15th Annual MIT CDOIQ Symposium, July 20-22, 2021 (Virtual) |
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The MIT CDOIQ Symposium is the most prominent CDO and Information Quality event in the world. Nearly 1,900 CDOs and Data Leaders globally have already registered for the Symposium. Our agenda includes 80 sessions and 3 keynotes with a line-up of truly outstanding speakers and content.
LAST CHANCE: 75% VIRTUAL DISCOUNT
Use code MITCDOIQGift75% at check-out
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Author Michael A. Cusumano, Deputy Dean of the MIT Sloan School of Management, will be joining us for the Symposium welcome session on July 20th.
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2021 Symposium Attendee Demographics |
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Click here to view and access the most recent 2021 MIT CDOIQ Symposium Demographic Dashboard. You may also drilldown the dashboard by clicking on any point within any graph or chart that you’re interested in.
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Agility, Dynamic Metadata & Self-service
Guillermo Guemez, CIO, Banorte, Mexico
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Customers expect personalized, consistent and value-added experiences across all products, services and channels.
Bringing together fragmented data to understand customers is virtually impossible without the fine-grained control of data that only metadata provides.
In today’s digital, data-intensive world, metadata needs to be dynamic and needs to regulate data processing, not just passively record the state of data.
With dynamic metadata, businesses can achieve agility by automating data pipelines, providing transparency and control over data processing.
Dynamic metadata significantly accelerates enterprise sales and marketing efforts, cloud computing adoption, and risk management. It also improves controls over line-of-business operations.
Ed Sheehy will lead a panel discussion of Ab Initio customers describing how they use dynamic metadata to control complex data ecosystems, provide agility, and unleash data’s business value.
Session 16C, 11:30am - 12:30pm, July 22, 2021
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Global Open Finance - a data-driven initiative to help governments, companies and the individual to make better economic and financial decisions
Chariman, FDATA Global, United Kingdom
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GOFCoE is an independent collaboration between governments and regulators, the financial services industry and academia, with the aim of using financial data and technology to deliver social and economic benefit to all corners of the globe. Using real financial data for social good and allowing governments, companies and people to make better economic and financial decisions is at the heart of the Global Open Finance Centre of Excellence. The power of data will be available to everyone including charities and consumer organizations helping them to get help to the people and businesses who need it most, when they need it. GOFCoE’s establishment is a timely initiative to develop ethics and trust frameworks for data sharing, improving security and privacy for individuals while realizing the benefits of data for all society.
Session 3D, 11:30am-12:30pm, July 20, 2021
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Operationalizing AI with Platforms
Juan Tello, CDO, Principal, Deloitte & Will Bible, CDO, Partner, Deloitte, USA
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As a leader in AI, Deloitte consistently helps our clients address their needs and thrive in respective market areas by harnessing the power of AI. When we asked ourselves the question of how we can apply the exponential power of AI to improve things that matter to us as a business, it opened up a number of exciting opportunities. While we have been on the AI journey for more than 5 years now, we amplified our AI investments over the last 2 years which accelerated the business outcomes. We successfully activated some key use-cases in our consulting and audit businesses around work force automation and AI driven intelligent delivery. In this session, we talk about our journey in operationalizing AI using our AI platform, CortexAI™ and deploying AI into Omnia, our audit & assurance platform, the use-cases we were able to successfully execute on, and the lessons we learned along the way.
Session 2B, 10:15am - 11:15am, July 20, 2021
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In partnership with Accenture, we have created this Chief Data Officer Survey 2021 that focuses on the ever-changing role of the CDO. As the CAO/CDO role becomes increasingly central to organizational strategy, this research is designed to take a pulse of what the position looks like today and how it may evolve in the near future. We value the input from this group and for this research to be relevant we need your help!
Please click here to take this anonymous survey – it should take no more than 10 minutes to complete. Please complete this survey at your earliest convenience and no later than June 23rd. Thank you in advance for your participation.
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CDO-1: Foundations for Chief Data Officers Certificate Program |
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Chief Data Officer's (CDO) role has rapidly emerged and is continuously evolving. This course examines the role of CDO as well as the concepts, models, techniques, and solution approaches across complex, interconnected systems that are at the core of CDO’s ability to uncover data-centric insights and solutions. More than ever data is a primary input to creating enterprise value and data are rarely used in its raw form. CDOs and data leaders often lead organizational efforts to prepare data for use by data consumers. Click here to view the tentative CDO-1 Syllabus.
Register for the CDO-1 Certificate Program, and you will receive a complimentary pass to the July CDOIQ Symposium! POC: cdoiq@mit.edu
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Transforming The Insurance Industry With Big Data, Machine Learning, And AI |
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By: Randy Bean
June 7, 2021
An emerging wave of “Insurtech” solutions companies are seeking to transform the business of insurance through the introduction of Big Data, Machine Learning, and AI capabilities.
When insurance providers tap into the vast repositories of Big Data that is available to them and combine this data with machine learning and AI capabilities, they can develop new policies that can reach new audiences. An April 2021 report published by GlobalData forecast that AI platform revenues within insurance would grow by 23% to $3.4 billion between 2019 and 2024.
It was in this context that I recently spoke with Paul Ford, Co-Founder and CEO of Traffk — one of the emerging Insurtech leaders that is employing Big Data, machine learning, and AI to help transform the insurance industry.
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MIT CDOIQ Consortium Member // MIT Alliance Sponsor |
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