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Data Architecture
Data and analytics leaders are navigating one of the most transformative periods the industry has ever seen. As AI accelerates innovation and executive expectations intensify, organisations must modernise their capabilities while managing legacy systems, workforce concerns, and growing trust, ...
ThoughtSpot's "The Leader’s Guide to the Agentic Semantic Layer"
Data and analytics leaders are navigating one of the most transformative periods the industry has ever seen. As AI ...
Malaysia’s AI Ambition Has a Data Problem
Malaysian government's ambitions around becoming an “AI Nation” by 2030 continue to gain traction, while investments ...
Governing the Future: Gen AI and Data Governance in Indonesia’s Public Sector
Corinium spoke with Septi Rito Tombe, the senior data manager at INA Digital Edu to understand how Indonesia’s public ...
The Data Operating System: Why People, Not Tools, Drive ROI
Organizations continue to invest heavily in data platforms and advanced tooling, but proving ROI is a challenge for ...
One Prompt Per Rule: A Different Approach to LLM-Powered Compliance Document Processing
In this guest blog, Shesh Narayan Gupta, Senior Manager of Data Science at Capital One, shares practical lessons from ...
The Hidden Infrastructure Powering Safe AI in Financial Services
Financial services organizations are innovating with AI at a blistering pace, but without the right infrastructure and ...
Unifying Indonesia’s Cross-Sector Data Systems
In the era of digital governance, public sector transformation depends not merely on technology adoption and solid ...
AI Readiness in Southeast Asia: Why Investment Alone Isn’t Enough
Over the past two years, artificial intelligence has dominated corporate strategy conversations across Southeast Asia. ...
The Rise of Logical Data Management - An O'Reilly Book (Compliments of Denodo)
An Essential Data Strategy for Transforming Your Business in the Age of AI O’Reilly’s The Rise of Logical Data ...
The New CDAO Mandate: Turning Data and AI into Real Business Outcomes
Not long ago, the conversation around data leadership centred on platforms, pipelines, and dashboards. Today, the ...
Who Owns the Risk? Redefining Accountability in the Age of AI
In Singapore’s increasingly AI-driven economy, one question looms larger than most: who ultimately owns the risk? As ...
Balancing Speed, Structure, and Trust: Lessons from CDAO Perth 2025
What were Perth's data leaders discussing this year? At this year’s CDAO Perth 2025, the conversations were pragmatic, ...
Guardians of Trust: Rethinking Data Security and Privacy in AI Era
Guardians of Trust: Navigating Data Security and Privacy in Southeast Asia’s AI Era Across Southeast Asia, the race to ...
