Manufacturers are increasingly focusing on predictive asset failure strategies to enhance operational efficiency and reduce costly production downtime. The Intelligent Manufacturing Solution, powered by Wipro and Snowflake, delivers a comprehensive suite of applications designed to streamline disruption management across the manufacturing process. By leveraging Wipro’s deep industry expertise and Snowflake's scalable, secure and high-performance data platform, the solution monitors asset health through sensors and telemetry data, enabling accurate forecasting of the Time to Failure (TTF) for in-service equipment.
Wipro – Snowflake capabilities offer multiple use-cases such as real-time machine failure prediction, InspectAI-computer vision accelerator, material planning and production schedule optimizer, real-time job scheduling and optimization, and digital control towers. While each application functions independently, they are seamlessly integrated into a unified system that proactively addresses supply chain and production challenges before they arise, minimizing disruptions and optimizing operational efficiency.
The solution also integrates Wipro's AI and machine learning expertise with Snowflake's Data Cloud to deliver actionable insights through an intuitive, centralized dashboard. This dashboard provides a 360-degree view of asset health, production schedules, and potential risks, enriched with AIOps data for end-to-end visibility and control. Additionally, Snowflake's seamless data sharing capabilities enable collaboration across ecosystems, allowing manufacturers to share insights with suppliers, partners, and stakeholders in real time.
By combining Wipro's domain expertise with Snowflake's cutting-edge data platform, manufacturers can achieve higher productivity, improved asset reliability, and enhanced operational resilience, setting a new standard for intelligent manufacturing in the industry.
