We look forward to seeing you at an upcoming in-person gathering
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May 9, 2024 | Hyatt Regency Minneapolis
May 9, 2024
Hyatt Regency Minneapolis
Get together with Minneapolis's top CDAOs to tackle shared business challenges and critical priorities facing your role today. Participate in this one-day, local program with peer-driven topics and interactive discussions with your true C-level peers.
Join your peers to discuss the most critical issues impacting CDAOs today:
Revising D&A strategy with a focus on generative AI
Enabling a culture of data fluency through psychological safety
Modernizing data governance with evolving business objectives
The Governing Body Co-Chairs shape the summit agenda, ensuring that all content is driven by CDAOs, for CDAOs.
Greg Albaugh
Synchrony Financial
Senior Vice President, Data Architecture & Analytics
Sravan Kasarla
Thrivent
Chief Data Officer
Teri Kaslow
Blue Cross Blue Shield of Minnesota
Head of Enterprise Data & Analytics
Jeremy Lembeck
Land O'Lakes
Head of Data and Analytics
Stephanie Lenzner
Mayo Clinic
Chair, Data & Analytics
Thomas Moore
Xcel Energy
Senior Director, Data and Analytics
Keith Narr
Cargill
Vice President, Data
Ritu Sharma
Equifax
Chief Data and Analytics Officer
The CDAO Executive Summit agendas are driven by the mission-critical priorities identified among the community. Each agenda is uniquely crafted ‘by CDAOs, for CDAOs,’ and will be available closer to the gathering. All topics and sessions will be inspired by the following themes.
In a world that values data as an asset, governance is paramount to harness the full potential of organizational insights. With generative AI emerging as a major advancement, data and analytics leaders must consider the risks, benefits and ethics to implement a governance program to address it.
To sharpen decision-making, data and analytics leaders must upskill the workforce to embrace a culture that puts data first. To achieve this, leadership must foster an environment of continuous learning, educating the enterprise about the context of data and the analytics tools available.
Augmenting workflows and improving the customer experience through artificial intelligence and machine learning are top of mind for CDAOs. Many are treating data as a product, evangelizing the value of analytics and optimizing operating budgets to do more with less.
REGISTERFor inquiries related to this community, please reach out to your dedicated contact.