Currently, he is advising a Health Industry start-up and is a member of the DAMAI board and Chief Data Officer. As the Global Data Governance Leader at the Royal Bank of Canada, he was responsible for Data Strategies and Data Governance, working with agile labs and with personnel globally. As Global Metadata Leader for KPMG, he provided guidelines and standards for all participant firms, functions, and markets. He has taught data modeling and data management courses through Ryerson University. He speaks regularly at international industry events, DAMA functions, and metadata conferences.

Laura Sebastian-Coleman, Ph.D., VP of Data Management & Governance at Prudential, has worked in Data Quality Management since 2003. She has implemented Data Quality metrics and reporting, launched and facilitated Data Quality working groups, contributed to data consumer training programs, and led efforts to establish data standards and manage metadata in support of Data Governance goals. Author of Navigating the Labyrinth (2018) and Measuring Data Quality for Ongoing Improvement (2013), her latest book, Meeting the Challenges of Data Quality Management, was published in February 2022. Laura was the production editor for the DAMA-DMBOK2, for which she received DAMA’s award for Contributions to the Data Management Profession (2018).

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, artificial intelligence, data science, 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), often described as a “classic” or noted as one of the “top ten” data management books.The 2nd edition is used as a textbook in university graduate programs and has been translated into Chinese. 

Len Silverston is a best-selling author, consultant, and speaker with over 35 years of experience in helping organizations around the world integrate data. He is an internationally recognized thought leader in the fields of data management as well as in the human dynamics that lie at the core of synthesizing and effectively using information. He is the author of the best-selling "The Data Model Resource Book" series (Volumes 1, 2, and 3), which provides hundreds of reusable data models and has been translated into multiple languages. Mr. Silverston's company, Universal Mindful, LLC (www.universalmindful.com), focuses on the cultural, political, and human side of data management.

Len is also a fully ordained Zen priest and life coach. He provides training, coaching, corporate mindfulness workshops, and retreats through his organization, "Zen With Len" (www.zenwithlen.com).

Thomas C. Redman, “the Data Doc,” is President of Data Quality Solutions. He helps companies and leaders chart their courses to data-driven futures with special emphasis on quality, organizational structure, and analytics. His latest book, People and Data: Uniting to Transform Your Organization (Kogan Page 2023), urges companies to increase the power of their data programs by getting everyone. Tom has a Ph.D. in Statistics and two patents.