Field notes from the rooms where enterprise AI gets decidedNext room: Singapore & New York · 13 Nov 2026
The CIO Room
Hani Arab, Chief Information Officer at Seymour White
Seymour White

About

Hani Arab is Chief Information Officer at Seymour Whyte, leading technology,digital, data and cyber security across the business. With more than 25 years ofexperience spanning construction, asset management and media, his currentfocus includes enterprise AI adoption, digital transformation, cyber resilience andbuilding trusted data and technology foundations. Hani is particularly interested in moving AI from experimentation to practicalbusiness value through effective governance, strong data and human judgement. Acivil engineer by training, he holds CISSP and CISM certifications andpostgraduate qualifications in business and technology, and is completing a PhDat the University of Melbourne researching organisational responses to criticalcyber attacks.

Spoke at The CIO Room Sydney 2026

Hani Arab

Chief Information Officer at Seymour White

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On their agenda

Priorities, mapped against profiled leaders

Source: 757 The CIO Room leader profiles with at least one priority theme, from 765 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Hani's saved themes.

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The CIO Room Sydney 2026

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AEDT · Panel

When Does AI Investment Actually Pay Off?

Every senior leader is under pressure to show that AI spend translates to business value, but the path from investment to measurable outcomes is rarely linear. This panel brings together executives to share unfiltered perspectives on how they are defining, measuring, and communicating success for AI at the enterprise level, holding their organizations accountable to results, and making the tough call on when to double down, pivot, or walk away. From navigating board expectations and financial scrutiny to recalibrating strategy when pilots don't deliver, panelists will discuss what it genuinely takes to turn AI ambition into sustained competitive advantage. This is not a conversation about technology. It is about leadership, accountability, and the strategic choices that separate AI leaders from AI laggards.

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63 leaders share three or more of Hani's priorities

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