Final Call for 2023 CDOIQ Symposium
The 17th Annual CDOIQ Symposium (previously hosted at MIT) will be held onsite at Hyatt Regency Cambridge Hotel (next to MIT) and live-streamed virtually from July 18-20th, 2023. More than 1,000 CDOs, Data Leaders, and C-Suite Officers from around the world have already registered. Don't miss the opportunity to join other Data Leaders. To create maximum impact, we are offering the following discounts (expires 6/30/2023).

  • On-site code: CDOIQFinalOnsite30%
  • Virtual code: CDOIQFinalVirtual50%
Pre-Symposium Tutorials
We are thrilled to announce Pre-Symposium tutorials that will be offered on July 17th, 2023 at Hyatt Regency Hotel. These half-day sessions are designed to provide an in-depth understanding of topics such as data mesh and data fabric:
  1.  It is free for CDO-1 Certificate Program Participants. CDO-1 sessions will be hosted in conjunction with these Pre-Symposium tutorials.
  2. For those who registered for on-site Symposium but not CDO-1 Certificate Program, click here for agenda and special discounts.
New Knowledge Sponsorship
We are thrilled to introduce Knowledge Sponsorship to benefit our Symposium delegates. Designed for business and data leaders to interact and consult with industry experts and received advise. These sessions will occur for 3 days (July 18 - July 20). Please leverage this free consultation opportunity by clicking here to view and schedule an appointment today.
DataIQ 100: The Most Influential People In Data
The first and only fully-curated power list of the most influential data and analytics practitioners. Since 2014, DataIQ has been tracking the rise of chief data officers, chief analytics officers, data scientists, data governance experts and the leaders of key vendors and service providers.

Inclusion in the DataIQ 100 is a notable badge of honour that is widely referenced by the individuals who make the cut. Categories and selection criteria explained here.
Featured Speaker

Juan Tello, US Chief Data Officer & Principal, Deloitte Consulting LLP

Abstract: Data – overly simple, yet highly complex; insightful, but perpetually nuanced. This intricate balance can make it difficult for AI and Data Executives to fully achieve bold ambitions. But…what if all of the data metaphors we know are wrong? Join our thought provoking discussion on the future of data, what it means to leadership, the role of the CDO, operating models and data teams. Not only will we discuss how to measure value, but we’ll delve into the agility considerations for the tactical and strategic needs of your organization. This is one session you do not want to miss!