National data regulators
Contributed to the definition of a national data index, the benchmark used to measure the data maturity of public entities.
The professional
I advise government and telecom organizations on data governance, data management, and AI readiness, drawing on more than 30 years across enterprise data and technology.

My dual major in Economics and Computer Science at the American University of Beirut informs how I approach enterprise technology: assess the business value, understand the technical requirements, and establish accountability for the outcome.
Over more than 30 years, my work has spanned telecom and enterprise systems, data warehousing, business intelligence, enterprise architecture, and data governance. These disciplines connect business priorities with the data, operating models, and controls needed to deliver them.
My current focus brings data governance and AI governance together. Governed data provides the quality, meaning, traceability, and permissible use that AI systems require. AI governance extends accountability to models, agents, their decisions, and their operation.
I developed the Two Wings AI Framework to assess AI initiatives across value and trust, with governance spanning both wings and the AI Decision Gate. My separate published work, the AI-Ready Data Diagnostic (ARDD), assesses the data foundation across nine foundation dimensions, alongside two contextual dimensions. Together, they connect investment decisions, data readiness, and the assurance required for production.
My engagements cover national data maturity, organizational data governance, and enterprise data architecture.
Contributed to the definition of a national data index, the benchmark used to measure the data maturity of public entities.
Data strategy, establishing the data governance office, operating models, policies and processes, and maturity uplift.
Data governance, enterprise architecture, data warehousing and business intelligence, across the GCC, EMEA and the United States.
I established Aiconomica in 2017 and began publishing on the economics of AI in 2020. My writing explores the relationship between AI investment, organizational capability, and business value. Earlier articles are available at aiconomica.com and ai2022.com.
I work through Green Data, and on AI engagements under the Aiconomica brand. As an independent assurer, I assess systems against defined criteria and documented evidence, with independence from the implementation being assessed.
Languages: English (fluent), French (fluent), Arabic (fluent), Spanish (intermediate).
Regions: GCC and EMEA.