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Richard Y. Wang is Director of the Chief Data Officer and Information Quality (CDOIQ) Program. He is a pioneer and leader in the research and practice of Chief Data Officer (CDO). Dr. Wang has significant credentials across government, industry, and academia. He conceived and chaired the Inaugural MIT-Army CDO Forum, and established the CDO Forum as an annual event at MIT. In addition, he has been chairing the Annual MIT CDOIQ Symposium since 2007. Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. From 2005-2009, he was appointed as a Visiting University Professor of Information Quality, University of Arkansas at Little Rock. He is an Honorary Professor at Xi’An Jiao Tong University, China. Dr. Wang has put the term Information Quality on the intellectual map with myriad publications. In 1996, Prof. Wang organized the premier International Conference on Information Quality, which he has served as the general conference chair and currently serves as Chairman of the Board. Dr. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999). Prof. Wang has been instrumental in the establishment of the Ph.D. and Master of Science in Information Quality degree program at the University of Arkansas at Little Rock, the Stuart Madnick IQ Best Paper Award for the International Conference on Information Quality, the comprehensive IQ Ph.D. dissertations website, and the Donald Ballou & Harry Pazer IQ Ph.D. Dissertation Award. Dr. Wang is the recipient of the 2005 DAMA International Achievement Award. Previous recipients of this award include Codd for inventing the Relational Data model and Chen for the Entity Relationship model. In 2005, he received a certificate of appreciation from the Director of Central Intelligence and a thank you letter from the Director of National Intelligence. From 2009-2011, Dr. Wang served as the Deputy CDO and Chief Data Quality Officer of the U.S. Army, for which he received letters of appreciation from the Army’s Chief Information Officer, and the CIO at the Office of the Secretary of Defense. He received a Ph.D. in Information Technology from the MIT Sloan School of Management in 1985.

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Founder and CEO of Robo Garage, Visiting Professor of Osaka Electro-Communication University and former Research Associate Professor of The University of Tokyo. Developed robot astronaut “Kirobo”, robot smartphone “RoBoHoN”, kit magazine “Robi”, Panasonic TVCM “EVOLTA” and RoboCup winner “VisiON”. Awards: TIME magazine ‘Coolest Inventions 2004’, Popular Science magazine ‘33 persons changing the future’, 5 Guinness World Records for Evolta and Kirobo, and Robo-cup world champion 2004-2008.

Born in Hyogo Prefecture in 2000. Graduated from the Faculty of Fine Arts at Tokyo University of the Arts and is currently enrolled in the Graduate School of Advanced Studies in Arts and Sciences at the University of Tokyo. Engaged in research that spans the fields of painting and artificial intelligence. His abstract paintings, themed around “new landscapes” that incorporate his unique interpretations of time and gravity, have attracted attention since his time at Tokyo University of the Arts, winning numerous awards including “Art Olympia 2022,” “Geidai Art Plaza Award,” and “Tokyo University of the Arts Art Festival Excellence Award.” In 2024, as an emerging artist, he held a solo exhibition at Ginza GSIX, which sold out about an hour after opening. In 2025, he held a large-scale solo exhibition spanning four floors, the first in the history of Hankyu Department Store.

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Richard Y. Wang is Director of the Chief Data Officer and Information Quality (CDOIQ) Program. He is a pioneer and leader in the research and practice of Chief Data Officer (CDO). Dr. Wang has significant credentials across government, industry, and academia. He conceived and chaired the Inaugural MIT-Army CDO Forum, and established the CDO Forum as an annual event at MIT. In addition, he has been chairing the Annual MIT CDOIQ Symposium since 2007. Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. From 2005-2009, he was appointed as a Visiting University Professor of Information Quality, University of Arkansas at Little Rock. He is an Honorary Professor at Xi’An Jiao Tong University, China. Dr. Wang has put the term Information Quality on the intellectual map with myriad publications. In 1996, Prof. Wang organized the premier International Conference on Information Quality, which he has served as the general conference chair and currently serves as Chairman of the Board. Dr. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999). Prof. Wang has been instrumental in the establishment of the Ph.D. and Master of Science in Information Quality degree program at the University of Arkansas at Little Rock, the Stuart Madnick IQ Best Paper Award for the International Conference on Information Quality, the comprehensive IQ Ph.D. dissertations website, and the Donald Ballou & Harry Pazer IQ Ph.D. Dissertation Award. Dr. Wang is the recipient of the 2005 DAMA International Achievement Award. Previous recipients of this award include Codd for inventing the Relational Data model and Chen for the Entity Relationship model. In 2005, he received a certificate of appreciation from the Director of Central Intelligence and a thank you letter from the Director of National Intelligence. From 2009-2011, Dr. Wang served as the Deputy CDO and Chief Data Quality Officer of the U.S. Army, for which he received letters of appreciation from the Army’s Chief Information Officer, and the CIO at the Office of the Secretary of Defense. He received a Ph.D. in Information Technology from the MIT Sloan School of Management in 1985.

Noriko Rzonca is a dynamic data science and digital transformation (DX) strategy expert with over 20 years of leadership experience in the insurance, banking, and energy industries. As Chief Digital Officer of Cosmo Energy Holdings, she has led the company’s digital transformation efforts, including driving oil refinery digital twin projects, enhancing employee digital upskilling initiatives, and facilitating DX projects such as DX Hub. She has also spearheaded the establishment of data governance and a data-driven business environment at the enterprise level. Previously, Noriko held senior roles at Citi Group, MetLife Japan, and Sony Bank, where she led integrated marketing, branding, and pricing initiatives. Her expertise in data science, CX design, and global services strategy development has positioned her as one of Japan’s most respected thought leaders in the areas of DX and change management. Noriko holds a Ph.D. in Psychology from Utah State University, with a focus on research and evaluation methodology. A strong advocate for data-driven decision-making, she frequently speaks at conferences globally. Beyond her professional life, Noriko serves as a Management Councilor at Shiga University and previously served as a member of Japan’s Cabinet Office’s Working Group for the Establishment of a Mathematics, Data Science, and AI Higher Education Programs Certification System, supporting data literacy cultivation among students in Japan. In her free time, she enjoys traveling and spending time with her husband and son.

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Richard Y. Wang is Director of the Chief Data Officer and Information Quality (CDOIQ) Program. He is a pioneer and leader in the research and practice of Chief Data Officer (CDO). Dr. Wang has significant credentials across government, industry, and academia. He conceived and chaired the Inaugural MIT-Army CDO Forum, and established the CDO Forum as an annual event at MIT. In addition, he has been chairing the Annual MIT CDOIQ Symposium since 2007. Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. From 2005-2009, he was appointed as a Visiting University Professor of Information Quality, University of Arkansas at Little Rock. He is an Honorary Professor at Xi’An Jiao Tong University, China. Dr. Wang has put the term Information Quality on the intellectual map with myriad publications. In 1996, Prof. Wang organized the premier International Conference on Information Quality, which he has served as the general conference chair and currently serves as Chairman of the Board. Dr. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999). Prof. Wang has been instrumental in the establishment of the Ph.D. and Master of Science in Information Quality degree program at the University of Arkansas at Little Rock, the Stuart Madnick IQ Best Paper Award for the International Conference on Information Quality, the comprehensive IQ Ph.D. dissertations website, and the Donald Ballou & Harry Pazer IQ Ph.D. Dissertation Award. Dr. Wang is the recipient of the 2005 DAMA International Achievement Award. Previous recipients of this award include Codd for inventing the Relational Data model and Chen for the Entity Relationship model. In 2005, he received a certificate of appreciation from the Director of Central Intelligence and a thank you letter from the Director of National Intelligence. From 2009-2011, Dr. Wang served as the Deputy CDO and Chief Data Quality Officer of the U.S. Army, for which he received letters of appreciation from the Army’s Chief Information Officer, and the CIO at the Office of the Secretary of Defense. He received a Ph.D. in Information Technology from the MIT Sloan School of Management in 1985.

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Hitoshi Shibasaka has worked in corporate administration and internal systems development at Nose Steel Co., Ltd. In 2019, he launched a joint research project with the Shiga University DEML Center on multi-truck delivery route optimization. He later entered the Master’s Program at the Graduate School of Data Science, Shiga University, and in July 2022 founded Dknowledge Inc., a university-certified startup, to bring the research outcomes into practical use. Based on the optimization algorithms developed through the joint research and refined through field validation, he released the delivery optimization application “Hi-SIA” in October 2025. His work focuses not only on automating manual dispatching and addressing Japan’s 2024 logistics labor regulation issue, but also on promoting data utilization for small and mid-sized businesses beyond the logistics sector.

Dr. Mark Ramsey is a globally recognized authority in modern data platforms, large-scale analytics architecture, and the strategic application of Generative AI. With over 35 years of experience, Mark has designed, delivered, and optimized some of the world’s most impactful enterprise data platforms, enabling organizations to accelerate innovation and unlock transformative business value. As Managing Partner of Ramsey International, Mark leads the design and deployment of advanced data and AI solutions for global enterprises seeking to maximize the potential of their data assets. He is renowned for his expertise in architecting and operationalizing modern, hybrid multi-cloud data platforms that support analytics, machine learning, and the latest advances in Generative AI. Mark’s leadership was instrumental in the rapid delivery of AbbVie’s award-winning ARCH (AbbVie Research Convergence Hub) platform, a modern, cloud-based data ecosystem developed by Mark and the RI team. This platform broke down silos and doubled R&D productivity by accelerating drug discovery and clinical innovation. Recognized by Bio-IT World for its innovative practices, ARCH exemplifies Mark’s ability to deliver production-grade, scalable platforms that drive measurable impact in highly regulated, data-intensive industries. Additionally, Mark and the RI team have worked with more than half of the Top 10 pharmaceutical organizations in the design and delivery of their large-scale modern data platforms, and have also worked with organizations in finance, insurance, telco, retail, healthcare, and government. Previously, Mark served as the first R&D Chief Data & Analytics Officer at GlaxoSmithKline, where he architected the R&D Information Platform (RDIP) as a cornerstone of GSK’s data-driven strategy. As the inaugural Chief Data Officer for Samsung Telecommunications America, he led the development of large-scale analytics solutions to drive business growth. At IBM, Mark spearheaded the global Business Analytics & Optimization business, scaling it to over $1 billion in annual revenue across 150 countries. A prolific inventor, Mark holds 28 patents in data analytics, optimization, and AI, including foundational work on integrating data mining with parallel relational databases and advanced analytics for user behavior monitoring. He is a trusted advisor to CDOs and technology leaders navigating the rapidly evolving landscape of Generative AI and enterprise data strategy. Mark holds a Ph.D. in Applied Computer Science, a Master’s in Computer & Information Security, and a Bachelor’s in Computer Science. His technical depth, visionary leadership, and proven track record in delivering large-scale, modern data platforms make him one of the most sought-after experts in the field today.

Dr. Thomas C. Redman, “the Data Doc,” President of Data Quality Solutions, helps companies of all sizes, chart their courses to data-driven futures, with special emphasis on quality and analytics. Tom’s recent book, People and Data: Uniting to Transform Your Business (Kogan Page Publications, July 2023) makes the transformational advice that companies must get everyone involved in their data programs. He has a Ph.D. in Statistics and two patents.

Since January 2023, he has been serving as the Executive Officer of IT at Japan Tobacco Inc. (JT), spearheading the technology strategy across the JT Group as Group CIO. Prior to joining JT, he held various key IT roles within the pharmaceutical industry, gaining experience in both domestic and international settings. Additionally, he served as a board member for a U.S.-based nonprofit organization and co-founded a global healthcare startup.

March 1969 (Showa 44) Graduated from Kyoto Sangyo University, Faculty of Economics, Department of Economics. 1970 (Showa 45) Participated in the establishment of Shiga Prefecture’s first computer vocational school, in response to the rise of higher education and the information society. Later, recognizing the need for a system to accept computer-related practical work, founded Nihon Soft Kaihatsu Co., Ltd. (Japan Software Development Co., Ltd.). Alongside acquiring patents related to regional informatization, multimedia technologies, and environmental support systems, aimed to become an information-disseminating company originating from the local region. February 1972 (Showa 47) Participated in the establishment of Nihon Soft Kaihatsu Co., Ltd. and appointed Director and General Manager of the Business Division. April 1976 (Showa 51) Appointed Managing Director and concurrently General Manager of the Sales Headquarters. April 1979 (Showa 54) Appointed Senior Managing Director, concurrently General Manager of the Sales Division and Branch Manager of the Osaka Branch. November 1981 (Showa 56) Concurrently served as Manager of the Tokyo Sales Office, later as Branch Manager of the Tokyo Branch. August 1987 (Showa 62) Appointed President and Representative Director of Nihon Soft Kaihatsu Co., Ltd. August 2015 (Heisei 27) Appointed Chairman and President (Representative Director) of Nihon Soft Kaihatsu Co., Ltd. August 2019 (Reiwa 1) Appointed Chairman (Representative Director) of Nihon Soft Kaihatsu Co., Ltd. (position held to the present). Other: Holds public office positions

After spending 11 years at McKinsey involved in a wide range of product and business development and brand revitalization, he served at Yahoo from 2008 and as CSO for 10 years from 2012, and has been a Senior Strategist at Z Holdings (now LINE Yahoo Japan Corporation) since 2022. He has been teaching at Keio University SFC since 2016 and has held his current position since autumn 2018. He is a board member and Skills Definition Committee Chair of the Data Scientist Association. He is also the representative of the general incorporated association, ‘A Future Worth Preserving.’ He has participated in many national committees related to science, technology, and data × AI. He holds a PhD in Neuroscience from Yale University. His publications include ‘Start with the Issue’ (Eiji Publishing), ‘Shin Nihon’ (NewsPicks), and ‘A Hope Called “Valley of the Wind”—Creating a Future Worth Preserving’ (Eiji Publishing), among others.

Mohammed Aaser is Domo’s chief strategy officer, where he helps Domo and its customers build innovative data apps and modern data experiences that accelerate key business processes and optimize strategic outcomes. He also works closely with the company’s data and technology partners to extend the power of Domo’s robust ecosystem of integrations. Prior to Domo, Mohammed was CDO at McKinsey and Company, where he championed the strategic use of data across thousands of client initiatives in all industries. He led the firm’s data innovation capabilities, accelerating development of data apps by combining deep industry knowledge with cutting-edge data sets, data management technology and data engineering. He also helped launch and build McKinsey’s analytics practice – focused on helping companies scale their data and AI initiatives – and served as the practice’s head of operations and strategy. Prior to McKinsey, Mohammed held leadership roles at Ameriprise Financial, where he led the organization’s marketing strategy and analytics transformation. Mohammed received his bachelor’s degree from the University of Minnesota and an MBA from Harvard University.

Graduate School of Science, The University of Tokyo – Department of Physics (Experimental Particle Physics). Master of Science. 2003 – Joined Nippon Steel Solutions (NSSOL), engaged in research and development at the System Research and Development Center, focusing on application architecture and search engines. Obtained patents. 2013 – Earned an MBA from Purdue University (USA). After returning to Japan, contributed to the formulation of NSSOL’s technology strategy in the Technology Strategy Planning Department. 2015 – Took responsibility for launching the DataRobot business, driving AI adoption at more than 100 companies. 2017 – Awarded the inaugural DataRobot Partner of the Year MVP. 2020 – Appointed General Manager of the AI Solutions Department. While serving as General Manager, also engaged in consulting on AI utilization for pharmaceutical companies, financial institutions, and manufacturers. April 2025 – Appointed Director of the Advanced Technology Offering Center. Would you like me to refine this into a short professional bio (for use in symposium programs or speaker introductions), or keep it as a detailed résumé-style timeline?

John R. Talburt, PhD, IQCP, CDMP, is the Acxiom Chair of Information Quality and Director of the Information Quality Graduate Program at the University of Arkansas at Little Rock. Previously, he led the Data Research and Development group for Acxiom Corporation where he implemented their Total Data Quality Management program. He is a member of the U.S. Technical Advisory Group (TAG) to the International Organization for Standardization (ISO) in data quality, and Lead Data Governance Consultant for Noetic Partners. He is an inventor for several patents related to customer data integration and the author of numerous research papers on information quality and entity resolution. His books include “Entity Information Life Cycle for Big Data: Master Data Management and Information Integration” (Morgan Kaufmann, 2015), “Entity Resolution and Information Quality” (Morgan Kaufmann, 2011), “Data Engineering: Mining, Information and Intelligence” (Springer, 2010), and “Information Quality and Governance for Business Intelligence” (IGI Global, 2014).

Ms. Dember is credited as one of the founding principles of Data Governance, having published the first Data Governance Maturity Model at DAMA Conference in 2004. Since then, she has published works on Data Analysis and has both lectured and taught courses at conferences both domestically and abroad. She has been responsible for transforming business analytics into solutions that provide actionable information to drive business growth, Customer and Consumer insights, as well as developing strategic working relationship between IT and the business units supported within the organization. Ms. Dember is considered an industry thought leader in all aspects of data management along with Business Intelligence and Big Data & Analytics. Currently, Ms. Dember provides advisory consulting services to organizations that are looking for assistance in growing their capabilities, need direction on resolving issues or figuring out priorities, or providing insight to current/future trends.

To accelerate Digital Transformation, organizations must view technology not merely as a tool for cost reduction, but as a strategic investment that drives growth. This requires a management framework that consistently aligns investment planning, execution, and value realization. Technology Business Management (TBM), adopted by CIOs, CDOs, and CFOs around the world, is a global standard framework promoted by the nonprofit TBM Council. It provides a scientific and structured approach to decision-making for technology investments. By leveraging TBM, organizations can optimize their strategic investment portfolios, visualize their end-to-end technology spend—including cloud and AI—and establish a management cycle that maximizes ROI. TBM enables companies to build a sustainable technology management foundation that connects investment decisions with business outcomes, ensuring that Digital Transformation does not remain a one-time initiative. Starting this year, TBM Council has expanded its activities in Japan, accelerating adoption across domestic enterprises.

Masahiro Asakawa is a TBM Evangelist at the TBM Council Japan and Director of Customer Success at Apptio. He began his career at IBM Japan in 2008, working as a systems engineer and later leading multiple Digital Transformation programs as a consultant and project manager. In 2020, he became Executive Officer and Head of the Digital Business Division at IBM Japan Digital Services, driving company-wide digital transformation. Since 2024, he has focused on helping organizations increase transparency in technology investments and apply TBM as a “common language” that connects CIOs, CFOs, and business leaders. He promotes practical approaches for shifting IT from a cost center to a strategic asset.

Chaima Dhaheri is the AI Team Lead in the Digital Innovation Section at JERA Co., Inc., where she designs and implements cutting-edge AI solutions to address complex business challenges, including applications of generative AI. She joined JERA in 2019 after serving as a Senior Researcher at KDDI Research Institute. Chaima holds a Ph.D. in Applied AI and Machine Learning from Keio University.

Previously, I served as a bureaucrat involved in information and communications administration and postal administration at the Ministry of Internal Affairs and Communications. Currently, I work at NTT DATA Institute of Management Consulting, engaging in medium- to long-term growth strategy planning, new business development, and DX projects. I focus on promoting technology-driven business development with an emphasis on AI and robotics, formulating DX strategies in traditional industries, driving DX promotion and organizational transformation, and coordinating with policy and institutional frameworks. the judge for the Sports Agency’s Sports in Life Award, Co-representative of the Social Innovation Alliance Japan Denmark (SIA), and a member of the Ministry of Internal Affairs and Communications DX Promotion Advisory Board. I have authored books such as “My Number: Social Security and Tax Number System — Challenges and Prospects” and “Corporate Strategy and Practice in the Age of Social Media.”

B.A.(Environmental Information), Keio University in 2007. After gaining experience through internships in Canada, joined TEIKOKU DATABANK, LTD. in 2009. Deputy Director of the Data Engineering and Machine Learning Center. Deputy Director of TDB Center for Advanced and Empirical Research on Enterprise and Economy (TDB-CAREE).

We all recognize that monetizing data creates advantage in a digital economy, yet few understand how to do that well. Doug does—in fact, he originated the field of “infonomics” – the economics of information. His innovative ideas and best-selling books, Infonomics and Data Juice, have helped organizations uncover billions of dollars of untapped value in their data assets. Many senior IT, business, and data leaders have sought Doug’s expertise on the topics of data monetization and valuation, data management and governance, open and syndicated data, analytics best practices, and big data-based innovation. He is a frequent featured speaker at industry conferences and author in The Wall Street Journal, Forbes, and The Financial Times, among other journals. Today, he uses his knowledge to raise the level of data fluency across our organization and create offerings related to data value and valuation. Doug is currently an independent executive advisor, on the faculty at the University of Illinois and Carnegie Mellon universities, and a research fellow with BARC. He spent the bulk of his career as a distinguished analyst with Gartner’s Chief Data Officer Research & Advisory team and is a three-time recipient of Gartner’s annual Thought Leadership Award. In previous roles, he launched and managed the Deloitte Analytics Institute, and worked with pioneering AI technology providers. He earned a bachelor’s degree in software engineering and business administration from the University of Illinois at Urbana-Champaign.

Masashi Suwa is a Chief Technology Officer(CTO) at CAC identity. Previously held Engineering roles at a major system integrator, global IT firm, and served as a Chief Strategy Officer(CSO) at Empath Inc acquired by CAC Holdings later. Currently leading numerous new business development initiatives and AI-related projects. Has been engaged in research and development of voice emotion recognition AI for many years. Graduated from the Faculty of Science and Engineering at Keio University and the Department of Management at London School of Economics and Political Science.

Fumika Nishida is a leader of the R&D team at CAC identity. She conducts research on emotion recognition AI and affective science, exploring these fields from both psychological and philosophical perspectives. She earned her Master’s degree in Human Sciences at Osaka University.

Dr. Hiroki Shibasaki earned his Ph.D. (Engineering) in 2016 and began his professional career at Sompo Japan Insurance Inc., where he specialized in automobile insurance product operations. In 2017, he joined Sompo Holdings Inc. as part of SOMPO Digital Lab, leading multiple Proof-of-Concept (PoC) initiatives focused on digital transformation in the automotive and insurance sectors. His work included advanced projects utilizing drive recorders and IoT technologies to enhance traffic safety and monitor senior driving behavior, achieved through cross-functional collaboration across the Group and with external stakeholders. Dr. Shibasaki also played a pivotal role in SOMPO’s global innovation strategy, establishing the company’s first overseas innovation hub in Israel—an industry-first initiative. There, he engaged in business development and strategic investment due diligence in partnership with local startups and venture capital firms. From 2021 to 2023, he studied at the University of Hawai‘i at Mānoa, Shidler College of Business, as a company-sponsored scholar, earning an MBA and a Certificate in Entrepreneurship. Upon returning to SOMPO Digital Lab in 2023, he served as Chief of Staff (CoS) to Executive Vice President Koichi Narasaki, overseeing strategic planning and leading the launch of the Value Creation Unit (VCU) at SOMPO Light Vortex Inc., as well as business development initiatives at REVortex, Inc. Since August 2025, Dr. Shibasaki has continued as CoS in the Business Development Dept. at SOMPO Holdings, contributing to the Group’s growth through new business incubation, digital strategy, and ecosystem innovation. He is a recipient of the Sompo Japan President’s Award and so on. He also has held academic positions at Meiji University and at Waseda University.

Founder, CEO and Principal Consultant of Gavroshe. Former Chief Data Officer at TD Ameritrade for approximately 5 years; was responsible for Data Governance, Data Science & Advanced Analytics, Data Architecture & Management, and Development and Maintenance of Enterprise-class Data Assets. A career of over 3 decades, mainly in the Data Management and Information Resource Management (IRM) fields. Established Office of the CDO, Data Resource Management, Architecture and IRM Functions in multiple large Corporations. Established and managed numerous enterprise programs and initiatives in the domains of Big Data, Advanced Analytics, Business Intelligence, Data Warehousing, Data Quality Improvement and IRM. Bill Inmon’s Corporate Information Factory and John Zachman’s Enterprise Architecture Framework have been the foundational cornerstones of the above work. Served as VP Programs for DAMA SW Ohio. Active member of MIT’s Chief Data Officer initiatives, and Founding Member of the International Society of Chief Data Officers. Co-authored “DW 2.0: The Architecture for the Next Generation of Data Warehousing” Inmon, Strauss and Neushloss (Book published 2008 by Morgan Kaufman, Series in Data Management Systems).

Richard Y. Wang is Director of the Chief Data Officer and Information Quality (CDOIQ) Program. He is a pioneer and leader in the research and practice of Chief Data Officer (CDO). Dr. Wang has significant credentials across government, industry, and academia. He conceived and chaired the Inaugural MIT-Army CDO Forum, and established the CDO Forum as an annual event at MIT. In addition, he has been chairing the Annual MIT CDOIQ Symposium since 2007. Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. From 2005-2009, he was appointed as a Visiting University Professor of Information Quality, University of Arkansas at Little Rock. He is an Honorary Professor at Xi’An Jiao Tong University, China. Dr. Wang has put the term Information Quality on the intellectual map with myriad publications. In 1996, Prof. Wang organized the premier International Conference on Information Quality, which he has served as the general conference chair and currently serves as Chairman of the Board. Dr. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999). Prof. Wang has been instrumental in the establishment of the Ph.D. and Master of Science in Information Quality degree program at the University of Arkansas at Little Rock, the Stuart Madnick IQ Best Paper Award for the International Conference on Information Quality, the comprehensive IQ Ph.D. dissertations website, and the Donald Ballou & Harry Pazer IQ Ph.D. Dissertation Award. Dr. Wang is the recipient of the 2005 DAMA International Achievement Award. Previous recipients of this award include Codd for inventing the Relational Data model and Chen for the Entity Relationship model. In 2005, he received a certificate of appreciation from the Director of Central Intelligence and a thank you letter from the Director of National Intelligence. From 2009-2011, Dr. Wang served as the Deputy CDO and Chief Data Quality Officer of the U.S. Army, for which he received letters of appreciation from the Army’s Chief Information Officer, and the CIO at the Office of the Secretary of Defense. He received a Ph.D. in Information Technology from the MIT Sloan School of Management in 1985.