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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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Monitoring Your Microservices on AWS with Terraform and Grafana – Basic Microservices Architecture


Do you have an application in the AWS cloud? Do you have several microservices you would like to monitor? Or maybe you’re starting your new project and looking for some good-looking, well-designed...



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How to Achieve Sustainable Mobility Using Sustainable Software Development


Should the code be green? Sustainable Mobility is the key goal for today and future vehicle manufacturers and mobility providers. Reducing the CO2 footprint of transportation contributes to b...



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Serverless Architecture with AWS Cloud Development Kit (CDK)


The IT world revolves around servers - we set up, manage, and scale them, we communicate with them, deploy software onto them, and restrict access to them. In the end, it is difficult to imagine our...



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