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Strategic Applied AI Research – Top 20 Challenges for India’s Innovation Ecosystem

March 13, 2025 40 1 Digital Transformation Data Science & AI Community Emerging Tech AI

Strategic Applied AI Research – Top 20 Challenges for India’s Innovation Ecosystem

The rapid evolution of AI presents both opportunities and challenges, requiring research efforts that connect academic advancements with real-world applications. Nasscom’s report, titled “Strategic Applied AI Research – Top 20 Challenges for India’s Innovation Ecosystem,” identifies 20 high impact applied AI research topics that address pressing industry needs, technological gaps, and future AI development pathways. The objective of this report is to bridge the divide between academic AI research and its practical implementation in real-world applications, achieved through enhanced collaboration among startups, academia, industry stakeholders, and policymakers.

Key highlights from the study:

 

The study provides:

  • A brief overview of the latest developments in the field of AI research
  • Industry perspectives on AI research priorities keeping in view evolving tech landscape and practical applications of AI
  • Potential collaboration opportunities across the ecosystem
  • Perspectives on reshaping AI strategies and investment approaches for meaningful impact

 

To this end, this report delineates AI research topics using a standardized framework, comprising:

  • Brief Explanation: This component furnishes a succinct exposition of the AI challenge or focal area, articulating its significance and relevance within the field.
  • What has been done: This section encapsulates the current state-of-the-art in research and development pertaining to the topic, highlighting prevalent methodologies, models, and advancements.
  • Proposition: This outlines Nasscom's proposed trajectory for future research and development, delineating the organization's strategic perspective on addressing the challenge or advancing the discipline.

The report delivers insights into emerging AI research, industry-validated priorities, innovative AI methodologies, and collaboration opportunities, with a focus on key areas such as AI for security and trust, multimodal & context-aware AI, advancing AI architectures & efficiency, AI for speech & vision, and responsible AI & bias mitigation.

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