AI & Data Summit MY-Knowledge Hub

The world is entering a defining moment for digital infrastructure. Artificial intelligence has moved from experimentation to ubiquity, and with it, a new operational paradigm is taking shape — one where agents rather than applications become the primary engines of digital value creation. This is the dawn of the agentic AI era, and its success depends on one thing above all else: robust, intelligent, and scalable infrastructure.

Asia/Pacific enterprises are entering a new phase of artificial intelligence adoption as experimentation gives way to industrialization. Generative and agentic AI systems are no longer side projects or productivity add-ons; they are becoming the backbone of how organizations automate work, make decisions, and compete in volatile markets.

AI has made many of us dramatically faster. We can write code, analyse information and understand unfamiliar systems in a fraction of the time.

But AI can also make us faster at being wrong.

The problem isn’t necessarily that AI gets the answer completely wrong.

Financial institutions face mounting pressure to balance regulatory compliance, risk management, and customer growth while legacy data warehouses slow down innovation and drive up costs.

Customers want instant, personalized service. Regulators want deeper transparency. Inside the bank, teams are juggling point solutions, spreadsheets, and overnight reports that arrive just in time to be out of date.