You will learn about:
* Democratizing data: making data as consumable as possible while also governed.
* Augmented Analytics: scaling machine learning, augmented, predictive and prescriptive analysis strategies.
* Integrating AI and BI: sharing AI/ML model outputs with enterprise BI teams.
* Data Literacy: the role of a semantic layer as part of a broader data fabric support self-service BI and scalable data science programs.
* Gal Barnea, Database Engineering Lead, AWS Amazon Redshift.
* Jay Schuren, VP Customer Success, DataRobot.
* Kirk Borne, Ph.D., Chief Science Officer, DataPrime, Inc.
* Daniel Gray, VP Solutions Engineering, AtScale.
* Dave Mariani, Co-founder & CTO, AtScale.