Following earlier international summits, the tpo33 momentum returned to the Middle East, convening 33 senior decision-makers at Neera Dubai for the tpo33 Chief Data Officer executive forum. Co-hosted alongside technology partners Solace and Utrecht IT Consulting (UIC), the event centered on the theme “Building Real-Time Data Foundations for Enterprise Grade Agentic AI”.
With organizations across the Middle East accelerating their artificial intelligence initiatives, a hard consensus emerged at Neera Dubai: enterprise AI has outgrown its model problem and hit a data architecture wall.
Over a compact, four-hour series of technical keynotes and rotating executive roundtables, discussions pivoted away from experimental LLM pilots toward the low-latency plumbing, event streaming, and semantic governance needed to power autonomous enterprise agents safely at scale.
Keynotes & Strategic Perspectives
The forum’s technical agenda paired real-world implementation insights with architectural roadmaps, led by three focused presentations from industry pioneers:
Geeta Khatwani (Head of AI & Digital Transformation at Sanne) opened the program with “Preparing for the Agentic Enterprise with Scalable AI Platforms and Modern Architecture,” detailing how to transition AI beyond initial experimentation and pilot stages into resilient, production-ready systems backed by solid governance and scalable architecture. 
Phil Scanlon (Field CTO APJ&ME at Solace Corporation) delivered “How Can Real-Time, Contextual, Event-Driven Data Become the Foundation for Enterprise AI?” showing how event-driven streaming delivers the sub-second, contextual operational data necessary for autonomous agents to function without batch-processing delays.
Mufaddal Jamal (Head of Data and ML Platform at Careem | Multibank Group) shared “We Stopped Making the Model Write SQL: How Careem’s Semantic Layer Unlocked Conversational Analytics,” demonstrating how Careem replaced unstable text-to-SQL workflows with an open-source, governed semantic layer over domain-driven data marts to enable reliable natural-language querying for business teams and AI agents.
Between sessions, participants joined three successive rounds of focused roundtable breakouts moderated in turns by Khatwani, Scanlon, and Jamal. The discussions allowed data leaders to benchmark roadmaps, tackle legacy integration challenges, and evaluate real-time data fabrics before reconvening for a joint speaker summary panel and networking lunch.
The shared conclusion: organizations aiming to operationalize Agentic AI cannot rely on legacy, batch-oriented data environments dressed up with LLM wrappers. Scalable autonomy demands event-driven real-time pipelines, governed semantic context, and robust architectural foundations built for mission-critical production.
Join the Movement: Upcoming Events
Data leaders and enterprise practitioners looking to benchmark with pre-selected peers can connect with the community at these upcoming gatherings:
About tpo33 Events
Organized by Hyperight, tpo33 is a specialized series of executive events tailor-made for senior decision-makers and practitioners.
Going beyond traditional conference concepts, tpo33 provides solution-driven, peer-to-peer networking and benchmarking on need-to-solve topics and trends. Each event allows leaders to invest their time smartly by exposing their specific business challenges to a close community of pre-selected, like-minded peers. Capped at 33 participants per session, the compact 3.5-hour format eliminates sales pitches in favor of collaborative problem-solving, open dialogue, and direct knowledge exchange.
