Inside the Engine of GPU-Accelerated Financial Intelligence

See how SQream is revolutionizing data workflows across the financial enterprise.

calendar-icon 30th of June
calendar-icon 10:00 am ( EST )
location-icon Virtual

Webinar Description

In this technical webinar, we’ll dissect how SQream’s GPU-native AI Factory is revolutionizing data workflows across the financial enterprise – from ingestion and transformation to near real-time 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 Python native language on 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

Customer Success, Project & Program Management expert

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Etai Shimoni

Software Engineer at SQream

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Why Attend?

Cut through the AI buzz and get real, practical insights

Learn what an AI Factory actually is in plain language

See how data leaders are scaling AI across industries

Get inspired by a live semiconductor case study