Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, has expanded its collaboration with Nvidia to launch industry-specific solutions and offerings that will help customers adopt Artificial Intelligence (AI) faster and at scale. These solutions will be offered through TCS’ new business unit focused on Nvidia, under its AI Cloud business unit.

It builds on a collaboration with Nvidia for over five years, brings together the complementary capabilities of both organisations and will offer tailored offerings for various industries.

According to a recent TS AI for Business Study, enterprises worldwide are racing to adopt AI but there is no consensus on an AI adoption strategy. The journey for every enterprise is unique and involves an interplay of AI and existing enterprise capabilities.

The partners believe that AI adoption at scale requires an intimate understanding of the enterprise and its practices and building AI models that are customised for the context. The new unit will design and deliver curated AI adoption strategies by leveraging global centres of excellence (CoEs), investments in the Nvidia AI platform - including accelerated computing and AI software, and the Nvidia AI Enterprise and Nvidia Omniverse platforms - and skilled resources

The new unit also offers TCS’ proprietary framework, which brings together its deep domain expertise, enterprise contextual knowledge and Nvidia AI technology for building and deploying agentic AI solutions  - including nvidia NIM microservices and Nvidia NIM Agent Blueprints, which are part of the nvidia AI Enterprise software platform and Nvidia AI Foundry – to deliver value at scale to customers.

The partners aim to build innovative, value chain-centric solutions and offerings for industry verticals on the Nvidia AI platform including:

TCS Manufacturing AI for Industrials; TCS AI Spectrum for BFSI; TCS Cognitive Visual Receiving; AI-Native Telco Offerings and TCS AI-based Autonomous Vehicle Platform.

The autonomous vehicle platform will see TCS’ IoT and Digital Engineering unit work with Nvidia to leverage generative AI and deep learning technologies, such as Omniverse for simulation and Nvidia AI Enterprise for synthetic data generation, to accelerate the development of end-to-end autonomous features and capabilities for automotive OEMs and tier 1 suppliers.

Jay Puri, Executive Vice-President of Worldwide Field Operations, Nvidia said, “The fusion of TCS’ deep industry expertise with Nvidia AI technology is set to introduce a new era of intelligent enterprise transformation. TCS’ new Nvidia business unit is poised to accelerate AI and simulation with Nvidia AI Enterprise for building agentic AI solutions and Nvidia Omniverse for building physical AI solutions, paving the way for AI-driven innovation across India and the world.”

Siva Ganesan, Head, AI Cloud Unit, TCS said, “Curated AI journeys are derived at the intersection of deep-domain and deep-tech. This is a space that TCS has excelled at during every business transformation cycle. Our unique vantage point, at the intersection of business and technology, helps us identify the right opportunities for our customers. With the innovative and efficient Nvidia AI platform, and our wide scale and proven track record in delivering value, our customers now have a means to faster value realisation.”

Anupam Singhal, President – Manufacturing, TCS said, "Manufacturers can now achieve unprecedented accuracy and access the tacit knowledge to optimise their operations, improve decision-making, and drive impactful innovation. This is possible with TCS' Manufacturing AI for Industrials offering, which leverages Nvidia technology to harness the power of LLMs (large language models) and is fine-tuned with TCS' deep manufacturing industry expertise.”

The collaboration with Nvidia is part of TCS' broader efforts to strengthen its AI-readiness and build end-to-end capabilities powered by Nvidia technology to foster enterprise-wide AI transformation for its key customers. 

John Fanelli, Vice-President, Enterprise Software, Nvidia said, “Factories, warehouses and robotics are the next grounds for physical AI innovation at scale. Combining cutting edge AI and simulation capabilities can unlock unprecedented potential for intelligent manufacturing operations for TCS clients.”

To help manufacturers embrace the next wave of digital manufacturing, TCS is also working on a new suite of digital twin solutions built on the Nvidia Omniverse development platform, enabling clients to design, simulate, operate, and optimize products and production facilities across heavy industries:

Factory of the Future: Real-time factory planning, monitoring, and predictive maintenance in a virtual environment, reducing downtime and speeding up time to market.

In-Car Digital Twin: Autonomous vehicle simulation using Omniverse’s physics-based simulations, reducing the need for physical testing.

Aero Care Efficiency: Digital twin creation for aircraft components, enabling immersive training, enhanced problem-solving and the early detection of failures, helping improve safety and reduce operational risks.

Smart Farming Digital Twin: Farming scenario simulations with real-world physics, including soil interactions, terrain analysis, and weather conditions to improve equipment performance, process optimisation and sustainability in modern agriculture.

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Ola Electric has introduced the S1 X+ 5.2 kWh electric scooter, featuring the company’s indigenously developed 4680 Bharat Cell. The company claims that the launch marks the first time this cell technology has been integrated into a mass-market product. The e-scooter is available at an introductory price of INR 129,999 until 15 April.

The S1 X+ 5.2 kWh utilises an 11 kW mid-drive motor and an integrated motor control unit, providing a claimed top speed of 125 kmph and an IDC range of 320 km. It features a brake-by-wire system and front disc brakes. The use of the Bharat Cell reflects the company's strategy of vertical integration, which encompasses cell development, battery pack engineering and vehicle manufacturing.

Currently, Ola Electric’s portfolio includes the Gen 3 S1 scooter series and the Roadster motorcycle range. The S1 Gen 3 line-up consists of the S1 Pro+ and S1 Pro in various battery configurations, while the mass-market segment includes the S1 X+ and S1 X variants. The Roadster series is offered in X+ and X configurations with battery capacities ranging from 2.5 kWh to 9.1 kWh.

“With S1 X+ 5.2 kWh, we are taking our 4680 Bharat Cell to the mass market at scale. The same technology platform we built for our most advanced products is now powering a scooter designed for much wider EV adoption. This is exactly what vertical integration enables - the ability to innovate deeply, scale quickly, and bring our best technology to more and more customers, faster. S1 X+ 5.2 kWh is where performance, range and scale come together, and is another important step towards making EVs accessible to every Indian,” the company said in a statement.

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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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