15th Annual MIT CDOIQ Symposium, July 20-22, 2021 (Virtual) |
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The MIT Chief Data Officer and Information Quality Symposium (MIT CDOIQ) is one of the most impactful events for sharing and exchanging cutting-edge ideas, content, and discussions regarding information quality and the emerging role of the CDO. The purpose of the MIT CDOIQ Symposium is to disseminate the latest advances in the information quality field and facilitate the wide-scale adoption of the critical role of the CDO in all industries and all countries. This year, again, the Symposium aims to help you gain knowledge and the tools necessary for dramatically improving the performance of your organization and making a difference in the world. We anticipate that over 2,000 CDOs, IT executives, and data leaders will attend this year's Symposium. More than 500 of them have already registered, and seats are filling up quickly. Please register early and be part of this official MIT event!
30% discount: Register now with code 2021MITCDOIQ30%
Offer expires on May 31, 2021.
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MIT CDOIQ Program Presents |
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Data Sharing: Strategies for an Uncertain World
in collaboration with Privacy Analytics
Two sessions on Wednesday, May 19:
10 a.m. ET (90 min) + post-event networking (30 min)
1 p.m. ET (90 min.) + post-event networking (30 min)
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What challenges and opportunities do you face when attempting to leverage and share sensitive data to drive innovation and increase ROI?
- internal data access (e.g. bridging department silos for improved data access)
- external data sharing (e.g. providing strategic partners with insight-rich data for vital research).
Learn and share with senior-level data and analytics leaders from across multiple industries, in both the private and public sectors, during your choice of two pitch-free, invite-only sessions.
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Leading Innovation Through Responsible Data Sharing
Sarah Lyons, General Manager, Privacy Analytics, Canada
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Data-driven insights are critical to addressing the challenges the current pandemic has introduced, and data access and sharing are necessary features to collaboration and innovation. As pharmaceutical companies focus their efforts on rapid change and development to address this, we have an incredible opportunity to learn.
Companies that are succeeding with their data sharing strategies can show:
- Which analytics can be applied to create value
- Where to focus application or infrastructure development
- How to defend critical data from attacks
- What it takes to persuade regulators that data is safe to access and share
Join Sarah Lyons, General Manager at Privacy Analytics, one of the world’s leading data transformation companies, as she and a guest – a leader in transformational data strategies from the pharmaceutical space – explore the insights and experiences we’ve learned so far. Keynote Session 3, 9:00am - 10:00am, July 21, 2021
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Data Exchange & Data Marketplaces: Opportunities, Challenges & Lessons Learned
Didier Navez, Senior Vice President Strategy
& Alliances, Dawex, France
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Data sharing, data partnerships and data monetization are increasingly considered as critical components of any data strategy, capable of generating substantial economic benefits to private and public organizations and to society in general.
Whether it is for reducing operational costs, driving new revenue streams or for generating benefits for the common good facilitated access to data and secure data exchanges within trusted data marketplaces are real game changers.
In this facilitated Session, two panels of innovative leaders and experts from the private and public sector, who are engaged in data exchange and data marketplace initiatives, will share their views and experience in building business cases, getting executive buy-in, defining effective business and operational models, and more generally advancing the data exchange agenda within their organizations or institutions.
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Spreading an Analytical Culture at a Multi-Company Conglomorate
Ivan Herrero, CDO, Intercorp, Peru &
Guillaume Thfoin, Head of Data & Analytics, Majid AI Futtaim, United Arab Emirates
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Today, Big Data, Machine Learning and AI are omnipresent concepts in boardrooms. Rightfully so as these new tools are critical to succeed in today’s increasingly digital, connected, complex and competitive world. In this talk you will learn about what it takes to build a large-scale analytics practice from scratch at a multi-company conglomerate, from the complementary perspectives of Intercorp and Majid Al Futtaim, leading multi-sector corporations in Peru and the Middle East, respectively, with over USD 7 billion annual revenue each. Choosing your first battles, building and governing a cross-company single customer view, deploying and scaling skills… Don’t miss out! Session 17E, 2:00pm - 3:00pm, July 22, 2021 |
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3 ways digital initiatives create value |
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By: Sarah Brown
April 15, 2021
Companies in the midst of digital transformation need to track the right metrics — such as how they are gaining value from customers, operations, and ecosystems.
As they develop digital initiatives, companies should aim to create and track three types of value, according to a new research briefing from the MIT Center for Information Systems Research: value from operations, value from customers, and value from ecosystems.
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Machine learning, explained |
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By: Sarah Brown
April 21, 2021
This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how it’s being used.
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MIT CDOIQ Consortium Member // MIT Alliance Sponsor |
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