Attendees will have access to sessions built on the latest Gartner research. The agenda is being designed to help data and analytics leaders meet the demands of the future.
2021 Topics at a Glance
Data and Analytics Everywhere
Data and analytics are no longer peripheral to the business. They are even more important in times of disruption and uncertainty. They are core to how organizations serve and delight their customers, optimize business processes and reduce risk, digitally accelerate, and supply the foundation for new transformational business models and revenue streams.
Leadership, Skills, Culture and Value Management
Uncertainty and disruption mean data analytics leaders must build and lead resilient and adaptive organizations to find opportunity in the chaos. The data and analytics strategy must be linked to the business in order to deliver value.
Composable Data and Analytics
Dramatic changes in business imperatives mean that organizations must be more nimble in their response than ever before. The data and analytics platform of the future will leverage data and analytics ecosystems and components to compose and recompose intelligent, AI-infused applications.
Accelerating AI and Machine Learning
Digital business and the Internet of Things (IoT) have fueled an exponential growth in data. The speed at which businesses must reinvent and shift has fueled the need to accelerate the use and operationalization of AI and machine learning (ML) across the organization for maximum business impact.
Augmented Data Management
Success with data and analytics will depend on building an agile foundation of trust, accountability, governance and security that respects privacy and promotes digital ethics. It also must be agile enough to respond to constant business and technology change.
Privacy and Ethics
The more data and analytics are central to the business, the more data we collect and connect, the higher the risk of violating customer privacy and using data and AI/ML unethically. Leaders must proactively manage data privacy, security and ethical use of data and analytics. It’s not only the right thing to do and increasing a regulatory requirement, it is essential to trust and credibility.