The 15th Annual MIT CDOIQ Symposium
The MIT Chief Data Officer and Information Quality Symposium is back for its 15th year. Data leaders from around the world converge to share knowledge, insights, best practices and challenges around being a data-driven leader. The symposium is focusing on the management and leadership of this critical element for the 21st century that will benefit every organization.
Traditionally the symposium is held on campus at MIT in Cambridge. However, due to the global pandemic, starting in 2020 the event has taken place in a virtual format. Organizers have confirmed that they will return to a real-world format in 2022. Attendees will still have the option to participate virtually from all over the globe.
When is the MIQ CDOIQ Symposium 2021?
The symposium will be held July 20, 2021—July 22, 2021.
Where can I see the MIT CDOIQ Symposium 2021?
This year the MIT CDOIQ Symposium will be held virtually due to the global pandemic. Typically the event is held on-campus at MIT. Now anyone from around the globe may tune in to the quintessential event for data and analytics leaders.
Where can I get tickets to MIT CDOIQ?
Tickets are available through the organizer’s website. We will also be giving away a limited amount of complimentary tickets leading up to the event. Register to MIT CDOIQ using the button below.
Hear Joe Caserta talk at the MIT CDOIQ Symposium
View session: https://mitcdoiq.org/events/session-15b/
MAKE A DATA MESH, NOT A DATA MESS: A CDO’S GUIDE
A fairly new concept in the industry, Data Mesh is an exciting new approach for designing and developing data architectures that challenges the status quo of centralized data platforms and advocates for a decentralized domain-driven design. Joe Caserta, thought-leader and authority on enterprise data solutions, shares information you need to decide if a Data Mesh is right for your business, and how to lead your company through a transformation without creating a data mess. Questions answered in this session include:
- Will my data organization have to change to support data mesh?
- How do I apply data governance to a data mesh?What does it mean to treat data as a product?
What does domain-driven design look like for data?
- Do I still need a data lake or a data warehouse?
As a CDO, the trend of data mesh architecture cannot be ignored, and with little to no real fully-baked information publicly available, this session wrestles key issues to the ground and provides an honest assessment of the disruption being caused by the data mesh approach. Business executives and technical leaders will benefit from the practical use cases shared throughout this session.