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Meet the Speaker: Michael Stonebraker

HOW TO SOLVE YOUR DATA INTEGRATION PROBLEM


Michael Stonebraker, MIT CSAIL and Tamr


Abstract: Data integration requires solving several different problems (global schema construction, extract-transform-and-load, data cleaning, feature extraction, deduplication, golden record selection, classification, etc.) To solve these challenges, you need to bring a variety of tools to bear including traditional machine learning, deep learning, large language models (LLMs), rule systems, and conventional analysis techniques. In this talk I explain the best technology for a number of these problems and conclude that “one size does not fit all”. Hence, end-to-end data integration will require a tool kit of different techniques.


I also believe that the best data integration leverage is to build up pretrained models in the popular semantic areas (products, suppliers, customers, etc). This will allow you to get the best head start on most data integration challenges.

Meet the Speakers: 

Tom Davenport and Sebastian Klapdor

THE EVOLVING ROLES IN DATA AND TECHNOLOGY LEADERSHIP


Tom Davenport, Babson College

Sebastian Klapdor, Vista


Abstract: CDOs are only one of a growing collection of C-level tech executives in many organizations. A recent survey found that both customers and even the incumbents of these roles are often confused about who is doing what. Davenport, who conducted the survey, will describe the findings from it and executive interviews suggesting the emergence of "supertech leaders" who oversee multiple tech and data functions. Klapdor held one such role and will describe how it emerged and functioned at Vista.

Thank you to our sponsor: Microsoft

Meet the Speaker: Karthik Ravindran

GOVERNANCE FOR THE AGE OF AI


Karthik Ravindran, GM of Data Governance, Microsoft


Abstract: Your AI is only as good as your data and the ability of your people and your AI to responsibly discover and use your data. The quality of the data input also mirrors the final output of the model. With Data Governance, consumers developing AI can seamlessly discover secure quality data and organizations can ensure a healthy data estate. Organizations must govern not only the data inputs, but also govern the data generated from the models. With Microsoft Purview, model your data estate for your business, federate your Data Governance practice, and accelerate your responsible AI innovation with Governance. Watch video here!

Thank you to our sponsor: Velotix

Meet the Speaker: Adi Hod

EMPOWERING SECURE DATA DEMOCRATIZATION: HARNESSING THE POTENTIAL OF GENAI AND LLMs FOR DIGITAL TRANSFORMATION


Adi Hod, Co-Founder & CEO, Velotix


Abstract: Data is the lifeblood of your organization. It fuels your enterprise’s quest for competitive advantage, enabling it to develop groundbreaking solutions, solve complex problems, and stay ahead in dynamic markets. In the era of digital transformation, secure data democratization is pivotal for organizations; data should be secure and easy to use.


We will unveil how Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are transformative tools revolutionizing organizational success. By leveraging the capabilities of GenAI and LLMs, enterprises can streamline data handling and security processes, achieving higher standards of data integrity, accessibility, and security. Discover how GenAI and LLMs democratize data, making it more accessible and secure for every stakeholder.

Quenching Thirst, Saving Earth:

Embrace Sustainability with CDOIQ Tumbler

Get ready to elevate your brand at the July CDOIQ Symposium with this stylish and environmentally friendly Yeti tumbler! Co-sponsor this premium tumbler gives your company high visibility to senior data leaders who make contract decisions. These leaders will use this premium tumbler throughout the Symposium (mobile advertisement) and bring home to use for years.


Interested in co-sponsoring? Contact team at team@cdoiq.org.

Visit MIT Museum!

Experience an enchanting evening at the MIT Museum on Tuesday, July 16th, for the 18th Annual CDOIQ Symposium. Stroll from Hyatt through MIT campus or take our shuttle services. Delight in an atmosphere of innovation and discovery while mingling with fellow guests amidst the wonders of MIT's renowned exhibits. Don't miss this opportunity to immerse yourself in the spirit of exploration and camaraderie.

Register Today!

More than 700 delegates have already registered for the 2024 CDOIQ Symposium from July 16-18th in Cambridge, MA. Don't miss out – take advantage of our extended special offer until May 15. Enter the following codes at checkout to claim your discount. Feel free to contact us at team@cdoiq.org.

  • On-site code: SpringBreakOS30%
  • Virtual code: SpringBreakV50%
VIEW AGENDA HERE
REGISTER HERE

Book Hotel!

A limit number of guest rooms at Hyatt Regency Cambridge Hotel for the 18th Annual CDOIQ Symposium are still available for reservations. Please do reserve at your earliest convenience.

REGISTER HERE

CDOIQ LATAM 2024-2025

The second edition of the CDOIQ Latam Symposium, held in March this year at the FIAP University in São Paulo, Brazil, was a great success. The event had 239 on-site participants and 333 virtual, representing industry, academia and government. Attended by two keynote speakers, including the renowned Dr. Richard Wang, as well as 35 track speakers from various sectors. The diversity and quality of the presentations contributed to enriching the debate on Data & Analytics.


The 2025 CDOIQ-LATAM Symposium is already in preparation. Mark your calendars for the third edition, tentatively scheduled for May 21st, 2025 (provisionally), again in São Paulo, Brazil. Coming soon: call for sponsorship and invitation for keynote and track speakers.

CDOIQ Newsletter, May 2024, Vol. I

https://cdoiq2024.org/

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