Part 12/15:
A crucial part of the dialogue focused on demystifying the hype surrounding AI, especially agents. Goparan cautioned that not all AI systems are suitable for all use cases. Throwing AI agents at problems where simple automation suffices not only wastes resources but can create new risks. Instead, organizations should be strategic—selecting high-impact, well-defined use cases where AI can truly add value.
Kelvin echoed this, noting that the true potential of AI lies in understanding when to leverage GPT-like models for reasoning and context, versus deploying specialized, purpose-built systems. He emphasized that worthwhile AI solutions must be aligned with clear business objectives and that responsible experimentation is key to avoiding pitfalls.