Inside the Engine of GPU-Accelerated Financial Intelligence

Discover how SQream transforms data workflows for financial enterprises, enabling one large bank to save over $3 million in licensing costs.

calendar-icon 03rd of July
calendar-icon 8:00 am ( EST )
location-icon Virtual

Webinar Description

In this technical webinar, we’ll dissect how SQream’s GPU-accelerated data engine that powers AI factories is revolutionizing data workflows across the financial enterprise – from ingestion and transformation to turbo-fast analytics and predictive modeling by simply using Python.

You’ll learn:

  • Why legacy architectures are slowing your data science and analytics teams – and how SQream’s GPU-native technology eliminates bottlenecks.
  • How financial institutions unlock blazing-fast performance – no indexing, no tuning, no cloud overprovisioning.
  • How to use native Python with SQream to accelerate data prep and model training.
  • How a tier-one financial organization can redefine fraud detection and risk analysis by cutting query times from hours to minutes.

 

Who Should Attend:

Data Engineers | ML Infrastructure Leads | AI/ML Engineers | Quant Developers | CTOs | CDOs

 

Join our Webinar

Meet the Speaker

Sharon Lahav

Sharon Lahav

Customer Success, Project & Program Management expert

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Pavel Sazonov

Pavel Sazonov

Site Reliability Engineer | DevOps engineer

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Why Attend?

Get a clear playbook to slash query times

Learn how to trim infrastructure spend

Understand how to build an AI Factory that delivers turbo-fast insight

Get front raw seat to SQraem cutting edge technology