Responsible AI is one of the hottest topics today. It makes AI a positive force, rather than a threat to the society and to itself. In this session, we will examine the most critical aspects of Responsible AI — accountability, explainability and societal impacts. We will share thought leading ideas of how to drive AI responsibly to increase trust in AI, maintain compliance, protect your reputation and most of all — do wonderful things safely.
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; 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, 08 June, 2021 / 01:45 PM - 02:15 PM AEST
(Monday, 07 June, 2021 / 11:45 PM - 12:15 AM EDT)
Responsible AI: Drive Carefully, Choose Wisely and Do Wonders With AI
Wednesday, 09 June, 2021 / 10:45 AM - 11:15 AM AEST
(Tuesday, 08 June, 2021 / 08:45 PM - 09:15 PM EDT)
The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
Learn about the current trends influencing the machine learning and data science landscape, including ML augmentation and automation, MLOps and model management, explainability and open source. Employ emerging practices to manage and govern data science corporate initiatives, and which platforms to choose. We will discuss high-level some complexities and how enterprises can become more effective.
Wednesday, 09 June, 2021 / 12:15 PM - 12:45 PM AEST
(Tuesday, 08 June, 2021 / 10:15 PM - 10:45 PM EDT)
Ask the Expert: Operationalizing AI and Machine Learning: Best Practices and Lessons Learned
Join this Ask the Expert session to learn more about operationalizing AI and machine learning.