Panel discussion moderated by Sajesh Gopinath

Bringing AI from the lab to large-scale deployment requires more than technical know-how; it demands speed, flexibility, and a robust strategy. This session will guide participants through the process of accelerating AI solution development—from quick experimentation to full deployment—while embracing a “fail fast, learn faster” mindset. The discussion will cover designing agile development cycles, maximising learning, reducing time to market, and implementing practical approaches for scaling AI solutions. Panelists will share insights on streamlining workflows and building infrastructure to support continuous improvement, ensuring AI initiatives quickly deliver meaningful impact across the organisation.