TCS Launches Nvidia Business Unit to Propel AI Adoption Across Industries

New TCS Business Unit Focuses on Nvidia-Powered AI Solutions for Manufacturing, Telecom, Finance, and More.

Highlights

  • Solutions utilise Nvidia’s AI Enterprise and Omniverse platforms to streamline operations and enhance decision-making.
  • The partnership enables customised AI strategies for clients, leveraging TCS’s expertise and Nvidia's technology.
  • TCS’s AI-native telco offerings support autonomous network management, customer experience optimisation, and 3D network visualisation.

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TCS Launches Nvidia Business Unit to Propel AI Adoption Across Industries
Tata Consultancy Services (TCS) has expanded its collaboration with Nvidia to launch industry-specific solutions and offerings that will accelerate artificial intelligence (AI) adoption for customers at scale. These solutions and offerings will be delivered through TCS's new business unit focused on Nvidia, under its AI.Cloud division.

Also Read: Accenture Study Reveals AI-Driven Companies Outpace Competitors




TCS and Nvidia Bring AI Solutions to Market

TCS states that this new business unit builds on a collaboration with Nvidia of over five years, combining the complementary capabilities of both organisations to offer tailored solutions across various industries.

According to the company, the new unit will design and deliver customised AI adoption strategies by leveraging global Centers of Excellence (CoEs), investments in Nvidia's AI platform—including accelerated computing, AI software, AI Enterprise, and Omniverse platforms—and highly skilled resources.

Additionally, the unit provides TCS’s proprietary framework, which integrates its domain expertise, contextual enterprise knowledge, and Nvidia AI technology to build and deploy Agentic AI solutions, including Nvidia NIM microservices and NIM Agent Blueprints, part of the Nvidia AI Enterprise software platform and Nvidia AI Foundry.

Also Read: Microsoft Announces New AI Models and Solutions for Healthcare

Tailored Industry Solutions Powered by Nvidia AI

TCS and Nvidia have also collaborated to develop value chain-centric solutions for various industry verticals on the Nvidia AI platform:

  • For manufacturing, the TCS Manufacturing AI solution utilises large language models (LLMs) for data insights tailored to industry needs.
  • For financial services, TCS AI Spectrum for BFSI enhances compliance, decision-making, and risk management.
  • In retail warehousing, TCS Cognitive Visual Receiving automates quality checks.
  • Telecom firms benefit from TCS's AI-native Telco Solutions for network and customer management.
  • For automotive, TCS has introduced an Autonomous Vehicle Platform to accelerate the development of end-to-end autonomous capabilities for OEMs and Tier 1 suppliers.

TCS AI-Native Telco Offerings

According to TCS, its offerings built on Nvidia AI and Nvidia Aerial Omniverse Digital Twin enable telecom companies to rapidly create custom telco domain-specific models, meeting business needs such as autonomous network anomaly management, billing and revenue assurance, 3D network visualisation, and customer experience optimisation.

Also Read: Everyone in India Can Ask AI Assistants Questions About Health Issues, Says Meta Official: Report

AI-Enabled Digital Twin Capabilities for Heavy Industries

TCS said it is also developing a suite of digital twin solutions on the Nvidia Omniverse development platform, enabling clients to design, simulate, operate, and optimise products and production facilities in heavy industries.

TCS and Nvidia's five-year collaboration now extends beyond traditional AI, encompassing digital twin solutions for predictive maintenance in manufacturing, autonomous vehicle simulation, aerospace efficiency, and even smart farming. These digital twin capabilities, powered by Omniverse, are designed to simulate real-world scenarios and physics, improving productivity, safety, and sustainability.

Jay Puri, Executive Vice President of Worldwide Field Operations at 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 optimize 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. TCS is committed to providing manufacturing enterprises with the transformative AI solutions they need to make them future-ready and lead the charge toward a smarter, more sustainable future."

John Fanelli, Vice President of Enterprise Software at 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."

Also Read: Ericsson Enhances Focus on AI, Gen AI and Network APIs at India R&D Centers

What is Agentic AI?

Agentic AI systems differ from traditional AI in that they can independently analyse complex problems, develop strategies, and execute tasks without constant human input and guidance. These systems are designed to achieve specific objectives and adapt their strategies to changing circumstances autonomously.

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