Trust and governance are essential for responsible AI adoption

NARESH GURU,
GM - IT SERVICE DELIVERY, 
IBM

Enterprise-scale AI adoption should begin with a structured pilot phase that helps organisations understand both the capabilities and limitations of AI. Training employees is an important first step, alongside preparing AI models and establishing clear governance around how information is processed and used. As organisations move from pilot projects to production environments, transparency with customers becomes equally important. Clear contractual agreements, appropriate data handling practices and well-defined data retention policies help customers understand how their information will be used and managed. Such an approach enables organisations to scale AI responsibly while building trust and confidence across the enterprise.

AI and quantum computing are among the emerging technologies that have the potential to reshape enterprise innovation over the coming years. While AI continues to evolve rapidly, organisations should adopt it with a balanced perspective and realistic expectations. The combination of AI and quantum computing could unlock significant new possibilities, but its long-term impact will depend on how these technologies are managed, governed and integrated into enterprise environments.

Trust should remain at the centre of every AI initiative. Organisations need to maintain an appropriate balance between innovation, cybersecurity, infrastructure and responsible technology adoption while understanding both the opportunities and the potential risks associated with emerging technologies. Platforms such as INFOTECH FORUM provide valuable opportunities to exchange perspectives on AI governance, trust and emerging technologies, helping organisations foster responsible innovation and strengthen confidence in the adoption of emerging technologies.