Mustafa Qizilbash is a seasoned data strategist, Author, and AI thought leader with over 20 years of global experience spanning Singapore, New Zealand, Malaysia, Myanmar, and Pakistan.
He has worked with industry giants like Oracle, Hong Leong Bank, and DBS Bank, helping organizations harness data as a strategic asset.
Mustafa is presenting his session, streaming live from Kuala Lumpur, Malaysia, during the 24 hour Artificial (Un)Intelligence Conference.
Session Description, Agentic AI Uses
We are now entering the era of AI Agents. But what does this really mean? It marks a shift away from the traditional centralized approach, which has long been the dominant model. In the past, decentralized approaches failed due to a lack of control and governance. This led organizations to centralize their data and AI functions. However, over time, this approach created bottlenecks, limiting agility and innovation.
Now, C-level executives are seeking to reintroduce decentralization—but with a balanced approach. The goal is to empower business units with control over their AI-driven product creation while maintaining centralized governance. This model, known as the Federated Approach, ensures that AI and data initiatives remain distributed across the organization while adhering to unified governance frameworks and strategic alignment.
This shift fundamentally redefines the role of the Chief Data Officer (CDO). Traditionally, the CDO focused on data governance and management, but today, their responsibilities extend far beyond that. The modern CDO must oversee the entire Data & AI Ecosystem, ensuring that data-driven innovations align with business objectives.
A new term is emerging to capture this expanded role—Data Practice Management. This function is responsible for managing and overseeing all Data and AI Products across an organization. It operates across two key categories:
Business-as-Usual (BAU) Activities – These form the foundation of Data Practice Management.
Value Generation Activities – These drive innovation and business impact, structured under the Four 4s Formula.
Within this Four 4s Formula framework, a key sub-dimension, ‘New Data Products Now in View,’ falls under the core dimension of Data Product Lifecycle and Problem-Solving Focus. This directly ties into our discussion today—Agentic AI.
Agentic AI represents the future—a landscape where small, autonomous AI agents work together to build solutions. These intelligent agents will revolutionize how businesses create, manage, and deploy AI-powered products, driving unprecedented levels of efficiency, agility, and innovation.”
About Mustafa Qizilbash
Mustafa Qizilbash is a seasoned data strategist, Author, and AI thought leader with over 20 years of global experience spanning Singapore, New Zealand, Malaysia, Myanmar, and Pakistan. He has worked with industry giants like Oracle, Hong Leong Bank, and DBS Bank, helping organizations harness data as a strategic asset.
An Author of I Am Datapedia! And also pioneer of frameworks like the Four 4s Formula, PVP (Productionizable Viable Product) Approach and DAC (Data and AI Cognitive) Architecture, enabling businesses to navigate digital transformation effectively. His expertise includes enterprise data governance, large-scale data migrations, and designing multi-layer tenancy models for modern data ecosystems.
A passionate advocate for data-driven decision-making, he shares his insights through globally recognized podcasts [‘Let’s Talk About Data!’: https://youtube.com/@letstalkaboutdata], mentorship, and thought leadership. At the heart of his mission is empowering organizations to turn data into a competitive advantage, fostering innovation, growth, and resilience in the AI-driven world.
The Artificial (Un)Intelligence Conference is a global, 24 hour live online conference. Registration is free, and includes access to all sessions, including on-demand, at the conclusion of the event. No sales pitches, no marketing. Just the good stuff.
We're trying to find the unheralded people around the world who are doing cool things with AI. Is that you?
Check out our speaker gallery and then let us know what you're working on. We look forward to hearing your story.
Comments