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From Silos to Synergy: How LLM Hubs Facilitate Chatbot Integration


In today's tech-driven business environment, large language models (LLM)-powered chatbots are revolutionizing operations across a myriad of sectors, including recruitment, procurement, and marketing....



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Exploring the Architecture of Automotive Electronics: Domain vs. Zone


The automotive industry is undergoing a transformative shift towards electrification and automation, with vehicles becoming increasingly reliant on sophisticated electrical and electronic systems. At...



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Addressing Data Governance Challenges in Enterprises Through the Use of LLM Hubs


In an era where more than 80% of enterprises are expected to use Generative AI by 2026, up from less than 5% in 2023, the integration of AI chatbots is becoming increasingly common​. This adoption...



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Fleet Management Task with AWS IoT – Overcoming Limitations of Docker Virtual Networks


We’re working for a client that produces fire trucks. There is a list of requirements and the architecture proposal in the first article and a step-by-step implementation of the prototype in the se...



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Exploring Texas Instruments Edge AI: Hardware Acceleration for Efficient Computation


In recent years, the field of artificial intelligence (AI) has witnessed a transformative shift towards edge computing, enabling intelligent decision-making to occur directly on devices rather than r...



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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 3


Blend AI assistant concepts together This series of articles starts with a general chatbot description – what it is, how to deploy the model, and how to call it. The second part is about tailori...



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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 2


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 busi...



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How to Develop AI-Driven Personal Assistants Tailored to Automotive Needs. Part 1


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...



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Vehicle Fleet as IoT – Virtual Networks on Edge


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 pr...



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How to Build Software Architecture for New Mobility Services – Connected Vehicle Remote Control


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 dat...



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How to Manage Fire Trucks – IoT Architecture with Isolated Applications and Centralized Management System


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 s...



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Generative AI in Automotive: How Industry Leaders Drive Transformation


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 aut...



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Quarkus Framework Overview and Comparison with Spring Boot


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 dev...



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Android Automotive OS 11 Camera2 and EVS  – Two different camera subsystems up and running


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 t...



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How to Build Software Architecture for New Mobility Services – Gathering Telemetry Data


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 occu...



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