Speaker Bio
Svetlana Sicular is a thought leader in AI, making a transformational impact on AI governance, strategies and AI-data readiness of organizations of all scales, from multinational corporations and government bodies to innovative startups. As one of the first analysts ever covering AI, she has been shaping AI space for over a decade, influencing strategies of major players and adopters. Her current research interests focus on AI governance, AI trends, the ongoing shifts in AI and on the most exciting part of artificial intelligence - the human. At Gartner, Svetlana pioneered research on generative AI, AI governance, responsible AI, AI-ready data and earlier – on big data, multidisciplinary AI teams, data product management, the Chief Data Officer's role, data governance in today's AI-driven landscape, and augmented intelligence – where humans and machines excel together.
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Sessions
Tuesday, 28 April, 2026
12:30 PM - 01:15 PM BRT
Advance Your AI Strategy For Success in an Era of Constant Change
Svetlana Sicular,
VP Analyst, Gartner
The enormous potential business value of AI will not materialize spontaneously. AI leaders should guide their organizations toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.
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Wednesday, 29 April, 2026
12:00 PM - 12:30 PM BRT
AI Governance: How to Design an Effective AI Governance Operating Model
Svetlana Sicular,
VP Analyst, Gartner
Implement your target AI governance operating model by mapping governance pillars to key AI components and differentiating AI capabilities. This model should connect with other governance bodies and extend existing governance models to AI-specific considerations of trust, transparency and diversity.
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Wednesday, 29 April, 2026
02:00 PM - 03:30 PM BRT
Workshop: How to Scale AI Governance Using Technology
Svetlana Sicular,
VP Analyst, Gartner
Ubirajara Mendes,
Executive Partner, Domains, Gartner
Organizations struggle to scale AI governance, mitigate risk and effect compliance while delivering value. Current governance processes are not effective to deliver value at scale. In this session you will learn how to address culture and behavior, prioritize what capabilities your organization needs to add to the tech stack from complimentary tools to effectively govern AI, and make an investment decision in an AI governance platform if appropriate.
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