AI Weekly Malaysia

Standard Chartered spent the past year fixing its data and infrastructure foundations after early AI use cases hit limits, and is now connecting data across roughly 150 previously disconnected systems. Group CIO Alvaro Garrido briefed reporters in Kuala Lumpur on 22 September, with the bank running a private cloud at 500,000 virtual CPUs and 99% data centre virtualisation in key Asian hubs. Group chief data officer Shebani Baweja said scaling AI depends on trusted data, proportionate governance and internal skills, and warned that AI will amplify data-quality problems rather than fix them.

Why: The KL Global Business Services hub is described as the bank's second-largest globally with over 4,400 employees, 85% of them Malaysian talent, covering technology, data science, cybersecurity and compliance - so this is a concrete signal of where enterprise AI/data hiring sits locally. Baweja's claim that AI 'is probably going to amplify' bad data quality is a direct argument against pointing agents or LLM pipelines at ungoverned internal systems before the data is trustworthy.