AI ROADBLOCKS AND OPPORTUNITIES BEFORE INDIA'S $1T DIGITAL LEAP

India's $1 trillion digital economy is within reach, but only if enterprises can overcome the barriers to large-scale adoption of AI. IBM is betting big with its hybrid cloud-AI strategy, collaborations like BharatGen, and India-first innovations in language, culture, and ethics. Thus, shaping a locally grounded, globally scalable AI ecosystem.

- 

In an exclusive conversation, Dr. Amith Singhee, Director of IBM Research India and CTO for IBM India & South Asia, breaks down the challenges from data complexity to trust deficits. From empowering developers to embedding responsible AI in financial services, he outlines the roadmap for India to move from experimentation to transformative AI-driven growth.

Can BharatGen and IBM's Sovereign AI push redefine India's digital future?

BharatGen and IBM's collaboration represents a pivotal move toward scaling the impact of AI built for India's linguistic and cultural diversity. By combining our research and expertise in data preparation, model governance, and scalable solution architectures with BharatGen's sovereign multimodal AI and large language models, we aim to scale the application of India-centric AI models to serve the needs of native speakers of Indian languages. Together, they address two critical gaps: local relevance and trust. The focus is also on expanding the applications of these AI models across various sectors, including education, agriculture, banking, healthcare, and citizen services. This collaboration can redefine India's digital future by enabling locally grounded, globally scalable, and transparent AI.

What's blocking large-scale AI Adoption in enterprises? How is IBM solving it?

When it comes to scaling AI adoption, the top barriers that enterprises face include data and IT complexity, trust in AI systems, and deploying and governing AI use cases. At IBM, we are helping clients transform into AI-first enterprises by leveraging their trusted enterprise data and integrating AI into the fabric of their existing infrastructures, workflows, and processes.