Mercedes-Benz Tech Innovation

Thank you for 3️⃣ 0️⃣ . 0️⃣ 0️⃣ 0️⃣ followers! Your dedication drives us forward. And today we’ve reached a milestone together. This represents not just a number, but a community, a journey and our shared passion for #technology and #innovation. A huge thank you for following us and being part of this ride! But please remain seated with your seatbelt fastened – stay with us as we shape the #digitalfuture of mobility and bring IT onto the streets. We want to hear from YOU: What topics would you like to see featured on our channel? Drop your ideas in the comments! 💬 #techinnovators

Curious about how to determine the energy consumption of an electric vehicle on a specific route with varying environmental conditions? 🔋 That's where energy forecasting comes in! Franziska Bock, Software Engineer, sheds light on energy forecasting and its benefits in our latest video. Check it out! 👇 #techinnovators #mercedesbenz #softwareengineer

Working with tons of raw data sounds like a nightmare to most of us? 🤕 But not for Julia Widera – she thrives on turning it into valuable insights! Meet her in our latest episode of #WomenInTech and discover her journey, including her experiences in her first job after graduation. #techinnovators #womenpower #dataengineer

Code the Future of Navigation: Students with ML (Machine Learning) and LLMs (Large Language Models) approaches in the fast lane! 🚗 Creativity, teamwork, and vision were the driving forces behind our hackathon with the Karlsruher Institut für Technologie (KIT). Twenty-five talented students gathered at our location in Karlsruhe to revolutionize navigation. Our "Code the Future of Navigation" hackathon set the stage for creative exchange between research and industry, with three exciting focus areas: ✅ Personalized route planning: Adaptive navigation tailored to individual preferences and contextual factors. ✅ Driver behavior analysis: Creating dynamic driver profiles based on behavioral data. ✅ Routine & pattern recognition: Predicting driving behavior to enhance navigation efficiency. Different teams – diverse innovative approaches: 💡 Predictive route modeling – Using ML methods like random forests to predict routing decisions based on historical data. 💡 Utility-based decision modeling – Combining ML with utility theory to analyze and weigh key factors influencing route choices. 💡 Carpooling & personalized travel patterns – Identifying and leveraging individual mobility patterns to optimize shared rides and route planning. 💡 Weather-aware route optimization – Integrating weather data into routing algorithms, including meteorological data processing and optimization strategy adjustments. 💡 Personalized stop recommendations with LLMs – Leveraging LLMs to generate customized stop recommendations based on driver profiles and contextual factors. Inspiring talks from experts like Jens Nahm, Harry Baur, Peter Dung, Franziska Pöpperl, Alexandra Wins, Daniel Saad, Johannes Nonnenmacher, and Jochen Mehlhorn fueled the spirit of innovation. Special thanks to the KIT and Fabian Rybinski for supporting the collaboration between academia and industry.   To support these innovations, we provided high-quality synthetic datasets simulating real-world driving behavior, generated using data from our business stream “One Customer”, LLMs, utility theory, and probabilistic methods. The results were impressive! They will be integrated into ongoing projects and presented to our Mercedes-Benz AG Business Partners. Our hackathon was a huge success, marking a significant step towards a connected and intelligent future of navigation. The collaboration between students and our experts showcased the immense potential of merging research and industry. 🤝 #techinnovators #machinelearning 

ChatGPT, GenAI, Machine Learning... – What´s the difference? 🤔 Terms related to Artificial Intelligence are popping up everywhere. It's completely normal to lose track – but don't worry, we've got you covered! 🧠#ArtificialIntelligence (AI): The broadest field that encompasses all forms of machine intelligence. AI aims to create human-like intelligence in machines that are capable of performing tasks autonomously. 🧠#MachineLearning (ML): A subfield of AI that focuses on developing algorithms and models that can learn from data without being explicitly programmed. ML was the driving force behind the first wave of AI, which began in the 1980s and primarily relied on statistical methods. 🧠#DeepLearning (DL): Another subfield of AI that involves the development of artificial neural networks consisting of multiple layers of interconnected artificial neurons. DL is the driving force behind the second wave of AI, which has been occurring since the 2010s and relies heavily on the availability of large datasets and powerful computing resources. 🧠#GenerativeAI (GenAI): A subset of AI that focuses on developing deep learning models capable of generating new data or content that resembles what they have learned. GenAI is the driving force behind the third wave of AI, which began in the 2020s and primarily relies on the development of so-called transformer models. 🧠#ChatGPT: A specific example of Generative AI, based on the transformer architecture, trained to generate human-like text. ChatGPT can be used in various applications, from answering questions to creating creative content. The development of Artificial Intelligence is advancing rapidly, constantly bringing forth new innovations. We are excited about the endless possibilities that AI advancements will bring. Our commitment is to leverage these cutting-edge technologies to deliver the most innovative and effective AI solutions to Mercedes-Benz AG. Let us know below, which AI applications do you use most frequently? 👇 #techinnovators #GenAI   This image is AI generated.

Our hearts beat for tech and the brilliant minds behind it. ❤️ At Mercedes-Benz Tech Innovation, our passion for technology and innovation is extraordinary. This enthusiasm drives us to push new boundaries every day and shape the future of mobility. We are developing innovative solutions and setting new standards. But none of this would be possible without our dedicated and talented employees. Their brilliant ideas and tireless efforts are the key to every success. It is their creativity, commitment, and relentless pursuit of excellence that enable us to turn innovative concepts into reality. Together, we don't just envision the future – we engineer it. Thank you #techinnovators! #welovetech #valentinesday This image is AI generated.

We made it to the TOP 100! 🏆 We are very proud to announce that Mercedes-Benz Tech Innovation is among the TOP 100 most innovative medium-sized companies in Germany! Thanks to our innovative strength and the pioneering spirit our team, we now carry the precious TOP 100 seal. This award recognizes particularly innovative medium-sized companies. On June 27th, Ranga Yogeshwar will personally congratulate all the winners – a moment we are very much looking forward to! A heartfelt thank you especially to all our #techinnovators who tirelessly drive innovation for Mercedes-Benz AG every day. Your dedication, creativity, and relentless pursuit of excellence are the true engines behind our success. ♥️ #top100 #leadincarsoftware

„FOSS is not just a trend – it's a key enabler to overcome future challenges” This powerful message from Magnus Östberg marked the start of the opening speech by Markus Rettstatt at the OpenForum Europe. Markus Rettstatt, Head of Car Software at Mercedes-Benz Tech Innovation, spoke at the EU Open Source Policy Summit 2025 in Brussels and underscored the importance of FOSS in driving innovation and maintaining the EU's competitiveness during his speech. Markus pointed out, that our automotive industry is facing many global challenges: 🚧 Geopolitical tensions (e.g., restrictions on mapping data in China): Limited access to crucial technologies. 🔒 Market fragmentation & proprietary systems: Many companies remain hesitant to embrace Open Source due to IP concerns. ⚡ New software disruptors: Startups leveraging Open Source are challenging traditional automotive software models. 📉 Slow & complex funding structures: Europe risks falling behind if we don’t adapt to the fast pace of software innovation. But even more important is what we can do to overcome these challenges with FOSS: ✅ Standardization through Open Source to boost efficiency & security. ✅ A funding ecosystem that supports fast innovation & smaller players. ✅ Global collaboration: no restrictive regional policies to ensure Europe’s competitiveness. We are delighted that one of our own represented Mercedes-Benz on such an important stage. It fills us with pride to drive Mercedes-Benz forward in the realm of FOSS, contributing to the growth and expansion of the global FOSS community. Together, we are shaping a more innovative and collaborative future for the automotive industry. #techinnovators #opensource #FOSS #leadincarsoftware #mercedesbenz

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Welcome aboard, new #techinnovators! We wish you a fantastic start and a thriving journey with us! 🤗   #welcome #newjoiners   This image is AI generated.