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AI-Driven Multimodal Models Reshape Indian Businesses, Deloitte Report
AI-Driven Multimodal Models Reshape Indian Businesses, Deloitte Report
Contextual Overload

AI-Driven Multimodal Models Reshape Indian Businesses, Deloitte Report

The report emphasises the growing role of context-aware intelligence in reshaping industries.

Published Updated

Key takeaways

  • Adopt multimodal AI to enhance efficiency and personalized solutions across various sectors in India.
  • Leverage context-aware intelligence for innovative resource planning and adaptive decision-making.
  • Integrate advanced hardware innovations to support the growing demands of generative AI systems.
  • Utilize spatial computing to anticipate user needs and improve overall system responsiveness.
  • Transition from basic automation to technologies that interpret and act in real time for digital transformation.
5 min

Indian businesses are increasingly adopting small, multimodal models to meet demands for faster, more efficient, and targeted solutions, with AI leading the transformation across sectors, according to Deloitte’s latest Tech Trends – India Perspective 2025 report. 

The report emphasises the growing role of context-aware intelligence in reshaping industries. The report noted that by combining multimodal AI, spatial computing, and advanced analytics, systems are becoming increasingly adept at understanding environments, behaviours, and intent. 

This shift enables hyper-personalised experiences, more innovative resource planning, and adaptive decision-making across sectors like education, retail, urban planning, and agriculture.

"Indian enterprises are moving beyond automation to deploy technologies that interpret, adapt and act in real time, making digital transformation more fluid, inclusive and future-ready," Abhrajit Ray, partner and CIO program leader, Deloitte India, said.

Deloitte’s report also highlights that the rapid growth of generative AI (GenAI) has re-centered hardware in the technology conversation. 

What was once seen as a commoditised, slowly evolving domain is now undergoing rapid innovation to meet the complex demands of advanced AI systems. Specialised chips for applications such as power management, telecommunications, and cryptographic acceleration are becoming increasingly critical.

Moreover, the integration of heterogeneous computing — combining GPUs and NPUs on a single chip — is unlocking new levels of efficiency and performance across diverse AI workloads. 

In addition, spatial computing powered by AI is allowing systems to anticipate needs rather than react to them proactively. 

The report further notes that AI is reshaping the foundations of modern enterprise architecture. Traditional monolithic systems are being replaced with decoupled, composable structures that seamlessly integrate AI insights across business functions. 

Despite these advances, the transformation is not without its challenges. It demands complex architectural redesigns to ensure scalability, security, and long-term sustainability.

A warning is also sounded about the impending Year to Quantum (Y2Q) era, which could break traditional encryption standards. This makes the adoption of quantum-safe encryption and fortified cybersecurity measures critical for safeguarding India's digital future.

Finally, focusing on the IT sector, the report underlines AI's increasing role in enhancing tech talent. AI is now utilised for code generation, software testing, and automation, minimising manual effort and improving operational efficiency.

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