CDAOs and D&A leaders must be purposeful in driving the organizational and cultural transformation necessary to become a data-driven enterprise. This track explores how to hire and retain individuals and lead teams for business productivity, employee retention and professional growth.

Data is now widely recognized as the most important asset of an organization, central to applications, analytics, artificial intelligence (AI) and machine learning (ML). This track highlights the current and future data management strategies such as data ecosystems and financial governance as well as the full set of tools, metadata management and master data management.

To increase the impact of analytics on an organization, data and analytics leaders must change their mindsets, shifting their focus beyond the implementation of analytics capabilities toward the delivery of business outcomes. This track navigates those analytics capabilities and how to organize them, plan to deliver them and align them to stakeholder needs.

Data and analytics is part of every business discussion about digital transformation. This requires creating a D&A strategy that can make an impact to the organization’s mission-critical priorities, establish and manage value expectations, and build an operating model to execute. This track explores how to identify, assign value and prioritize data and analytics investments as well as develop a coordinated strategy and operating model to ensure success

Scaling and operationalizing data science, ML and AI are critical to driving value and impacting how decisions within the organization are made. This track explores the technology trends, organizational requirements, skill development and talent needed for successful deployment

To exploit business opportunities and challenges, organizations must establish the right foundations for data and analytics governance. Trust, privacy, ethics and accountability are central to this foundation. This track provides guidance for putting trusted, agile data and analytics, and AI governance practices in place.

As the role evolves, CDAOs must focus on creating business value, nurturing data and analytics talent, creating a data-driven culture, and providing the supporting technology infrastructure. The CDAO Circle provides targeted content, workshops and networking opportunities. Join us and form valuable connections with peers and Gartner experts.

In times of economic uncertainty, executive decision making is always looked at acutely. Critical business decisions range across cost optimization (for cash-strapped organizations) to strategic investments to “win in the turns” and exploit the opportunity (for those with funds). Data, analytics and AI will be more important than ever to every organization.

Data, analytics and artificial intelligence increasingly play a pivotal role in supporting ESG topics such as sustainability, diversity and human rights. On the other hand, attention is needed for the growing environmental footprint of data processing and machine learning. This spotlight track offers a much-needed ESG perspective on D&A.

MDM is a foundational building block for digital transformation but also for the business agility required to navigate uncertain times more broadly. A technology-enabled business initiative, this spotlight track addresses the fundamentals across people, process, technology and the MDM market.

Gartner for Technical Professionals research explores insights into the best practices, methodologies, tools and infrastructure needed to ensure operational success. This spotlight track provides actionable insights into architecting, implementing and operationalizing data and analytics and AI.

D&A is both a driver and enabler of innovation across the organization. This spotlight track will clarify innovative D&A technologies as well as best practices in using D&A to drive innovation.