🚗 ntvNachrichten reports (https://lnkd.in/dE6-T_9F): 👉 Major Shift in the Auto Industry and Bosch Announces Over 1000 Job Cuts Amidst Automated Driving Development Delays In a recent and significant industry update, Bosch has announced the elimination of more than 1000 positions, citing prolonged development in automated driving as the primary reason. Industry expert Stefan Bratzel, Prof. Dr. attributes this setback to a substantial data gap, marking a crucial moment in the evolution of this technology. The anticipated pivotal year for a turnaround? 2030. 🛠️ Bosch's Response: Addressing the Data Challenge Facing these challenges, Bosch is not only reducing roles in its #powertrain division but is also set to cut approximately 1200 jobs in the software sector. Automated driving continues to be a key innovation for the German automotive industry, essential for maintaining competitive edge. However, the journey is proving to be more arduous than initially expected. 🔍 Predictores' Role: Bridging the Data Divide with Predictive Intelligence (PI) At Predictores, we recognize the crucial role of data in accelerating and refining the development of automated driving technologies. Our expertise in Predictive Intelligence (PI) places us at the forefront of this transformative period. ✨ Our Mission: Filling the Data Gaps - Advanced Analytics: Leveraging advanced analytics, we are filling the data gaps that currently hinder the progress in automated driving. - Collaborative Approach: Working closely with industry partners, we're ensuring that our solutions are not only cutting-edge but also practically applicable in real-world scenarios. - Innovation and Adaptation: Our team is continuously innovating and adapting our PI stacks and AI technologies to meet the ever-evolving demands of the automotive sector. 🤝 Looking Ahead: A Collaborative Future The path to fully automated driving is complex, but it's a journey we are committed to. We extend our support this challenge and others in the industry facing similar challenges. Predictores CTO Dr.-Ing. Christoph Legat argues: „Let's collaborate to turn these challenges into opportunities and expedite the arrival of a safer, more efficient automated driving future. AI must be thought correctly - as an advanced calculator and PI as the GPS and roadmap!“ \#AutomotiveInnovation #PredictiveIntelligence #DataSolutions #Bosch #AutomatedDriving #FutureOfMobility #Predictores
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Check out how software innovation is shaping the future of automotive. In this article from heise, Jan Becker, CEO of #Apex.AI, highlights the dilemma faced by traditional automakers and the need for a shift towards Software Defined Vehicles (#SDV). With Apex.AI's development platform, automakers can accelerate idea implementation while ensuring #safety. The future is #software-driven, enabling faster development cycles and regular updates. https://hubs.ly/Q02mq8LR0 #FunctionalSafety #Mobility #SDV #ROS #SoftwareDefinedVehicle #AutomotiveIndustry #EmbeddedSoftware #AutonomousDriving
Bit schlägt Blech
heise.de
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How is #automation reshaping logistics? Alexander Bodensohn, Business Development Director at Aurora Labs, outlines the strides in truck automation—now at level three—enhancing #safety and efficiency across the sector. With advanced driver-assistance systems and #AI-driven predictive maintenance, the future of logistics is here. Explore the full insights in the article (german) https://lnkd.in/drvf_Sqm
Nutzfahrzeuge – wichtige Treiber für Innovationen
next-mobility.de
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Read our technical article about Holistic Testfleet Management in Real Time. It was published in german language by Automobil Elektronik (Hüthig GmbH). What is it about: In the world of test drives, data-based further development and validation processes for autonomous driving functions and driver assistance systems, efficiency and performance are at the heart of project managers' concerns. In order to successfully achieve these goals, careful coordination of optimal tooling, a structured management approach and dedicated data packages that harmonize seamlessly with each other are required. The teams involved in these projects around the test fleet then manage and process the test data with a different focus, but with a common goal: to drive the mobility of the future by bringing new features safely to market. #bplus #connectivity #datamanagement #testfleet #futuremobility #adas #data #testdrives #technicalarticle
Fachbeitrag: Ganzheitliches Flottenmanagement in Echtzeit
b-plus.com
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A quote from automotiveIT-article, which describes one of the challenges that are faced by a lot of companies, independent of industry! "BMW cannot start on a greenfield site when it comes to digitalization. We have a historically evolved IT system with many data silos that we are in the process of breaking down," says Walter Mertl CFO at BMW. The challenge is #DataSilos. BMW Group is gearing up for a digital transformation drive, led by Walter Mertl and CIO Alexander Buresch. With a significant investment in IT and the establishment of a new board committee, they're accelerating BMW's digital journey. Are other industry leaders ready to hit the gas on their own digital transformations? 🚀 Revolutionizing Data Integration and Breaking Data Silos! Don't get left behind - Discover our advanced data platform powered by #Interoperability, #Analytics and #AI today #InterSystems #DigitalTransformation #DataIntegration #BreakingDataSilos
Neues Vorstandsgremium: BMW macht Digitalisierung zur Chefsache
automotiveit.eu
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Curious about the future of automotive tech? Dive into the latest guide by Automobilwoche, delving deep into the Software-Defined Vehicles (SDVs) topic. Discover what it means for cars to be driven by software, from enhancing safety with digital assistance systems to transforming the driving experience with infotainment and connectivity features. With insights on industry shifts towards electric powertrains and autonomous driving, this guide is your roadmap to the automotive future. 🚗💡 As the automotive industry increasingly shifts its focus to software-defined solutions, Intel Automotive recognizes the importance of this transition to keep pace with changing consumer demands and expectations. The shift to software-defined vehicles improves vehicle performance and functionality and creates new business opportunities and revenue streams for automotive manufacturers. Intel's technologies and solutions are helping to drive this change and help shape the future of mobility. Read the complete guide at Automobilwoche: https://lnkd.in/eG7wtRud #Mobility #IntelAutomotive #IAmIntel
Was Sie zum Thema Software Defined Vehicle wissen müssen
automobilwoche.de
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𝐍𝐞𝐰 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐚𝐭 𝐂𝐄𝐒 2024 𝐁𝐨𝐬𝐜𝐡 𝐒𝐞𝐩𝐚𝐫𝐚𝐭𝐞𝐬 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐚𝐧𝐝 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 While today numerous control units in cars typically manage different functions, tomorrow, a few central vehicle computers will integrate multiple system functions from previously separate domains. This requires new computers. The article describes the trend towards software-defined mobility and centralized vehicle and E/E architecture. In the future, a few central vehicle computers are expected to combine several functions. Bosch positioned itself as an innovation leader and demonstrated the fusion of infotainment and driver assistance functions at 𝐂𝐄𝐒® 2024 𝐢𝐧 𝐋𝐚𝐬 𝐕𝐞𝐠𝐚𝐬, 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 2024. This step aims to reduce the complexity of electronic systems in cars while maximizing safety. In the medium term, Bosch aims to bring automated driving functions to smaller vehicle segments. #ADAS #AutomatisierteMobilität #Infotainment #SoC #Fahrzeugcomputer #autonomous #Infotainment #Fahrzeugcomputer #automateddriving #futuremobility #Innovation
CES-Weltpremiere: Bosch vereint Infotainment- und Fahrerassistenzfunktionen auf einem Chip
bosch-presse.de
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The Road to Software-Defined Cars: Challenges and Opportunities The transition towards software-defined vehicles (SDVs) is proving to be a formidable challenge for established car manufacturers, necessitating a significant shift in development approaches, supply chain management, and corporate culture. This transformation is driven by the potential for software to significantly lower development costs, enhance customer loyalty, and boost sales, with digital services projected to generate substantial revenue growth for the automotive industry by 2040. Despite the allure of transforming cars into "smartphones on wheels," the journey is fraught with technical and operational hurdles. Notable setbacks have occurred in the industry, including delays in the launch of new electric vehicles due to software issues. The complexity of creating a true SDV involves developing a centralised computing system that can manage a myriad of onboard functions and seamlessly integrate with cloud-based services, a departure from the traditional hardware-focused model. The ambition to shift towards software-centric vehicles is also reshaping the dynamics between manufacturers and suppliers, leading to new collaborations but also challenges in managing these relationships. The industry is exploring standardisation efforts and the adoption of common platforms to facilitate development and reduce costs. However, the path forward involves navigating through a steep learning curve, investing in new technologies, and undergoing a cultural transformation within organizations. As the automotive industry races to develop SDVs, it faces competition from new entrants unburdened by legacy processes and cultures. These newcomers are rapidly advancing in the software domain, posing a significant threat to traditional automakers. The industry's success in this transition will depend on its ability to innovate, adapt, and collaborate in a rapidly evolving technological landscape. https://lnkd.in/d7riGTMg
Warum der Weg zum SDV so "schmerzhaft" ist
automobilwoche.de
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Presenter and Producer at The Motoring Podcast. UK Car of the Year Judge. Member of the Northern Group of Motoring Writers
A lot of sense is written here.
Does the end of Apple’s ambitions to build cars mark a paradigm shift for the automotive industry? Talking to Handelsblatt, I argue that the disruptive potential had always been overestimated. Here is why. To disrupt the automotive industry and its established business model – which is producing and selling cars – all tech players placed their bets on autonomous driving. The logic was intriguing: Autonomous driving, which requires both large amounts of data and computing power, would be the core area where tech companies had an unmatchable competitive edge. However, the end of Apple’s car project, the Cruise ban in San Francisco, the Tesla autopilot lawsuits – to name just a few examples – all have a common denominator: tech’s overconfidence in cracking the "real world AI" problem and bringing fully autonomous vehicles onto the road. While the developments in deep learning should not be disregarded, it takes a "General AI", or more precisely: human-level AI, to reach Level 5 autonomy. And this is no were close, despite a couple of wrong alarms regarding ChatGPT. Even worse: there is no known principle to get us there. And the hope to solve it by "more of the same" (aka "scaling-up") turned out to be just that: hope. So, is this the end of tech’s automotive ambitions? The answer is: no. They have given up on building cars, but their expertise in data and artificial intelligence means that they will continue to be innovation drivers in the automotive industry. Meanwhile, carmakers have shown that their business model is intact and not on the brink of disruption as most people thought. The article in Handelsblatt is in German only and behind a paywall. Looking forward to a vivid discussion in the comments section! #applecar #autonomousdriving LINK:
Apple-Car-Aus: „Nahezu alle Untergangsszenarien zu deutschen Autobauern sind falsch“
handelsblatt.com
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Does the end of Apple’s ambitions to build cars mark a paradigm shift for the automotive industry? Talking to Handelsblatt, I argue that the disruptive potential had always been overestimated. Here is why. To disrupt the automotive industry and its established business model – which is producing and selling cars – all tech players placed their bets on autonomous driving. The logic was intriguing: Autonomous driving, which requires both large amounts of data and computing power, would be the core area where tech companies had an unmatchable competitive edge. However, the end of Apple’s car project, the Cruise ban in San Francisco, the Tesla autopilot lawsuits – to name just a few examples – all have a common denominator: tech’s overconfidence in cracking the "real world AI" problem and bringing fully autonomous vehicles onto the road. While the developments in deep learning should not be disregarded, it takes a "General AI", or more precisely: human-level AI, to reach Level 5 autonomy. And this is no were close, despite a couple of wrong alarms regarding ChatGPT. Even worse: there is no known principle to get us there. And the hope to solve it by "more of the same" (aka "scaling-up") turned out to be just that: hope. So, is this the end of tech’s automotive ambitions? The answer is: no. They have given up on building cars, but their expertise in data and artificial intelligence means that they will continue to be innovation drivers in the automotive industry. Meanwhile, carmakers have shown that their business model is intact and not on the brink of disruption as most people thought. The article in Handelsblatt is in German only and behind a paywall. Looking forward to a vivid discussion in the comments section! #applecar #autonomousdriving LINK:
Apple-Car-Aus: „Nahezu alle Untergangsszenarien zu deutschen Autobauern sind falsch“
handelsblatt.com
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New articulated arm robots, AI software and teaching unit: The new Melfa robot arms from Mitsubishi Electric offer more load capacity and higher ranges. With the Melfa RV-12CRL, for example, the company has launched a vertical articulated arm robot on the market, which has a range of 1,504mm and a load capacity of 12kg. The RT-ToolBox 3 is an intuitive software for online and offline programming with simulation. It enables simple programming, flexible customisation and seamless communication with other systems. The integrated AI support improves movement sequences and increases efficiency. For example, it can integrate 3D system data to enable precise movements and collision avoidance. In addition, gripper models can be included in the simulation. The R86TB teaching box allows the use of the RT toolbox3 functions directly on the robot. With the 3D simulation software Melsoft-Gemini, processes can be built directly in a 3D simulation environment. This enables advance control and improvement in the simulation without real components. The result can be integrated directly into the software and movement sequences. #mitsubishielectricireland #robotics #automation
Yay, our latest release has made it to the 1st article in the "Robotics and Production" newsletter 🎇 well done and thanks a lot! https://lnkd.in/dXzi_ZQm
Neue Knickarmroboter, KI-Software und Teaching-Einheit
https://robotik-produktion.de
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