Tredence, a global leader in data science and AI solutions, announced a strategic collaboration with Snowflake, the Data Cloud company, to deliver AI-powered solutions tailored to the automotive industry. The partnership aims to accelerate the adoption of the AI Data Cloud for Manufacturing, empowering OEMs, suppliers, dealerships, and fleet operators to modernize legacy systems and unlock real-time, data-driven decision-making.
By combining Tredence’s domain expertise in automotive and industrial manufacturing with the scalability and performance of Snowflake’s AI Data Cloud, the collaboration provides a unified data architecture that seamlessly integrates operational technology (OT) and information technology (IT). The result: end-to-end visibility, predictive analytics, and operational efficiency across the entire automotive value chain.
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“Automotive companies are sitting on years of OT and IT data, but it’s locked in systems that don’t talk to each other and can’t keep up with real-time demands,” said Rakesh Sancheti, Chief Growth Officer and Chief Business Officer – Industrial Manufacturing, Tredence. “Our AI-driven smart manufacturing and supply chain solutions, along with GenAI-led migration accelerators, unify OT and IT data to drive actionable insights. Powered by Snowflake’s scalable AI and data cloud platform, our solutions help customers unlock measurable business value.”
“In today’s automotive landscape, manufacturers are facing a critical challenge: transforming vast amounts of siloed operational and IT data into actionable intelligence,” said Tim Long, Global Head of Manufacturing, Snowflake. “By combining Tredence‘s AI expertise with Snowflake‘s robust data cloud infrastructure, we’re helping automotive leaders break down these data barriers and accelerate their digital transformation. Through this launch, joint customers benefit from near real-time decision-making and predictive capabilities that drive tangible business outcomes across the entire automotive value chain.”