Session 18A

Enable data and AI at scale with Lakehouse architecture

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CDO’s have realized that their legacy information technology platforms cannot scale and meet the increasing demands for better data analytics. As a result, they are looking to transform how their organizations use and process data. Successful data transformation initiatives involve designing hardware and software systems and aligning people, processes, and culture. These initiatives always require significant financial investment and, therefore, need to yield a substantial return on investment, starting in months, not years.

Join this session to learn about the ten key considerations data and analytics leaders face when developing their data and AI strategy and how the lakehouse architecture accelerates their ability to deliver on the strategy.


Chris D’Agostino

Global Principal Technologist, Databricks



View our complete list of 2021 speakers here.