LandingAI Powers Visual AI for Automotive Manufacturers with Snowflake Cortex AI
LandingAI, a leader in Visual AI software for the enterprise, today announced it has partnered with Snowflake to support the acceleration of the AI Data Cloud for Manufacturing through automotive-specific Visual AI solutions. Snowflake and LandingAI are enabling automotive manufacturers to accelerate their digital transformation by automating quality control, streamlining inspection and defect detection, expediting claims processing, and improving the customer experience through faster, more efficient service centers. As the automotive industry looks to drive greater efficiency into its manufacturing processes using data, LandingAI is helping industry leaders transform business practices by incorporating visual inspection and document extraction capabilities into both manufacturing and post-sale processes.
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“Visual AI is becoming essential for automotive manufacturers looking to enhance quality control, improve efficiency, and innovate across their supply chains,” said Tony Li, LandingAI VP of Partners and Alliances. “By making LandingAI’s platform natively available through Snowflake’s automotive solutions, we’re giving automotive leaders a powerful new way to unlock insights from images, videos, and documents—at scale, and with ease.”
LandingAI and Snowflake, the AI Data Cloud company, provide automotive manufacturers, suppliers, and fleet managers with the technology they need to improve operational efficiency based on the intelligence extracted from the vast amount of visual data generated across their organizations without sacrificing security or governance standards. LandingAI’s Visual AI platform delivers industry-leading vision capabilities that enable customers to develop and deploy automotive solutions—from defect detection and assembly verification to document intelligence, claims automation, and service center support.
Through this collaboration, joint customers in the automotive manufacturing space can now:
- Unlock Value from Unstructured Data: Use visual intelligence derived from images, videos, and documents to inform decision making in areas such as defect detection and classification; parts, paint, and weld inspection; assembly verification; and document intelligence for claims and compliance.
- Automate Automotive Quality Management: Increase throughput of quality control process while reducing w******* claims and returns by using AI-powered visual inspection.
- Streamline Visual AI Projects on the Snowflake AI Data Cloud: Run LandingAI model training and deployment for vision tasks as a Snowflake Native App, leveraging Snowflake’s scalability and governance.
“Integrating LandingAI’s automotive-specific Visual AI solutions is a key factor in helping the automotive industry accelerate digital transformation, arming them with the technology they need to tackle a massive unstructured data challenge,” said Tim Long, Global Head of Manufacturing, Snowflake. “Together, we’re able to deploy AI and ML that’s capable of interpreting images and videos to improve product quality, safety, and vehicle operations, all within the Snowflake platform.
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