15th Annual MIT CDOIQ Symposium, July 20-22, 2021 Virtual
Spring is in the air, and we are thrilled to share with you that we have 300 registrations already! This year we have a truly outstanding line-up of speakers and panelists to present, discuss, and share their insights in and around this year's theme of delivering mature data & analytics capabilities for ROI. We are back in 2021 to give you the tools and knowledge needed to evolve and accelerate your business.

50% discount: Register now (see below) with code 2021MITCDOIQ50% Offer expires on April 30, 2021.
Day 1 Opening Keynote
Archbishop Vincenzo Paglia
President of the Pontifical Academy for Life

Followed by Fr. Palo Benanti
Consultor Pontifical Academy for Life
Day 2 Keynote
Mark E. Krzysko, Principal Deputy, Acquisition Data and Analytics, Acquisition Enablers, United States Department of Defense, USA
This Keynote will address two issues: 1) Acquisition Data strategy (including analytics/data management) to improve acquisition outcomes and 2) Spurring Innovation through data strategy/organizations. Keynote Session 8, 9:00am - 10:00am, July 21, 2021
BIM, Digital Twin & Data Management
Mikitaka Hayashi
DAMA Regional Coordinator, Japan
BS/PAS1192 defines Building Information Modeling (BIM) to assess how well the data is structured and how extensively technology is used. It defines the evolution of the tangible asset information expression starting from paper/document-based models to data/information-based models. Digital Twin, on the other hand, is the exact reflection of reality. Each piece of the data represents an aspect of reality and vice versa. The poor data quality in Digital Twin would result in an inaccurate representation of true reality. BIM can be enhanced by adding alternate reality data (scenario data) expressing a multiverse, so-called "paradelle world." These enhancements of BIM or Digital Twin require careful planning and strong data management. This presentation will describe the steps to enhance BIM and Digital Twin, including data architecture, data integration, and data quality management. The presentation will include case studies of companies in Japan and the Asian region. Session 19E, 4:35pm - 5:35pm, July 22, 2021.
Upgrade Your Professional Credential with a
Graduate Degree in Information Quality
The University of Arkansas at Little Rock currently offers an online Graduate Certificate. Dr. John Talburt is working with the Graduate School to qualify the CDO-1 Certificate Program as part of the University's "Prior Learning Credit" (PLC) Program. Under the proposed PLC Program, students could count the completion of the CDO-1 Certificate together with other professional experiences as a graduate course credit toward the Graduate Certificate. Students earning the PLC credit for CDO-1 would only need 3 online courses to earn the Graduate Certificate. Click here for details to upgrade your professional credential. Congratulations to Dr. Talburt for winning the “We HEART Our Faculty Award” and the “I HEART Graduate Faculty Award!” These awards are given by Student Government Association and the Graduate Student Association to recognize faculty members for outstanding student mentoring and advising.
7 lessons to ensure successful machine learning projects
By: Sarah Brown
April 6, 2021

Every organization has machine learning opportunities, but finding the right team and the right uses can be a challenge.
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