India’s Tech Transformation: How Agentic AI is Redefining Industries
India’s technology sector is undergoing a rapid evolution, fueled by advancements in agentic and generative AI. Companies are leveraging NVIDIA AI Enterprise software and models like NVIDIA Nemotron to boost productivity and efficiency across diverse sectors, from customer support to healthcare, and telecommunications.
Wipro Revolutionizes Call Centers with AI-Powered Efficiency
Traditional call center models struggle to meet the demands of peak seasons and complex customer needs. Wipro is addressing this challenge with its WEGA platform, powered by NVIDIA AI Enterprise. Deployed for a major U.S. Healthcare insurance provider, the system is enabling service representatives to handle more complex requests and deliver personalized support. The results are significant: 42% of inbound calls are now handled by AI agents, with near-instant responsiveness across 900 concurrent calls and 164 requests per second, all with low latency.
Tech Mahindra and NVIDIA: Autonomous Networks Powered by AI
Tech Mahindra is collaborating with NVIDIA to create a platform for AI-assisted network operations. A large telco model (LTM) prioritizes fixes for field technicians based on historical success rates, leading to faster and more accurate resolutions. This approach is paving the way for level-4-plus operational maturity in the telecom industry, which generates over $1.5 trillion in annual revenue.
The Power of NVIDIA Nemotron in Telecom
The platform utilizes NVIDIA Nemotron embedding models for semantic search and a reranking model to improve decision relevance. These models are deployed with NVIDIA NIM microservices for accelerated AI inference, and NVIDIA NeMo Agent Toolkit orchestrates agent workflows across network domains.
Infosys Accelerates Software Development with AI Coding Models
Infosys has developed a small language model for coding, built using the NVIDIA NeMo framework within NVIDIA AI Enterprise, and integrated into Infosys Topaz Fabric. This 2.5-billion-parameter model accelerates software delivery, supporting agent development, code generation, and refactoring. It’s trained on a curated blend of code, synthetic data, and natural language, achieving performance comparable to larger models on key benchmarks.
Infosys has likewise prioritized safety, incorporating safety-aligned training and responsible AI practices to reduce harmful outputs and ensure secure coding capabilities.
Persistent Systems Advances Drug Discovery with AI and BioNeMo
Persistent Systems is partnering with NVIDIA to accelerate early-stage drug discovery. Their Generative Molecules and Virtual Screening (GenMoIVS) solution, built on the NVIDIA BioNeMo platform and NeMo Agent Toolkit, simulates molecular behavior with high accuracy, generating and evaluating candidate compounds before lab testing. This approach reduces risk and shortens development cycles.
The platform leverages NVIDIA’s accelerated computing platform, including NVIDIA AI Enterprise software and NIM microservices, enabling high-throughput simulation and real-time scientific decision-making.
The Projected Growth of India’s IT Sector
India’s tech industry is on a strong growth trajectory, projected to reach $500 billion in revenue by 2030, up from $250 billion in 2023. This momentum is driven, in part, by the adoption of AI technologies, supported by investments in GPU infrastructure – with 38,000 GPUs secured as of September.
Frequently Asked Questions
Q: What is agentic AI?
A: Agentic AI refers to AI systems that can act autonomously to achieve specific goals, often by breaking down complex tasks into smaller, manageable steps.
Q: What is NVIDIA AI Enterprise?
A: NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI software that accelerates data science pipelines and streamlines the development and deployment of AI applications.
Q: How are these AI advancements impacting jobs in India?
A: Whereas some routine tasks may be automated, these advancements are primarily creating recent opportunities for skilled professionals in AI development, data science, and related fields.
What are your thoughts on the future of AI in India? Share your comments below!
