Strategies for Effective AI and Analytics Architectures in Hybrid and Multi-Cloud Environments

In today's data-driven landscape, addressing fragmented data across on-premises, cloud, and edge environments is crucial for practitioners and companies seeking actionable insights. How do you break down data silos? How do you bring analytics and AI deployments to production? Explore best practices and challenges, understand how to access and process any data type or format, regardless of location, and integrate external NFS and S3 data sources.

Join us for a roundtable on strategies aimed at optimising data lakehouses, offering a unified data view for analytics and AI, and ensuring consistent security and compliance. We've brought together expert cloud and data professionals to discuss architecting data lakes and analytics platforms, especially in hybrid multi-cloud scenarios.

Join us on April, 23rd, 2024 @ 10 AM EDT Register

Learn from world-class practitioners

Learn from extraordinary speakers driving change and innovation.

Andrew Goade

Andrew Goade

HPE Ezmeral Solutions Engineering Leader – Americas

Vinoth Chandar

Vinoth Chandar

The creator and PMC chair of the Apache Hudi project

Anurag Kale

Anurag Kale

Cloud Architect and an AWS Data Hero

Meryem Arik

Meryem Arik

Co-Founder @TitanML

Roundtable Moderated by

Renato Losio

Renato Losio

InfoQ Staff Editor | Cloud Expert | AWS Data Hero


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100% of net ticket revenue* will be donated to one or more non-profit organizations**, supporting diversity & inclusion in software

*Net ticket revenue is defined as the collected ticket price minus applicable taxes, credit card fees and processing fees.


InfoQ Live April 2024

Date: April, 23rd, 2024

What's Included

60 minute, InfoQ-moderated panel discussion

Chat forum for attendees to ask questions to the panelists

Access to on-demand recording

Ticket Price



All amounts are stated in United States Dollars.
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