New Delhi, Nov. 8 -- As enterprises increase investments in artificial intelligence, translating AI experimentation into measurable business outcomes remains a significant challenge. While organisations continue to deploy AI tools and run pilots, many struggle to integrate the technology into core business processes, modernise legacy infrastructure and establish clear accountability. The shift towards AI-native operations also raises questions about engineering productivity, workforce readiness and governance, particularly as enterprises explore autonomous AI agents.

In this interaction, Pankaj Vyas, MD & CEO, Siemens Technology and Services, discusses why AI initiatives struggle to move beyond experimentation, how organisations can rede...