Chief Data Officer
Building Real-Time Data Foundations for Enterprise Grade Agentic AI
2027
Sheraton Riyadh Hotel & Towers
Riyadh
Co-Host Partner
Welcome
This gathering will bring together 33 senior decision-makers in an interactive and highly curated setting. With a sharp focus on the architectural foundations of enterprise AI, this edition centers around three critical areas: assessing organizational readiness for AI by identifying gaps in data architecture and integration, building real-time and event-driven data platforms that enable intelligent enterprise operations, and preparing for the rise of the Agentic Enterprise through scalable AI platforms and modern enterprise architecture.
As organizations across the region accelerate AI adoption, many are discovering that the greatest challenge is no longer developing AI models, but delivering the trusted, real-time data they depend on. Legacy architectures, fragmented data environments, and batchoriented integration limit the ability to operationalize AI at scale. During this compact four-hour executive forum, we will explore how leading organizations are assessing AI readiness, modernizing enterprise data architecture, embracing real-time event-driven data, and preparing their platforms for the next generation of intelligent AI applications and autonomous agents.
Built around a series of focused presentations and collaborative roundtable discussions, the TPO33 format encourages open dialogue, peer benchmarking, and practical knowledge exchange. Every element is designed to help data and architecture leaders validate their strategic direction, exchange implementation experiences, and gain practical insights into building scalable, AI-ready enterprise platforms.
Join us in Riyadh to connect with fellow CDOs, Chief Architects, and AI Platform Owners, exchange experiences, and help shape the next generation of enterprise data architecture—one that combines trusted data, real-time intelligence, and scalable platforms to power the Agentic Enterprise.
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Speakers
Shiraz Aslam
Head of AI and Data Governance | Banque Saudi Fransi
Approach-driven professional with strong Data & AI knowledge and hands-on 18 years of international experience working with Big-4 Consulting Firms, Digital Banks, Conventional Commercial Banks, Central Banks, Insurance Companies, and Government Ministries. I am a Guinness World Record Holder in AI Hackathon. I had opportunities to attend various lectures, trainings and seminars on digital banking, emerging technologies, data management, integrity, confidentiality and independence that further enhanced my technical knowledge, managerial and communication skills. I am Certified Artificial Intelligence Governance Professional (AIGP), Data Management Professional – CDMP, and Certified in Applied Data Sciences from Massachusetts Institute of Technology (MIT) USA. I am also a qualified Chartered Certified Accountant from ACCA UK. Currently affiliated with MIT USA on No Code Agentic AI Certification to be equipped with latest AI technologies.
Aby Biekre
Head of AI Cloud Infrastructure | NEOM
As Head of AI Cloud Infrastructure at NEOM, Aby brings over 25 years of technical expertise and leadership in developing and deploying cutting-edge cloud solutions tailored for AI workloads. His work focuses on optimizing performance, scalability, and security while driving strategic innovation in AI and distributed computing services.
With a background in distributed computing and cloud architecture spanning multiple roles, he is committed to enabling transformative digital solutions. By leveraging his expertise in AI/ML integration, infrastructure automation, and orchestration, Aby aims to advance NEOM’s vision for intelligent, secure, and scalable platforms.
09:00
Registration opens
09:30
Intro to tpo33 – Program and Proceedings
09:45
Assessing organizational readiness for AI by identifying gaps in data architecture and integration Shiraz Aslam – Head of AI and Data Governance | Banque Saudi Fransi
10:05
Roundtable Discussions
• Table 1 – Moderated by Shiraz Aslam – Head of AI and Data Governance | Banque Saudi Fransi
• Table 2 – Moderated by Speaker 2
• Table 3 – Moderated by Aby Biekre – Head of AI Cloud Infrastructure | NEOM
10:45
How Can Real-Time, Contextual, Event-Driven Data Become the Foundation for Enterprise AI? Speaker 2
11:05
Roundtable Discussions
• Table 1 – Moderated by Aby Biekre – Head of AI Cloud Infrastructure | NEOM
• Table 2 – Moderated by Shiraz Aslam – Head of AI and Data Governance | Banque Saudi Fransi
• Table 3 – Moderated by Speaker 2
11:45
Networking Break
11:55
How Do You Build the Data Platform for the Agentic Enterprise? Aby Biekre – Head of AI Cloud Infrastructure | NEOM
12:15
Roundtable Discussions
• Table 1 – Moderated by Speaker 2
• Table 2 – Moderated by Aby Biekre – Head of AI Cloud Infrastructure | NEOM
• Table 3 – Moderated by Shiraz Aslam – Head of AI and Data Governance | Banque Saudi Fransi
12:45
12:50
Co-Host Partner
Who and why should attend?
The CDO tpo33 is tailor-made for every practitioner or organisation working with or interested in learning how to leverage data as enterprise assets, create modern data strategy and platform and democratize quality data across the organisation. The event is created for Chief Data Officers, Data and AI Platform Owners, Chief Architects, and senior enterprise architecture leaders responsible for building AI-ready data platforms across the Middle East.
Our tpo33 events bring the industry’s best and brightest minds and help delegates:
By attending you will learn how to: