Request the Data 2030 Summit MEA 2027 PDF Agenda

Data 2030 Summit MEA 2027 is the premier roundtable gathering the data management community in the MEA region to explore strategies, architectures, and enablement needed to turn data into a trusted foundation for intelligent and autonomous operations.

With 30+ international speakers, interactive panels, and unmatched networking, it’s the go-to event for CDOs and data leaders driving Data Governance, Quality, MDM, Enterprise Architecture, Data Products, and DataOps.

The 2027 edition is limited to just 250 onsite participants to ensure an exclusive and impactful experience. – Request the agenda today to explore more about the summit.

Thanks to our 2025 Speakers

Goran Cvetanovski

CEO & Chief Editor
Hyperight

Alex Astrogold

Head of Data & Information Management

Dr. Mohammad Alomair

Chief Data Officer
Saudi Irrigation Organization

Dr. Mohamed Abdelhaleem

Senior Director – Health Transformation
Tawuniya Insurance

Mert Sendag

Director of Regional Data Strategy for EEMEA Region
Mastercard

Dhuha AlQawsi

Senior Data Protection Officer
NBP – National Bank of Pakistan Saudi Arabia

Iftikhar Ali Alvi

Head of Special IT Projects
Tatweer Education Holding Company

Mohammed Emad Mesherf

Data & Analytics Manager
Al Majdouie Motors

Javed A. Akbar

Chief Governance, Risk (GRC), Insurance & Data Officer
Tasnee

Majd Aldeen Masriah

Director of Enterprise Architecture
Geidea

Dr. Abeer S. Al-Humaimeedy

Vice Dean for Development and Quality
KSU-CCIS

Manar Abouhenidi

Data Management, Science & Analytics Manager
Red Sea Global

Reema Almugheera

Data Privacy Manager
Alrajhi Capital

Gabriele Obino

Regional Vice President South Europe and Middle East and General Manager
Denodo

Khader Waleed AlNoubani

Group Director – Data & AI
Geidea

Karim Lahlou

Director of Consulting Services
SBI

Nour Bou Imad

VP Operations
APGAR KSA

Abdulaziz Almanea

Founder and Chairman of the Board
Dama Saudi

Hesham Mohamed

Strategic Senior Manager for Enterprise & Government Accounts
Incorta

Dr. Reem Mahjoub

Data Governance Director, Senior Data Governance Consultant
STC

Damian Koryzna

Data & Analytics Lead at Solution BI
SBI

John Mullis

Lead Sales Engineer
Fivetran

Mohamed Touiti

Senior Solutions Engineer
Snowflake

Ibrahim Tumar

Sales Director – KSA
Snowflake

Fayçal Khalouli

CEO
TROY

Amel Ayat

Global Data Strategy
TROY

Dr. Manal Khalaf Almutairi

Director of Data Architecture @ Risk Analytics
Confidential Government

Imran Moinuddin

SVP Data & AI
VentureDive

Tomasz Jazdzewski

ML OPS eng.
Virtuslab sp. z o.o.

Mohamed Elkady

Principal Solutions Architect
Informatica – Middle East & Emerging Markets

Ahmed Tarek

Director of Sales Engineering, EMEA
Incorta

Shanawaz Janmohamed

Analytics Director
Function Group Analytics Inc.

Adel Abaji

Director of Data Analytics Manager
Function Group Analytics Inc.

BE THE FIRST TO DISCOVER WHAT’S COMING NEXT

Unlock the Power of Data at the Data 2030 Summit MEA!

Unlock the
Power of Data 
at the Data 2030 Summit MEA!

Join us at the highly anticipated Data 2030 Summit and gain exclusive insights into the latest trends and developments in Data Management and beyond.

By attending this event, you’ll have the opportunity to discuss and learn about:

Operationalize Enterprise AI

Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.

Build Trusted Data Foundations

Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.

Create AI Ready Data Architectures

Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.

Turn Data Into Business Value

Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.

Improve Data Quality for AI

Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.

Modernize Data Management Practices

Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.

Accelerate AI Readiness Across the Organization

Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.

Reduce Complexity Across Modern Data Estates

Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.

Explore the Future of Enterprise Data Management

Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.

Learn From Real Enterprise Implementations

Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.

Operationalize Enterprise AI

Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.

Build Trusted Data Foundations

Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.

Create AI Ready Data Architectures

Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.

Turn Data Into Business Value

Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.

Improve Data Quality for AI

Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.

Modernize Data Management Practices

Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.

Accelerate AI Readiness Across the Organization

Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.

Reduce Complexity Across Modern Data Estates

Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.

Explore the Future of Enterprise Data Management

Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.

Learn From Real Enterprise Implementations

Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.

Request the Data 2030 Summit MEA 2027 PDF Agenda