New York CDAO Executive Summit

Many CDAOs are invested in implementing cutting-edge technologies and quantifying their value. However, the crucial task of cultivating a culture that drives adoption of these tools is often overlooked. Join this session to discover effective strategies for building an environment where teams are genuinely invested in, and accountable for, the success of D&A initiatives.

This session will explore:

• Fostering a data community to engage employees with a bottom-up approach
• Upskilling data teams in a way that feels organic and unforced
• Driving accountability in data ownership

In today's data-driven world, mastering predictive analytics is crucial for businesses seeking to convert data into insights for enhanced decision making. This session will reveal how to evolve from conceptualizing predictive analytics opportunities to embedding it as a core capability, illustrated by real-world examples.

Join to explore:

• Securing stakeholder commitment and effectively managing expectations
• Assembling a skilled team to develop and maintain a predictive analytics capability
• Transitioning from pilot to implementation and preventing unnecessary delays

The increasing variety of data roles, scope creep and overlap between different job types have made structuring data teams an enormous challenge. However, finding the right team structure is crucial for advancing your organization's data and analytics goals.

Join this session to explore:

• Various frameworks for structuring data teams effectively
• Pros and cons of different organizational models
• Strategies to enhance data teams' performance without undergoing a complete reorganization

Companies must modernize to remain competitive in today’s dynamic business environment, but siloed, unreliable data makes digital transformation virtually impossible. Traditional solutions to data fragmentation are failing because they are unable to power business applications in real-time and fail to deliver reliable data where and when it’s needed.

Join this roundtable to discuss:

• Implementing a comprehensive data unification framework to improve trust and reusability of data assets and simplify governance
• Enabling continuous data integrity and reliability when supporting AI systems
• Mitigating security risks in AI-driven data processing and decision-making

In order to thrive in the face of rapid industrial and technological changes, CDAOs are increasingly called upon to find ways to monetize data and content. In this keynote conversation, Rachael Tucker leverages over 20 years of experience managing data and analytics businesses to explore how organizations can effectively monetize their content. Using Saturday Night Live (SNL) as a model for sustained success, Rachael reveals key strategies for staying relevant in a rapidly changing landscape.

In this session Rachael shares how to:

• Adapt content to generate revenue
• Apply principles of agility, creativity, and innovation
• Build resilient and adaptable organizations