Organizations that lack a governance framework for self-service can struggle to maintain control as work becomes chaotic, siloed and inconsistent. This session will allow you to engage with a Gartner expert who will dive into the capabilities and features of popular A&BI tools and provide actionable advice on how these can be leveraged to govern data and analytics within self-service initiatives.

Productionizing ML models remains a significant challenge for enterprises as they scale ML operations to hundreds or thousands of models. These organizations benefit from implementing a logical feature store to manage data for ML. Logical feature stores accelerate time to production and promote feature reusability, reproducibility and reliability.