DAMA-MN Chapter Meeting Recordings

Participants learn how established data governance principles naturally extend to Responsible AI; how to explain AI concepts using practical, business-focused language; how to evaluate AI use cases using the Do No Harm model and The Ethical Yardstick; and how to integrate Responsible AI into existing governance programs without creating entirely new processes or organizational structures.

Dr. April C. Williams, PhD, CDMP, CIPT, AIGP, known as The Ethical Data Doc, is a data governance and AI governance leader with nearly 20 years of experience helping organizations build trust in data and AI. She works at the intersection of governance, ethics, privacy, and operational excellence, translating complex AI concepts into practical strategies for business leaders.

Drawing on experience across healthcare, finance, education, and enterprise transformation, Dr. Williams helps organizations implement responsible AI practices that strengthen accountability, reduce risk, and support confident decision-making. She is the founder of DataLeadership Solutions and author of Do No Harm: A Journey Through Justice, Data Governance, and the Ethics of AI and Do No Harm: Before the Algorithm Decides.

Through her books and practical frameworks, including the Do No Harm model and The Ethical Yardstick, she equips leaders to evaluate AI initiatives with clarity, transparency, and ethical discipline. Connect with her on LinkedIn at linkedin.com/in/aprilcwilliams.

An internationally respected expert, Danette McGilvray is known for her Ten Steps™ approach, used by multiple industries as a proven method for increasing the value of data through quality and governance. It applies to operational processes and focused initiatives such as security, analytics, digital transformation, AI, and compliance. Danette guides leaders and staff as they connect business strategy to practical steps for implementation.

As president and principal of Granite Falls Consulting, Inc., Danette is committed to the appropriate and effective use of technology and addressing the human aspect of data management through communication, change management, and engaging with people.

Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021). Chinese and Japanese translations are available, and a Spanish translation is currently underway.

Riju Raval is a Senior Data and IT Leader with over 21 years of experience driving large-scale digital and data transformations across Manufacturing, Food Production, Finance, and Logistics. Expert in aligning data strategy with business outcomes, Riju specializes in Data Governance, Master Data Management, and Data Quality. A proven leader of global, multimillion-dollar programs, she has successfully managed teams of up to 60 cross-functional professionals to implement scalable on-premise and cloud solutions that deliver trusted enterprise data.

Tom Redman, known as “The Data Doc,” is a leading authority on data quality and enterprise data management who helps organizations tackle data challenges to drive better decisions, operations, and AI outcomes. A frequent contributor to Harvard Business Review and Sloan Management Review, he is the author of People and Data: Uniting to Transform Your Organization (2023), where he emphasizes empowering people and focusing on foundational data practices.

Andy Nash is a data quality and governance leader at Target with over 16 years of experience advancing enterprise data quality, stewardship, and trust in data. He is known for building scalable data quality capabilities by aligning technology, business processes, and people, and has led impactful initiatives such as enterprise scorecards and data quality controls while actively contributing to industry standards and thought leadership.

Robert (Bob) S. Seiner is a recognized leader in data management and governance, best known as the originator of the Non-Invasive Data Governance® (NIDG) approach and the Data Catalyst³™ framework. As President and Principal of KIK Consulting & Educational Services, he focuses on advancing best practices in data, metadata, and AI governance through education and knowledge sharing. An accomplished author and educator, Seiner serves as faculty in Carnegie Mellon University’s Chief Data and AI Officer (CDAIO) program and is a sought-after keynote speaker and thought leader in the global data management community.

Aakriti Agrawal is a data and analytics professional known for her work in advancing data-driven decision-making and modern data practices within organizations. She brings a strong blend of technical expertise and business insight, focusing on areas such as data strategy, analytics, and governance to help organizations unlock value from their data.

Jason Doer III leads enterprise-wide data governance and lifecycle management at Xcel Energy, aligning data strategy with business outcomes. With a background in IT architecture, automation, and data quality, he blends strategic vision with practical execution to advance data maturity. A strong advocate for data-driven culture and trusted information, Jason brings leadership and thought-provoking insight to the data management community.

Mark Horseman is a data management leader with over 20 years of experience and currently serves as Data Evangelist at DATAVERSITY, where he leads education and certification initiatives. A CDMP Master and experienced instructor, he has led information management programs across public and private sectors and is a key contributor to industry training, including DATAVERSITY’s CDMP and Applied Data Governance Practitioner (ADGP) programs.

David Loshin is President of Knowledge Integrity, Inc. and a recognized thought leader in data strategy, information risk, and analytics. A prolific author and sought-after speaker, he has written extensively on data management best practices and serves as an Associate Research Engineer at the University of Maryland, helping organizations drive innovation through trusted data.

Marilu Lopez is a seasoned data management leader and consultant, and the owner of SEGDA, specializing in data strategies and operating models. With over 30 years in the financial sector and 15 years in data management, she is a CDMP Master and TOGAF-certified professional, a former president of DAMA Mexico, and a global DAMA leader who actively speaks at international conferences and authored Data Strategies for Data Governance.

Michael Scofield is a seasoned data management professional, educator, and frequent industry speaker with over 20 years of experience in data quality, data architecture, data warehousing, and visualization. He serves as an Assistant Clinical Professor at Loma Linda University and has delivered hundreds of presentations worldwide, earning recognition such as the DAMA International Community Award for his contributions to advancing data management practices.

Meenu Howland is a data governance and enterprise data strategy leader with over 15 years of experience helping organizations unlock business value from their data. Known for her practical, forward-thinking approach, she focuses on bridging gaps between data, processes, and ownership, and is the author of Unlinked, where she introduces a new architectural perspective on making governance effective and sustainable.

Claire Waner is a data science professional at Securian Financial with experience applying analytics and AI across industries including consumer packaged goods, supply chain, and financial services. She holds a Master’s degree in Computer Science with a focus on Data Science from the University of Illinois and is passionate about using data-driven approaches to improve business processes; outside of work, she enjoys baking, crocheting, and playing pickleball.

Mike Atkins is a recognized leader in data management and semantic technology, and a co-founder of Semantic Arts, where he helps organizations design data architectures centered on shared meaning and business alignment. He is also the founder of the Enterprise Data Management Council and co-founder of the Enterprise Knowledge Graph Foundation, bringing decades of experience guiding enterprises in adopting semantic standards and knowledge graph approaches to simplify and harmonize complex data environments.

Piotr Czarnas is the founder and CEO of DQOps, a company focused on automating and scaling data quality management for modern data teams. With more than 25 years of experience in data engineering and software development, he has built and led high-performing engineering teams and multiple startups, helping organizations design practical, scalable approaches to data quality, governance, and observability.

Dave Crolene is Vice President of Data, Analytics & AI at EXL, with over 25 years of experience driving transformative business outcomes through data and emerging technologies. He has led enterprise data initiatives for major organizations including Sony, Pfizer, Target, and AT&T, combining deep technical expertise with strategic leadership.

Laura Madsen is a global data strategist, advisor keynote speaker and author. She coaches data leaders in healthcare, government, manufacturing, and tech. Laura has spoken at hundreds of conferences and events inspiring organizations and individuals alike with her iconoclastic disrupter mentality. Laura is a co-founder of Minneapolis-based consulting firm, Moxy Analytics where she combines her passion for helping companies define and execute successful data strategies and radically challenging the status quo.