Lack of skills, data complexity hindering AI adoption in India

As Indian enterprises increasingly adopt artificial intelligence (AI), significant barriers such as a lack of expertise, insufficient tools, and data complexity remain.

- SANDIP PATEL, MANAGING DIRECTOR, IBM INDIA & SOUTH ASIA

IBM India & South Asia managing director Sandip Patel talks to Jatin Grover about how small AI models are driving cost efficiency, IBM's role in chip design, and evolution of AI adoption in India. Excerpts:

Where all is IBM focusing on in India to drive revenue growth?

IBM is dedicated to helping organizations leverage data and AI for scaling operations, boosting growth, and enhancing competitiveness. Our enterprise-ready AI and data platform, watsonx, integrates seamlessly with Red Hat OpenShift, IBM Infrastructure platforms, and IBM Consulting services to support digital transformation. By delivering integrated hybrid cloud solutions, we are empowering businesses to stay ahead in a competitive market.

IBM's consulting business is facing global challenges as enterprises cut spends. How is it different in India?

Contrary to global trends, our consulting business in India continues to grow, thanks to our deep industry, technological, and domain expertise. Indian businesses are actively seeking robust tech solutions, skilled resources, and guidance to execute their digital strategies successfully. IBM's consulting team is well-positioned to meet these needs by delivering tailored solutions.

Compute costs for training AI models are high. How can companies reduce these expenses when building large language models (LLMs)?