How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 2
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
2d ago
Making the chatbot more suitable Recently we’ve built a simple chatbot, using an Azure-hosted GPT 4 Turbo instance. It’s a great starting point, but we definitely need more to fulfill any business requirements. Let’s try to talk with our bot. Prompt: Hi, I’d like to buy a new car. Can you assist me with a choice? I’m looking for a family car with a hybrid powertrain and all-wheel drive. I’m a fan of modern design and fancy features. My budget is around 70k euro. Completion: Absolutely, I’d be happy to help you find a suitable family car that meets your criteria! Given your preferences (…), the ..read more
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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 1
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
1w ago
Artificial Intelligence is everywhere – my laundry dryer is “powered by AI” (whatever it means), and I suppose there are some fridges on the market that take photos of their content to send you a shopping list and maybe even propose a recipe for your next dinner basing on the food you have. Some people say that generative AI and large language models (LLMs) are the most important inventions since the Internet, and we observe the beginning of the next industrial revolution. However, household appliances and the newest history deliberation are not in our sphere of interest. The article about AI ..read more
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Vehicle fleet as IoT – virtual networks on edge
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
1w ago
In the earlier article, we’ve covered the detailed architecture of a fleet management system based on AWS IoT and on-edge virtual networks. Now, we can dive into implementation. Let’s create a prototype of an edge network with two applications running together on both virtual and physical nodes and with isolated virtual networks. As we don’t have fire trucks on hand, we use three computers (the main truck ARM computer simulated by a Raspberry Pi and two application nodes running on laptops) and a managed switch to connect them together. Overview of topics and definitions used in the material I ..read more
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How to Build Software Architecture for New Mobility Services – Connected Vehicle Remote Control
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
3w ago
Remote control over a vehicle is not a new idea; it has become a trend in the modern world. The idea of vehicle remote control is highly connected with vehicle telematics, which is used to gather data using GPS technology, sensors, and onboard diagnostics codes. Managed data can include vehicle location, driver behavior, vehicle activity, and real-time engine diagnostics. Further, the technology is managed on software platforms that help fleet owners manage their assets remotely. The data collected often includes vehicle location, fuel consumption, speeding, and maintenance information. But wh ..read more
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How to Manage Fire Tracks – IoT Architecture with Isolated Applications and Centralized Management System
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
1M ago
Welcome to a short cycle of articles that shows a way to combine network techniques and AWS services for a mission-critical automotive system. We’ll show you how to design and implement an IoT system with a complex edge architecture. The cycle consists of three articles and shows the architecture design, a step-by-step implementation guide, and some pitfalls with the way to overcome these. Let’s start! AWS IoT usage to manage vehicle fleet Let’s create an application. But this won’t be a typical, yet another CRUD-based e-commerce system. This time, we’d like to build an IoT-based fleet-wise sy ..read more
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Generative AI in Automotive: How Industry Leaders Drive Transformation
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
1M ago
Generative AI is quickly emerging as one of the key drivers of automotive innovation. This shift is not just a future possibility; it’s already happening. In 2023, the generative AI market in the automotive sector was valued at approximately USD 387.54 million. Looking ahead, it’s projected to surge to about USD 2,691.92 million by 2032, demonstrating a robust Compound Annual Growth Rate (CAGR) of 24.03% from 2023 to 2032. Major Original Equipment Manufacturers (OEMs) are integrating sophisticated AI algorithms into various aspects of the industry, from vehicle design to enhancing customer int ..read more
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Quarkus Framework Overview and Comparison with Spring Boot
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
2M ago
In this article, we’ll give an overview of the Quarkus framework and compare it with Spring Boot –  the most popular Java backend framework. Quarkus is an open-source Java framework for developing web applications. It is designed to build apps in a modern approach with microservices and cloud-native applications. Quarkus has built-in support for the two most popular package managers: Gradle and Maven. By default, a new starter project created using the official Quarkus CLI uses Maven, although it may be easily switched to generate a grade-based project instead. Features Comparison to Spri ..read more
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Android Automotive OS 11 Camera2 and EVS  – Two different camera subsystems up and running
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
3M ago
Android Automotive OS, AAOS in short, is a vehicle infotainment operating system that has gained a lot of traction recently, with most of the OEMs around the world openly announcing new versions of their infotainment based on Android. AAOS is based on the AOSP (Android Open Source Project) source code, which makes it fully compatible with Android, with additions that make it more useful in cars – different UI, integration with hardware layer, or vehicle-specific apps. For OEMs and Tier1s, who are deeply accustomed to infotainment based on QNX/Autosar/Docker/Linux, and software developers worki ..read more
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How to Build Software Architecture for New Mobility Services – Gathering Telemetry Data
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
3M ago
In the modern world, tech companies strive to collect as much information as possible about the status of owned cars to enable proactive maintenance and rapid responses to any incidents that may occur. These incidents could involve theft, damage, or the cars simply getting lost. The only way to remotely monitor their status is by obtaining telemetry data sent by the vehicles and storing it on a server or in the cloud. There are numerous methods for gathering this data, but is there an optimal approach? Is there a blueprint for designing an architecture for such a system? Let’s explore. What do ..read more
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Predictive Maintenance in Automotive Manufacturing
Grape Up | Cloud Technologies, Software Delivery, AI & Business
by Agata Olbrycht
3M ago
Our initial article on predictive maintenance covered the definition of such a system, its construction, and the key implementation challenges. In this part, we’ll delve into how PdM technology is transforming different facets of the automotive industry and its advantages for OEMs, insurers, car rental companies, and vehicle owners. Best predictive maintenance techniques and where you can use them In the first part of the article, we discussed the importance of sensors in a PdM system. These sensors are responsible for collecting data from machines and vehicles, and they can measure various va ..read more
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