How can organizations identify their own AI maturity level, find the next best actions and avoid common mistakes? Use Gartner AI maturity model to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs. Learn how advancing the AI maturity is beneficial not just for the AI teams but also to the business.
Svetlana Sicular
VP Analyst
Svetlana Sicular is a thought leader at the intersection of data and AI. She is convinced that a human plus AI is smarter than either by themselves. Ms. Sicular really cares about helping organizations achieve digital transformation by using AI to implement breakthrough business ideas. Her current research interests focus on AI and ML; data-centric AI, the ongoing shift to decision intelligence; responsible AI and AI governance; and the most exciting part of machine learning and artificial intelligence - the human.
Ms. Sicular pioneered responsible AI, AI governance, augmented intelligence and big data research at Gartner. She developed important, now commonly recognized ideas: multidisciplinary data science teams, the role of Chief Data Officer, data & analytics governance in the age of AI and personal analytics.
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Ms. Sicular pioneered responsible AI, AI governance, augmented intelligence and big data research at Gartner. She developed important, now commonly recognized ideas: multidisciplinary data science teams, the role of Chief Data Officer, data & analytics governance in the age of AI and personal analytics.
Tuesday, 10 May, 2022 / 03:15 PM - 03:45 PM BST
Use AI Maturity Model to Do the Right Things at the Right Time
Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST
How to Find Winning AI Use Cases
AI use case prioritization is still a daunting task involving multiple skills and storytelling craft. We show how the use-case prism helped in prioritizing over 200 AI use cases for over 24 different vertical and horizontal domains.