Analyst Profile

Svetlana Sicular
VP Analyst
11 years at Gartner
,
28 years industry experience
CA USA
Roles and Responsibilities
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.
Svetlana Sicular's Recent Gartner Activity
Latest Research
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Use AI and Blockchain to Detect Fakes in a Zero-Trust World
21 October 2020 -
Gartner Predicts the Future and Impacts of AI Beyond 2021
14 April 2021 -
The Critical Machine Learning and Data Science Trends You Should Not Ignore
19 May 2021
On-Demand & Upcoming Webinars
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Data & Analytics Summit
22 August 2022 - 24 August 2022 -
Data & Analytics Summit
19 September 2022 - 20 September 2022 -
Data & Analytics Summit
07 November 2022 - 08 November 2022
Upcoming Gartner Events
Background
Previous Experience
Before joining Gartner, Ms. Sicular gained a uniquely combined experience of Fortune 500 IT and business leadership, product management at world-class software vendors and Big Four consulting.
Professional Background
Oracle/Siebel Systems, Core Technology Product Management Positions, 6 years
PricewaterhouseCoopers (PwC), Principal Consultant, 6 years
Visa, Vice President, Global Data Standards, 4 years
Industry Awards/Accolades
2017 Gartner Thought Leadership Award
Education
M.S., Mathematics
Languages
English
Russian
Ukrainian