Gartner Data & Analytics Summit

Dive into the symbiotic relationship between data and Artificial Intelligence.

AI agents are emerging as an important trend since they enable levels of autonomy.

CDAOs and AI leaders often struggle to get started with GenAI.

Join this session to get oriented about where you are on the AI maturity curve.

Urgent investments in data, analytics and AI use cases has put the data fabric approach in focus.

Lakehouse has become a cornerstone in managing large and heterogeneous data.

Productivity and operational efficiency are one of the key measures of data management success.

Data lakehouses continue to be hyped, but do they replace or complement existing architectures?

Discussion of the latest burning issues that heads of data governance face.

The primary goal of this workshop is to equip participants with strategies to gain enterprise support for data governance.

By following the steps discussed in this session, organizations can assess their governance platform requirements.

Data and analytics leaders can use the concept of a 'franchise' as a model for agile analytics delivery.

Data catalogs suffer from a high failure rate that is often blamed on poor implementation.

This workshop is designed for first-time CDAOs and experienced CDAOs at a new organization.

Being a CDAO means having many responsibilities. Clients tell us they want to be more productive.

Many CDAOs were technical practitioners first but success as a CDAO requires broader organizational influence.

Data products are all the rage within D&A functions as the next wave of data management.

This workshop will cover the end-to-end process of managing a data product from concept to launch.

D&A leaders must develop DataOps as an essential practice to redefine data management.

This roundtable will facilitate an interactive discussion on common challenges in adopting data products.