Competitive decision-making in the digital age must be contextual, continuous and connected. Silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. But how to overcome these and other hurdles? Which capabilities are needed? How do AI, decision modeling, real-time analytics, data fabrics and optimization come together in decision intelligence, the next big thing in data & analytics?
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.
Monday, 07 November, 2022 / 10:45 AM - 11:15 AM AEDT
Decision Intelligence and Optimization Across Your Enterprise and Ecosystem
Tuesday, 08 November, 2022 / 03:45 PM - 04:15 PM AEDT
Use AI Maturity Model to Do the Right Things at the Right Time
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.