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AI-Driven Multimodal Models Reshape Indian Businesses, Deloitte Report | AIM
The report emphasises the growing role of context-aware intelligence in reshaping industries. 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
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Indian businesses betting big on Small Language Models (SLMs): Deloitte report
According to Deloitte's Tech Trends - India Perspective report, Indian businesses are increasingly adopting small, multimodal models to meet the demand for more efficient, faster and targeted solutions. The report also highlights that integrating SLMs, AI-based simulations and task-specific AI
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Deloitte's Tech Trends - India Perspective 2025 report highlights the transformative impact of AI on Indian businesses, emphasizing the adoption of small, multimodal models and the growing role of context-aware intelligence across various sectors.

Deloitte's latest Tech Trends - India Perspective 2025 report reveals a significant shift in the Indian business sector, with artificial intelligence (AI) emerging as a transformative force across industries. The report highlights the increasing adoption of small, multimodal models by Indian businesses to meet demands for faster, more efficient, and targeted solutions
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.A key trend identified in the report is the growing role of context-aware intelligence in reshaping industries. By combining multimodal AI, spatial computing, and advanced analytics, systems are becoming increasingly adept at understanding environments, behaviors, and intent. This shift is enabling hyper-personalized experiences, smarter resource planning, and adaptive decision-making across various sectors including education, retail, urban planning, and agriculture
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.The rapid growth of generative AI (GenAI) has reignited interest in hardware development. Once considered a slowly evolving domain, hardware is now undergoing rapid innovation to meet the complex demands of advanced AI systems. Specialized chips for applications such as power management, telecommunications, and cryptographic acceleration are becoming increasingly critical. 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
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.AI is reshaping the foundations of modern enterprise architecture, with traditional monolithic systems being replaced by decoupled, composable structures that seamlessly integrate AI insights across business functions. This transformation, while promising, comes with its own set of challenges, demanding complex architectural redesigns to ensure scalability, security, and long-term sustainability
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.The report also warns about the impending Year to Quantum (Y2Q) era, which could potentially break traditional encryption standards. This makes the adoption of quantum-safe encryption and fortified cybersecurity measures critical for safeguarding India's digital future
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In the IT sector, AI is playing an increasingly important role in enhancing tech talent. It is being utilized for code generation, software testing, and automation, minimizing manual effort and improving operational efficiency. This shift is encouraging businesses to move from traditional virtualization models to more scalable, cost-effective, AI-driven solutions
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.While the AI-driven transformation offers numerous benefits, it also presents challenges. India must enhance its infrastructure, particularly in high-performance computing and sustainable energy solutions, to accelerate growth. Additionally, there is a need to empower the workforce through skill development and build ethical AI frameworks to ensure responsible AI adoption
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