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.

Limited Sponsorship Opportunities

Sponsorship slots are almost filling up for the 2024 CDOIQ Symposium; more than 85% have committed. Don't miss this chance to elevate your brand visibility, network with industry leaders, and drive business growth. Secure your booth and speaking session now (First Come First Serve).

Contact team@cdoiq.org if you would like to sponsor.

MIT Horizon Session and Distinguished Speaker

DESIGNING AND TRAINING INTELLIGENT ORGANIZATIONS

Kathleen Kennedy

Abstract:

Through a multidimensional approach, the session aims to explore innovative strategies for configuring organizations. Then we’ll explore methods for training existing teams about AI and other emerging technologies to ensure sustainable growth and competitive advantage in an ever-evolving global landscape. The session reviews research and case studies from MIT Horizon and the Center for Collective Intelligence.

Tiger Analytics Session and Distinguished Speakers

DATA MODERNIZATION PROGRAMS FOR SCALING AI

Sam Ramachandra, Derrick Higgins

Matt Parisi, Crystal Son, Rachit Dhir

Abstract:

2024 is shaping up to be the breakthrough moment for enterprises looking to modernize their data ecosystems, scale AI initiatives, and commit to robust governance and ethics policies.

Strategic data migration initiatives serve not only to streamline data access but also to facilitate a culture of responsible AI and governance. This entails establishing a centralized, sanitized data foundation, complemented by modern data architecture. Consequently, the realization of AI potential is becoming increasingly tangible. Reusable semantic layers are helping to create a cohesive unified, accurate business view of data for widespread consumption and democratization of data across the enterprise. Simultaneously, creating a robust user access layer, facilitated by APIs and visualization options, is instrumental in crafting tailored data products, required to accelerate AI initiatives with control access policies enforced.

IDC Session and Distinguished Speaker

ENABLING DATA GOVERNANCE FOR GENERATIVE AI

Stewart Bond

Abstract:

Data governance is not a new discipline, but its importance is more paramount now than ever before as organizations running a digital business begin to leverage AI everywhere. This session will explain why a disciplined approach to using Generative AI in the organization, coupled with vision, intelligence, people, technology, and process for to enable data governance are critical in reducing risks associated with using internal data against external Generative AI models to protect individuals' and intellectual property data from being misused, reducing risks associated with undesirable consequences..

https://cdoiq2024.org/

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