Executive Summit

In 2024, analytics and AI strategy is a top priority for Chief Data and Analytics Officers. Whether innovating for a competitive data landscape or bracing for the impact of generative AI — D&A leaders are revising their strategies to meet the moment. In this keynote, we’ll discuss the fundamental framework of people, process and technology to develop next-generation analytics and AI strategy.

Join this session to explore:

• Creating techniques to transform and retain your talent
• Implementing impactful data and analytics initiatives successfully
• Gauging ideas about the future of technology in the D&A space

The explosion of generative AI has accelerated the expectations for data and analytics leaders to deliver commercial value to the business. Not only are D&A leaders working to deploy AI responsibly and effectively, they’re also challenged with allocating the necessary resources for product development.

Join this session to explore how Wolters Kluwer is: 

• Designing an operating model that supports AI workflows
• Institutionalizing innovation process for data products
• Communicating the value of D&A initiatives to gain stakeholder buy-in

In today’s dynamic landscape, organizations often push to operationalize new technologies given the promising and innovative use cases. However, D&A leaders must spearhead a governed approach to eliminate risks and generate value. Effective strategies are needed to confidently implement AI with governance as a dependable safety net.

Join this session to explore:

• Operationalizing AI governance and model monitoring
• Managing enterprise risk and reputation
• Ensuring compliance through a changing regulatory landscape

As organizations move into the era of data-driven decision making, AI and machine learning carry huge potential benefits. As seen with other data capabilities, organizations still face challenges around data quality, scalability and accessibility. D&A leaders must adapt data strategies to leverage AI and machine learning, further enhancing innovation and governance standards.

Join this roundtable discussion to learn how to:

• Integrate AI capabilities within your data strategy
• Implement trustworthy standards in AI and analytics
• Foster organizational agility through scalable and accessible data products

Skill and talent shortages are a consistent roadblock for D&A leaders — a trend that will only continue with the rise of Gen AI. In order to stay competitive in a changing technology landscape and position the organization for future success, CDAOs need a proactive plan.  

Join this session to discuss:

• Evaluating the skills needed to successfully execute on D&A initiatives
• Assessing current capabilities to build effective development strategies
• Creating a thriving data culture for continuous upskilling at scale

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

Amid rapid growth and numerous acquisitions, data leaders at First Citizens Bank aligned toward a north star to maintain data quality, trust and drive business value.

This case study will explore:

• Integrating into the business and remaining connected to how data is used
• Aligning D&A strategy to business value and organizational goals
• Diversifying skill sets to bridge between data, technology and business teams

Having connected, informed, trustworthy and responsive data is the aspiration for properly transforming your organization. Yet data siloes, disconnected systems and incongruent data inhibit this organizational nirvana. Combine that with how much focus is now set on GenAI and there's an even bigger hill to climb. Instead, how do you take the hype and capabilities around AI to build a broader data estate — regardless of the business unit, system or cloud that it resides? 

Join this session with peers to discuss:

• Creating the most effective ecosystem and adopting new GenAI capabilities
• Maximizing your data, analytics and AI investments
• Simplifying how you leverage data fabric and AI

As AI continues to advance, the drive for more sophisticated and insightful analytics is becoming a cornerstone for strategic transformation in organizations. Yet the journey is often obstructed by outdated systems, fragmented data landscapes and complex regulatory hurdles. The need for streamlined data management and unification has never been more critical — promising significant advancements in operational efficiency and strategic insights.

Join this roundtable discussion to discuss:

• Strategies for integrating and leveraging real-time data across the organization
• Utilizing AI to enhance the productivity of data teams and the precision of analytics
• Transitioning from outdated systems to a cohesive data unification framework

Organizations that empower employees to make data-driven decisions show tremendous results, yet a lack of trust in an organization’s data will prevent self-service options from ever being used to full advantage. Proper data integration is the key to foster trust in data, which in turn unlocks smarter insights, better business decisions and powerful outcomes.

Join this boardroom to discuss:

• Reducing complexity and increasing connectivity of data systems
• Accelerating business outcomes through quality data integration
• Building trust and reliability in data and self-serve access points