Dagskrá

In this session, Arash Ghazanfari, CxO Advisor from Dell Technologies, will share the strategies they have developed for adopting AI internally at Dell Technologies and some of the key lessons they have learnt along the way.

How do you embrace innovation without exposing your critical data into the ”wild”?

Most organizations no longer need convincing that AI matters. The harder question is why so many AI experiments never become real operational value. Corey Harpe leads Modeling and Data Science at Veitur, Iceland's largest utility, where AI has to work inside water, wastewater, district heating, and electricity operations, a world where a wrong answer isn't an awkward demo, it's a cold house in January. Drawing on deployed products, measured results, and honest failures, this talk shows what actually determines whether AI creates value: trust, ownership, changed workflows, and measurement.

As organizations move from AI experimentation to business-critical deployment, success depends on more than models and technology. It requires trustworthy data, strong governance, measurable outcomes, effective risk management, and clear executive ownership. In this keynote, Neil Sholay explores what separates organizations that are successfully scaling AI from those stuck in perpetual pilot projects. Drawing on insights from global enterprises, the session examines how leaders can build AI strategies that deliver measurable business value while maintaining trust, transparency and accountability. This reflects major themes explored in Oracle's recent AI Changes Everything leadership discussions around governance, risk, trust and enterprise adoption.

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