Datanova for Data Scientists
Featured Session:
The Intelligent Edge
In this session, hear Kirk Borne discuss how real-time analytics at the Intelligent Edge are being accelerated by AI and ML, the impact of COVID-19 on user behavior patterns, and how trends are being utilized by data scientists to yield deeper insights and build smarter models.
Featured Session:
Accelerating Data Science with Trino
Moderated by Starburst Regional Manager, Solution Architects Brian Luisi, this panel features the Starburst CTOs and the creators of open source Trino (formerly PrestoSQL) Dain Sundstrom and David Phillips as they share best practices and customer use cases of how Trino is accelerating data science at the world’s leading organizations.
Featured Session:
Data Lakehouse: A New Architectural Horizon
Paco Nathan, renowned data scientist, moderates this session on data lakehouse, an emerging data architecture. Panelists Adri Purkayastha, Group Head of AI and Digital Risk Analytics at BNP Paribas, Anjali Samani, Director of Data Science at Salesforce and Tom Nats, Director of Solutions at Starburst explore the meaning of data lakehouse, discuss industry trends, and identify areas of opportunity.
Featured Session:
What Data Mesh Means for Data Scientists
What does domain-driven ownership of data mean for the data scientist? This forward thinking panel moderated by Sophie Watson, Principal Data Scientist at Red Hat dives into what Data Mesh means for data scientists with panelists Zhamak Dehghani, founder of the Data Mesh term, Daniel Abadi, Darnell-Kanal Professor of Computer Science at University of Maryland, College Park, and Max Schultze, Data Engineering Manager at Zalando.
Featured Session:
Customer Lightning Talk: Assurance
Hear from Mitchell Posluns, Senior Data Scientist at Assurance, A Prudential Financial, Inc. Company, how they accelerated time-to-insight, improved conversion rates, and enabled robust modeling for insurance recommendations while driving practical business outcomes with Starburst.
Featured Session:
Partner Spotlight: Red Hat OpenShift Data Science
Learn how Red Hat OpenShift Data Science can simplify and accelerate your AI/ML projects. Karl Eklund, Principal Architect at Red Hat shares how you can take advantage of a broad ecosystem of tools including Starburst, leverage cloud computing resources to have access to the processing power you need, and create and share projects without changing your existing tools or workflows.
You’ll have access to:
- A presentation on The Intelligent Edge by thought leader Kirk Borne.
- A panel discussion on Data Mesh for Data Scientists with Zhamak Dehghani, founder of the Data Mesh term, Daniel Abadi, Darnell-Kanal Professor of Computer Science at University of Maryland, and Max Schultze, Data Engineering Manager at Zalando and Sophie Watson, Data Scientist at Red Hat.
- A lightning talk on how Red Hat OpenShift Data Science can simplify and accelerate your AI/ML projects by Karl Eklund, Principal Architect at Red Hat.
and more!
Stream on-demand now!
Speakers
Sophie Watson
Principal Data Scientist, Red Hat
Kirk Borne
Chief Science Officer, DataPrime, Inc.
Paco Nathan
Data Scientist, Gradient Flow
Zhamak Dehghani
Director of Emerging Technologies, ThoughtWorks
Brian Luisi
Director, Solutions Architects, Starburst
Tom Nats
Director of Customer Solutions, Starburst
Martin Traverso
Co-Creator of Trino and Chief Technology Officer at Starburst
Dain Sundstrom
Co-Creator of Trino and Chief Technology Officer at Starburst
David Philips
Co-Creator of Trino and Chief Technology Officer at Starburst
Max Schultze
Data Engineering Manager at Zalando
Mitchell Posluns
Senior Data Scientist at Assurance
Karl Eklund
Principal Architect at Red Hat
Holden Karau
Open Source Engineer at Netflix
Adri Purkayastha
Group Head of AI and Digital Risk Analytics at BNP Paribas
Anjali Samani
Director of Data Science at Salesforce
