WEBINAR
Introducing Rescale Data Intelligence
Harness Modeling and Simulation Data to Improve Efficiency and Accelerate Innovation with AI-driven Methods
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What's Driving the Need for Data Intelligence?
68% of engineering time goes to finding data instead of designing & innovating
30% of simulations are unintentional duplicates due to poor data visibility
$5-9M annual productivity loss per 100 engineers from data management overhead
The challenge
Fragmented data creates inefficiencies and slows decision-making. Critical findings and context are often lost, making decisions difficult to trace. And without structured, accessible data, AI adoption is stalled by the limitations of legacy systems.
How Leading Teams Are Tackling the Issue
With Rescale Data Intelligence, teams are unifying their simulation data, activating AI intelligence, and enabling agentic automation to accelerate innovation.
- Build R&D Data Foundations: Rescale’s unified data fabric automatically captures metadata and syncs with or connects systems of record, creating a searchable, traceable digital thread that can be queried and acted on with AI agents.
- Accelerate R&D Discovery: AI Physics methods built on simulation data make it easy to train and deploy surrogate models, unlocking faster insights without requiring data science expertise.
Learn how leading companies are achieving faster insights, eliminating duplicate work, and building the digital thread for AI-driven engineering.
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