CDOIQ Newsletter, October 2024, Vol. I

Inviting Senior Data Leaders

to Speak at the CDOIQ Symposium

The preparation for the 2025 CDOIQ Symposium is now in full swing! The symposium will be held from July 15–17, at the Hyatt Regency Hotel in Cambridge Massachusetts.

Started in 2006 and previously held at MIT, the Annual CDOIQ Symposium has evolved into the premier global event for data leaders. Our mission is to bring together senior data leaders to share insights, explore emerging trends, and exchange best practices.

Chief Data Officers (CDOs) from Fortune 500, S&P 500, Global 2000, and Public Sector are very cordially invited to speak on topics such as data strategy, Gen AI, the evolving role of data leadership, or any areas of their expertise.

See the Speaker's Kit here.

We use the term CDO to refer to Chief Data Officer, Chief Digital Officer, Chief Data and Analytics Officer, and Chief Data and AI Officer, highlighting the growing perception of data and AI working together in a rapidly evolving landscape.

This is a great opportunity for you to engage with fellow data leaders and to help shape the future of the data leadership field. If you're interested in volunteering as a speaker, we’d love to have you contribute to the discussions

Inviting Sponsors to the 2025 CDOIQ Symposium

Be part of the longest-running data leadership conference! As a sponsor, you'll gain invaluable exposure to a diverse audience of data leaders, decision-makers, influencers, as well as business and contract leads.

How Verizon Uses Data, Analytics, And AI To Deliver Responsible AI That Drives Innovation

by: Randy Bean

An innovator in telecommunications, Verizon is leveraging data and AI as one of the foundations for its innovation journey. To ensure its leadership position and sustain its ongoing innovation path, Verizon appointed Kalyani Sekar to the role of Senior Vice President and Chief Data Officer (CDO) in December 2022. 

For Verizon, the key to developing and sustaining leadership in the use of data and analytics is the application of artificial intelligence (AI) capabilities. Verizon has been on its AI journey for over a decade. Sekar explains, “We have come a long way from descriptive analytics to leveraging the combined power of GenAI. Today, Verizon is deploying a full spectrum of AI, including predictive/prescriptive AI with machine learning/deep learning algorithms and generative AI across functions within the company.”  

By leveraging AI, Verizon aims to deliver a simplified yet differentiated experience to its customers and employees, while improving operational agility and securing a sustainable competitive advantage. See more...

UA Little Rock Publication

An Information Quality Framework for

Managed Health Care

by: Grace Crossette-Thambiah, Daniel Berleant, Ahmed AbuHalimeh,

Department of Information Science, UALR

Data and information quality play a critical role in the managed healthcare sector, where accurate and reliable information is crucial for optimal decision-making, operations, and patient outcomes. However, managed care organizations face significant challenges in ensuring information quality due to the complexity of data sources, regulatory requirements, and the need for effective data management practices. The goal of this article is to develop and justify an information quality framework for managed healthcare, thereby enabling the sector to better meet its unique information quality challenges. See more...

Comprehensive Review for Healthcare Data Quality Challenges in Blockchain Technology

by: Ahmed AbuHalimeh, UALR and

Omar Ali, American University of the Middle East

There are several features inherent in blockchain, including decentralized storage, distributed ledger, immutability, security and authentication, and it has shifted away from the hype to be used practically in different industries, such as in the healthcare sector. The use of blockchain technology has allowed the provision of improved services to industries. The objective of this paper is to demonstrate how the use of blockchain is influenced by data quality issues in the healthcare industry. See more...

Improving Data Quality in Clinical Research Informatics Tools

by: Ahmed AbuHalimeh, UALR



Maintaining data quality is a fundamental requirement for any successful and long-term data management. Providing high-quality, reliable, and statistically sound data is a primary goal for clinical research informatics. In addition, effective data governance and management are essential to ensuring accurate data counts, reports, and validation. See more...

The 19th CDOIQ Symposium is held in partnership with

MIT Sloan CIO Symposium, Citizant, and theCUBE

https://cdoiq-2025.org/

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