Executive Summit

The way we talk about data is holding the industry back so it’s time to rework your “data speak”. Are you struggling with leadership support, craving stakeholder engagement and begging for proper funding? Even though you may create Gen AI wonders with your data, it won’t matter unless you explain the value in practical business terms.

Join The Data Whisperer’s rollicking and riotous review of current buzzwords and some practical tips and tricks on what you can do about it including:

• Differentiating between a data management narrative and other data storytelling and data literacy efforts
• Developing strategies to secure sponsorship and funding
• Executing a simple storytelling approach

Generative AI has the potential to lower barriers to analytics adoption, creating a surge in the number of users. While the benefits are exciting, the risks are glaring for data leaders.

This session presented by Promethium dives into the importance of:

• Embedding generative AI in today's analytics
• Integrating generative AI into existing processes and platforms
• Ensuring that visibility and transparency is incorporated in outcomes

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

Generative AI is a great disruptor, shaking up organizations across industry. As businesses race to clench a competitive AI advantage, how can leaders make sure their investments are worth the effort? It’s critical for the enterprise to create a solid data foundation, a culture that breathes D&A and strategic vision for the future to achieve success.

Join this boardroom as your peers discuss:

• Ensuring proper governance and quality controls are in place to maximize insights
• Cultivating a data-driven culture organization-wide
• Developing high-value use cases to show ROI with Gen AI

Positioning data governance as enablement rather than restrictive is a tactic more data and analytics leaders are taking to gain buy-in. But as the digital enterprise rapidly evolves, governance frameworks must modernize, maturing to address trust, risk and ethics.

Join this session as CDOs discuss:

• Understanding the baseline for effective governance
• Identifying common pitfalls or challenges within your policies and teams
• Outlining a path to ensure framework scalability

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.

Gartner predicts that by 2027, more than 50% of enterprises will have implemented responsible AI governance programs to address the growing risks associated with AI, a massive leap from the less than 2% today. Data and analytics leaders understand that AI without strong governance is not only ineffective but also potentially dangerous, creating risks in privacy, ethics, and trust.

 The Global Head of AI Governance at Equifax will delve into the essential pillars of designing and implementing AI systems that prioritize:

• How to develop an AI governance policy and program
• Which stakeholders should be involved in the design and operations
• Tools and resources that are available today to help you begin

As artificial intelligence technologies advance at a fast pace, the legal and ethical frameworks that govern their development and deployment are evolving. It is imperative for data leaders to ensure that the evolution and utilization of AI systems do not undermine their trustworthiness and ethical integrity.

Join this session to discuss:

• Balancing ethical considerations with operational efficiency in AI 
• Establishing robust AI Policies and standards
• Enhancing stakeholder collaboration in AI strategy

Data as a product transforms data management, posing challenges for CDAOs in data quality, compliance and culture. Adopting robust governance, user-centric design and collaboration, CDAOs can overcome these hurdles, unlocking innovation opportunities and guiding organizations towards value-driven data utilization.

Join this round table discussion as peers discuss:

• Transforming organization and culture
• Unlocking innovation and value realization through strategic initiatives
• Practical tips and enablers for impact-at-scale

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 and reducing IT sourcing time

There is no one-size-fits-all solution for our challenges; achieving success requires the right technology strategy coupled with the right talent. According to Gartner, by 2026, the Chief Data and Analytics Officer's (CDAO) proficiency in delivering data and AI literacy, fostering cultural change, and developing a skilled workforce will be among the top three critical factors in supporting business strategy and technology development.

 In this keynote Gregory Brown from UPS breaks down:

• Identifying the right technologies for the right problems
• Creating transformational organizational change
• Developing and refining the skills of your workforce

Governing Body members host this reception for executives to close out the event with an evening of peer networking, food and drinks.