Executive Summit

Governing Body members host this dinner for attendees to launch the event with an evening of peer networking.

As companies aim to adopt cutting-edge AI technologies, crafting a workforce-focused transformation strategy is increasingly vital. It’s equally important to involve essential stakeholders from the very beginning – spanning beyond IT departments – to ensure there's an ethical governance structure and a clear strategy that team members are committed to supporting.

Attend this session to discover:

• Ethical approaches to deploying AI technologies within your company
• Techniques for engaging your team throughout the transformation journey
• Case studies showcasing successful people-centered transformation initiatives

As organizations move to deploy AI solutions, CDAOs are tasked with quickly establishing AI governance. As AI becomes increasingly integrated into workflows, ensuring ethical, regulatory-compliant and secure practices is essential.

Join this session as CDAOs discuss:

• Establishing AI governance processes
• Integrating AI into existing data governance frameworks
• Aligning with laws and anticipating regulations

While there’s a lot of hype around generative AI, it’s more than just a buzzword. Many organizations are developing use cases to enhance internal efficiency and increase the bottom line. How can data and analytics leaders use this hype as a moment to define value and gain sponsorship for D&A initiatives beyond GenAI?

Join this interactive session to explore:

• Constructing valuable use cases for GenAI and defining measures for success
• Demonstrating value and gaining buy-in from key stakeholders
• Fortifying C-Suite relationships to gain sponsorship for D&A

In industries facing evolving supply chains, global consumer demands and complex product life cycles, Master Data Management (MDM) is essential for optimizing operations and maintaining competitive advantage. CDAOs can leverage MDM to overcome these challenges by streamlining data management processes, improving AI precision and ensuring regulatory compliance.

Join this session to discuss:

• Assessing the relevance of MDM in a rapidly evolving market
• Prioritizing capabilities that enable organizations to meet global demands while driving innovation
• Creating metrics to track quality and success of your program for future growth

An overreliance on IT teams to address data and analytics inquiries often results in bottlenecks and delays. Enabling self-service reports is one way to cut time and propel democratization. But without proper data literacy and understanding of data, this solution remains a challenge for data and analytics leaders.

Join this session to discuss:

• Determining data privileges for users across the enterprise
• Enhancing use and understanding of data within the workforce
• Enabling self-service, reducing IT sourcing time

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.

As leaders in data and analytics, CDAOs play a critical role in fostering effective communication within their teams and across the enterprise. By collaborating closely, they ensure that technology investments and data management practices drive innovation, enhance efficiency and support data-driven decision making across the organization.

Join this session as Ray & Michelle discuss:

• Encouraging data-driven decision making across the organization
• Building partnerships within the C-suite
• Aligning data initiatives to business objectives

Quality and outcome are truly the first and final steps when working to derive value from D&A or AI initiatives. Without a standard of quality in place and outcome targets, D&A can't be trusted or relied upon to attain value. CDAOs should be constantly evaluating the state of data quality checks and its measurement of what success means.

Join this session to explore:

• Establishing & Measuring data quality & outcome 
• Identifying challenges to data quality in the wake of generative AI 
• Creating strategies to build trust, reliability and measurable business outcomes in data

Gartner predicts that through 2025, at least 30% of GenAI proof of concept projects will be abandoned due to poor data quality, inadequate risk controls, escalating costs or unclear business value. So how can CDAOs and heads of data succeed in scaling GenAI initiatives to maximize benefits for the long term?

Join this session to discuss:

• Current GenAI use cases and considerations
• Connecting GenAI investment to business value
• Collaborating with the c-suite on a long-term GenAI strategy

To overcome data context and self-serve technology challenges, D&A leaders must ensure the workforce has the skills and knowledge needed to thrive. While some are establishing data academies, others are weaving data literacy initiatives into their overall D&A strategy.

Join this session to discuss:

• Assessing and evaluating the current skills within the workforce
• Creating buy-in to drive data fluency across the enterprise
• Inspiring a data-driven mindset from the top down

As AI technologies rapidly evolve, the laws and ethical standards designed to govern them lag behind, creating a mismatch in the pace of innovation and regulation. This misalignment often leads to inadequate alignment with core principles such as trustworthiness, safety, and ethics. For AI leaders, mastering governance strategies that drive alignment with these core principles is key to ensuring the organization’s risk profile is effectively managed.

Join AI, cybersecurity, and IP law expert Eran Kahana as he offers actionable insights on:

• Navigating the ethics of cutting-edge AI
• Deciphering global AI legislation dynamics
• Mastering AI governance for risk mitigation