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How to Monetize Vehicle Data Thanks to In-car Technologies – What’s Inside a Software-Defined Vehicle – Part 2
The collection of data and its subsequent monetization wouldn’t be possible without the ‘’attachment points" in the form of technologies already used in vehicles and controlled parts and system...
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How to Monetize Vehicle Data Thanks to In-car Technologies – The Biggest Challenges and Control Points of the Process – Part 1
Brook. Not a stream yet, though. But in the foreseeable future, it is going to be a proper river. What are we talking about? Data obtained from vehicles. Experts estimate that data inflow is likely t...
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Monitoring Your Microservices on AWS with Terraform and Grafana – Monitoring
Welcome back to the series. We hope you’ve enjoyed the previous part and you’re back to learn the key points. Today we’re going to show you how to monitor the application. Monitoring We w...
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Kubernetes Supports Windows Workloads – The Time to Get Rid of Skeletons in Your Closet Has Come
Enterprises know that the future of their software is in the cloud. Despite keeping that in mind, many tech leaders delay the process of transforming their core legacy systems. How will the situatio...
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The Next Step for Digital Twin – Virtual World
Digital Twin is a widely spread concept of creating a virtual representation of object state. The object may be small, like a raindrop, or huge as a factory. The goal is to simplify the operations o...
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IoT SaaS – Why Automotive Industry Should Care, and Which AWS IoT or Azure IoT is Better to Use as a Base Platform For Connected Vehicle Development
We're connected. There’s no doubt about it. At work, at home, in town, on holidays. Our life is no longer divided into offline and online, digital and analog. Our life is somewhere in between, and...
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Building Telematics-based Insurance Products of the Future
Thanks to advancements in connected car technologies and the accessibility of personal mobile devices, insurers can roll out telematics-based services at scale. Utilizing telematics data opens the d...
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Cybersecurity Meets Automotive Business
The automotive industry is well known for its security standards regarding the road safety of vehicles. All processes regarding vehicle development - from drawing board to sales - were standardized...
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How to Automate Operationalization of Machine Learning Apps – Running First Project Using Metaflow
In the second article of the series, we guide you on how to run a simple project in an AWS environment using Metaflow. So, let’s get started. Need an introduction to Metaflow? Here is our a...
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How to Monetize Car Data – 3 Strategies for Companies and 28 Practical Use Cases
Data is the currency of the 21st century. Those who have access to it can manage it wisely and draw constructive conclusions to get ahead and outperform the competition. The business model based on...
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Machine Learning at the Edge – Federated Learning in the Automotive Industry
Machine Learning combined with edge computing gains a lot of interest in industries leveraging AI at scale - healthcare, automotive, or insurance. The proliferation of use cases such as autonomous d...
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8 Examples of How AI Drives the Automotive Industry
Just a few years ago, artificial intelligence stirred our imagination via the voice of Arnold Schwarzenegger from "Terminator" or agent Smith from "The Matrix". It wasn't long before the rebellious...
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The Future of Autonomous Driving Connectivity – Quantum Entanglement or 6G?
The title of the article is quite deceiving - both mentioned technologies are currently just distant concepts based on widely divergent connectivity mediums. It’s still a distant future, but letâ€...
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Transition Towards Data-driven Organization in the Insurance Industry: Comparison of Data Streaming Platforms
Insurance has always been an industry that relied heavily on data. But these days, it is even more so than in the past. The constant increase of data sources like wearables, cars, home sensors, and...
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How to Automate Operationalization of Machine Learning Apps – an Introduction to Metaflow
In this article, we briefly highlight the features of Metaflow, a tool designed to help data scientists operationalize machine learning applications. Introduction to machine learning operat...
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