Accenture, a leading IT services and Management Consulting organisation, has partnered Centre of Excellence in Advanced Automotive Research (CAAR), a research society established by the Indian Institute of Technology Madras (IIT Madras), to offer specialised skilling programs through Accenture’s LearnVantage Software-Defined Vehicle (SDV) Academy.

Targetted towards automotive Original Equipment Manufacturers (OEMs) and Global Capability Centers (GCCs) the initiative aims to develop talent pool to build software-defined vehicles. The program aims to meet the growing demand for skilled professionals in the SDV domain by bridging the gap between traditional automotive roles and the digital skills needed to develop automated driving technology, advanced driver assistance systems (ADAS), electrical/electronic architecture, connectivity and infotainment systems.

The curriculum covers advanced Internet of Things (IoT), embedded systems and software, vehicle safety, communication protocols, cybersecurity, edge computing, cloud virtualisation and industry standards like AUTomotive Open System Architecture (AUTOSAR) and Automotive Software Process Improvement Capability Determination (ASPICE).    

Kishore Durg, Global Lead, Accenture LearnVantage, said, “As vehicles transform into sophisticated software-defined machines, the automotive industry requires digital-native talent skilled in AI, machine learning, cybersecurity, and safety systems. Our collaboration with CAAR at IIT Madras is a game-changer, focused on transforming talent at scale for OEMs and GCCs in the sector. Together, we are committed to rapidly upskilling and reskilling talent to embrace technological advancements and develop the interdisciplinary skills needed for the SDV landscape.” 

Prof. Krishnan Balasubramanian, Prof. in Charge of Center for Advanced Automotive Research (CAAR), IIT Madras, said, “The academia-industry partnership, enabled by the Center of Excellence CAAR is a unique model that creates a win-win for all parties and enables upskilling of the next generation workforce in new areas such as SDVs. We are delighted to be partnering with Accenture’s LearnVantage.”

Thiruppathy Srinivasan, CEO, CAAR, IIT Madras, said, “The automotive industry is rapidly evolving with the adoption of electrification, connectivity, and advanced smart technologies. The high-growth software-defined vehicle space demands both new digital skills and a larger pool of skilled professionals, making upskilling a top priority. Our collaboration with Accenture LearnVantage offers a synergistic platform to bridge the talent gap by equipping professionals with the competencies needed to thrive and meet the industry’s evolving needs.”  

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Bosch and Qualcomm Technologies, Inc. have announced an expansion of their strategic collaboration to include Advanced Driver Assistance Systems (ADAS). This move builds upon their established partnership in cockpit solutions and aims to address the automotive industry's requirement for scalable technology in automated and connected vehicles.

Bosch stated it has now delivered more than 10 million vehicle computers globally using Qualcomm’s Snapdragon Cockpit Platforms.

The extended agreement includes new production programmes for ADAS that utilise Bosch’s vehicle computer architecture powered by the Snapdragon Ride platform. A central component of this collaboration is the development of platforms that combine cockpit and ADAS functions on a single system-on-chip (SoC).

This integration is designed to align with the strategic shift towards software-defined vehicles, allowing automakers to reduce architectural complexity, power consumption, and manufacturing costs.

The Bosch ADAS integration platform is designed as a modular computer capable of fusing data from multiple sensors to create a 360-degree environment model. This system supports a range of functions from entry-level assistance, such as lane keeping and distance regulation, to higher-level automated driving. The joint engineering efforts have already secured several design wins in the East Asian market, with the first vehicles featuring these consolidated platforms expected to enter the market in 2028.

By migrating from numerous individual control units to a small number of high-performance computers, the partnership provides a path toward centralised vehicle architectures.

These solutions are engineered to meet safety standards up to ASIL-D while enabling consumer features such as hands-free driving and intelligent automated parking across various vehicle segments.

Christoph Hartung, Member of the Bosch Mobility business sector board, said, “By combining leading-edge compute technology with our system integration expertise – hardware, software, and safety – we enable automakers to meet the rising demand for personalised, safe and comfortable driving experiences. The growing success of our collaboration with Qualcomm Technologies underlines a central value Bosch brings to the industry: we provide the robust, high-performance computing platforms that form the backbone of today’s software-defined vehicle.”

Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, said, “Our collaboration with Bosch spans the full spectrum of vehicle compute – from high‑performance cockpit systems to scalable automated driving solutions and emerging centralised vehicle architectures – all powered by Snapdragon Digital Chassis automotive platforms. ADAS is where performance and safety must scale in the real world. By expanding our work with Bosch into production-ready ADAS platforms, we’re helping automakers bring advanced driver assistance across vehicle lines more efficiently, with a clear path to centralised compute.”

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Toyota Kirloskar Motor (TKM) has signed a Memorandum of Understanding (MoU) with Wipro 3D to create a Centre of Excellence (CoE) for additive manufacturing. The facility will be located at the Toyota Technical Training Institute (TTTI) in Bidadi, Bengaluru. The partnership is intended to facilitate skill development and the integration of 3D printing technologies into production environments.

The centre will provide students with exposure to industrial applications of additive manufacturing, including rapid prototyping and the development of production aids. Wipro 3D will provide technical expertise and training modules covering internships, apprenticeships and workshops. The curriculum will also incorporate digital manufacturing and resource optimisation as part of an emphasis on Industry 4.0 technologies.

By leveraging these manufacturing capabilities, the initiative aims to reduce lead times and improve assembly line efficiency. The TTTI, which focuses on vocational education in trades such as mechatronics and welding, doubled its intake to 2,400 students in 2023. This collaboration aligns with the institution's objective to build technical talent for the automotive sector.

G Shankara, Chief Strategy Officer, Toyota Kirloskar Motor, said, "Our Human Resource Development philosophy at TKM follows core principles of Toyota such as, Continue the Quest for Improvement, Show Respect for People, under which we thrive hard to develop individuals in the Latest Technology of the New Age Era of automotive field. We are also committed to nurturing skilled talent and strengthening India’s manufacturing ecosystem. This collaboration will play an imperative role in nurturing future-ready talent, while contributing meaningfully to the Government’s Skill India Mission.”

Yathiraj Kasal, Business Head and General Manager, Wipro 3D, added, “This association reflects our commitment to strengthening India’s manufacturing ecosystem through capability building and innovation, while creating industry-relevant learning experiences.”

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TomTom has introduced Unified Speed Restrictions, a new service providing updated speed limit data for global regulatory compliance and Advanced Driver Assistance Systems (ADAS). The service is designed to help vehicle manufacturers exceed the minimum requirements of Intelligent Speed Assistance (ISA) regulations.

The service integrates multiple static and live data sources into a single output. By combining various inputs, the system provides continuous updates to vehicle software to ensure speed limit identification remains accurate across different driving environments.

Data sources utilised include:

• Unsigned speed limits: Based on regional road classifications.
• Roadside sign recognition: Camera-based detection of physical signs.
• Probe data: Aggregated information from connected vehicles.
• Variable speed limits: Real-time data from electronic overhead gantries.

Beyond safety compliance, the service supports automated driving functions by providing data for predictive path planning and smoother vehicle manoeuvres.

The solution is available as an API or pre-integrated within the TomTom ADAS SDK. The SDK is modular, allowing manufacturers and Tier 1 suppliers to incorporate the data into existing software stacks without vendor lock-in. This architecture is intended to reduce development costs and accelerate the deployment of predictive assistance features.

Manuela Locarno Ajayi, SVP of Product Engineering, TomTom, said, “Accurate and trusted speed information is foundational to road safety, regulatory compliance and automated driving at scale. With Unified Speed Restrictions, we are equipping automakers with a globally consistent, future‑ready foundation that reduces complexity, enabling higher levels of automation.”

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Detroit Engineered Products (DEP) has introduced DEP AIWorks, an engineering platform designed to integrate machine learning with physics-based simulation. The launch follows the conclusion of a five-city industry conclave held across Bengaluru, Delhi NCR, Hyderabad, Pune and Chennai.

DEP AIWorks is built as a physics-agnostic and tool-agnostic environment, allowing it to function across various datasets and engineering domains. The platform combines neural networks and physics-informed models with computer-aided engineering (CAE) solvers to provide predictive and generative capabilities within the product development lifecycle.

Core features of the platform include modular architecture, operational speed and ecosystem compatibility.

The platform is intended for use in the automotive, aerospace, energy, manufacturing and telecommunications sectors. It supports various stages of development, from early design exploration to manufacturing validation. By utilising data-driven learning alongside physics-based validation, the system aims to improve engineering productivity and accelerate decision-making cycles.

Radha Krishnan, President & Founder, DEP, said, “DEP AIWorks reflects the next step in how engineering organisations will adopt AI, not as a standalone tool, but as an integrated part of the product development lifecycle. By combining decades of simulation expertise with advances in AI, we are enabling teams to move faster while maintaining engineering rigor and reliability.”

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