diagnose the underlying problem. Only configurable methods of playback, acquisition, and analysis allow us to reap the benefits of high-quality data without having to capture everything all the time. Our approach to data capture allows for comprehensive configuration and has been praised by our users for enabling exactly these capabilities.

The importance of having high quality data cannot be overemphasized. Vehicles must evolve to enable rich data and the good news is that this evolution does not require redesigning the vehicle. Thus, by deploying data control systems in many vehicle models, customers will be able to benefit immediately. Data collection has a bright future, and it will be hard to go back.

Column by: Karen Paolini, Director of Business Development, EMEA – Sonatos

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