Rania Khalaf

WSO2

Dr. Rania Khalaf is Chief AI Officer and GM of AI at WSO2, leading the company's AI and Agentic roadmap, including the new Agent Platform. With deep expertise at the intersection of AI, cloud platforms, and enterprise software, Dr. Khalaf has a proven track record of building AI-native products from zero to market and driving company-wide transformations. Previously, she was Chief Information and Data Officer at Inari, a unicorn biotech startup where she built its digital and AI organization through a period of extraordinary growth, delivering deep learning and knowledge graph platforms for gene discovery. She was Director of IBM Research AI Engineering and Distinguished Research Staff Member leading an organization of at the frontier of AI and cloud, driving innovations to product including award-winning Watson products and open-source projects that became industry standards. She holds Bachelor's and Master's degrees from MIT and a PhD from the University of Stuttgart, with technical depth resulting in 90+ publications and over 8,000 citations. Rania serves on academic and industry boards and is a frequent speaker at institutions including MIT, Harvard, Yale, and UC Berkeley.

Sessions (1)

The Chief AI Officer: A framework for the emerging Swiss Army Knife of roles

3:45 PM·Leadership 1 · Room 3016

The Chief AI Officer (CAIO) is currently the C-Suite’s most "multiversal" role. In a single day, you must inhabit different realities: you are a Tinker building scalable experiments in bleeding edge tech, an Architect navigating the hype cycle to execute high-stakes product strategy, and a Coach guiding a workforce and your customers on meaningful AI adoption - minus the fluff. It is a role defined by high-speed context switching and the pressure to deliver "Everything, Everywhere, All at Once." As one of the first Chief AI Officers, and leaning into my experience across Fortune 500, unicorns starups, and PE backed firms, I share a dynamic 20/60/20 Framework for the modern CAIO. We’ll explore how to navigate this multi-tool role by treating the organization as an "Equalizer"—learning when to push the sliders of focus based on your industry’s maturity and where you are in the AI journey.

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