Webinar

From Wrangling to Insight: Human-in-the-Loop AI for Analytics

Learn how AWS and Posit are helping data teams accelerate time-to-insight with human-in-the-loop (HITL) AI by balancing automation with human expertise for faster, more trusted results.

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Emerging AI agents, combined with human-in-the-loop support, are transforming the analytics workflow by automating routine preparation tasks, streamlining exploratory analysis, and freeing experts to focus on delivering value. These tools improve efficiency while keeping domain experts in control and ensuring trust and governance.

Speakers

Shun Mao

Senior Partner Solutions Architect at AWS

Shun Mao received his Ph.D. degree in software engineering from South China Normal University, Guangzhou, China, in 2025. His research has been published in journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Computational Social Systems (TCSS), Information Processing and Management (IPM), IEEE Transactions on Learning Technologies (TLT), IEEE Transactions on Consumer Electronics (TCE), International Conference on Knowledge Science, Engineering and Management (KSEM), and Pacific Rim International Conference on Artificial Intelligence (PRICAI). His research interests include machine learning, learning analysis, and artificial intelligence in education.

James Blair

Sr. Product Manager, Posit

James Blair is a Senior Product Manager at Posit, where he focuses on helping Posit commercial products seamlessly integrate into cloud platforms and environments. He has a background in statistics and data science and finds any excuse he can to write R code and ride his bike, although usually not at the same time.

Deanne Larson

Research Fellow at TDWI

Deanne Larson, Ph.D., is an active data science practitioner and academic. Her research has focused on enterprise data strategy, agile analytics, and data science best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications. Deanne attended AT&T Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, PMI, and other academic conferences. She is a faculty member at Purdue Global, has consulted for several Fortune 500 companies, and has authored multiple research articles on data science methodology and best practices.