New York CDAO Executive Summit

As CDAOs transition from small-scale AI pilots to enterprise-wide deployments, the challenge of scaling AI responsibly becomes imperative. To achieve this, data leaders must focus on building robust infrastructure, integrating AI into existing processes and ensuring scalability while maintaining high performance. Join Kalyani Sekar, Chief Data Officer & SVP at Verizon, as she highlights the roles data, governance and cross-functional collaboration play in successfully scaling AI.

Join this keynote to gain insights into:

• Scaling a data-driven ecosystem
• Best practices and potential pitfalls when scaling AI
• How data and AI leaders can position their organization for sustained success

As CDAOs continue to grow in their journeys, it is necessary to ensure your data fabric has a solid foundation on the information as well as the barriers in place accessing it. When we add GenAI into the conversation, how can we leverage this tool to our advantage, ensuring those barriers aren’t compromised? This complex conversation has many considerations, so let's explore them together. Join CEO of Orion Governance, Ramesh Shurma, to explore:

• An overview of the complexities of Metadata Management
• The challenges of data fabric as GenAI implementation continues
• Improving the process and execution of MDM models

As data and analytics becomes increasingly democratized, integrating self-service analytics and AI presents significant challenges. Current data management practices can compromise data quality, lead to misuse and result in poor decision-making.

This session will explore:

• Updating technical foundations and enhancing infrastructure to support self-service analytics and AI while managing risks
• Modernizing and aligning data governance frameworks with evolving business needs
• Fostering a culture of data awareness and ownership to manage risks and improve decision-making

In the intricate landscape of modern data ecosystems, ensuring the reliability and quality of data pipelines is paramount, particularly as organizations increasingly adopt AI technologies. Data observability has become an essential practice to uphold the integrity, performance and quality of these pipelines.
Join this session to discuss

• Identifying gaps in current data quality monitoring capabilities
• Adapting processes, responsibilities and skills to maximize value from data observability
• Defining trackable data quality rules and metrics

Secure data mobility is not just a technical requirement but a strategic imperative for business agility and innovation. As organizations increasingly adopt hybrid cloud environments, the need to ensure secure, compliant and accessible data flow becomes essential.

Join this executive boardroom to discuss:

• Integrating on-premises and cloud-based systems for seamless data flow
• Mitigating risks associated with data mobility
• Ensuring compliance with evolving data protection regulations

Connect with like-minded peers in a one-on-one setting through Evanta’s Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

CDAOs who prioritize personal leadership development are better equipped to foster adaptability, drive strategic initiatives and help their organizations thrive amid change.

In this interactive benchmarking session, top D&A leaders will:

• Develop skills to align with business objectives
• Prioritize effective leadership practices
• Identify strategies to lead data-driven culture change

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

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

Great AI models rely on trustworthy data, but CDAOs face significant challenges ensuring quality and transparency within enterprise AI systems. Inaccurate data can erode trust and pose operational risks to your business. Fortunately, advanced tools are helping CDAOs accelerate their AI initiatives while maintaining governance.

Join this roundtable discussion to explore how to:

• Maintain data integrity for AI projects
• Curate and govern data to build trust and ensure transparency
• Standardize clear business logic to guide AI development