Climbing the AI Ladder

The advent of truly enterprise-grade information architecture means we can now build AI systems for addressing the world’s greatest challenges and opportunities. It starts with the “AI Ladder”, a rubric for understanding the steps toward true AI. What’s needed? Tools that give us the chance to combine good data, the right architecture, speed, open metadata, governance, and security. Join Manuel Corniel, Global Strategic Business Leader, IBM Analytics, for a view of information architecture that’s leading IBM's clients to vital progress with AI. It’s a journey that stretches across unified data access to analytics to machine learning and beyond. With the right pieces in play, clients open new relationships with their customers, new opportunities, new markets, new ways of thinking and behaving.


Kitman Cheung
CTO, IBM Analytics, Asia Pacific
Kitman Cheung is the Analytics CTO for IBM Asia Pacific. Throughout his 17 year career with IBM, Kitman has focused his attention on analytics related technologies, and has served in many technical roles within development, product management, partner ecosystem and technical pre-sales organizations. In his current role, his responsibilities include working with key IBM customers in various industry segments to transform their information infrastructure for the Big Data and Analytics era.