Are your manufacturing software tools working against you?
Factories are packed with powerful, specialised applications for equipment productivity, process control, fault detection, product quality, and more. But these tools often operate in silos, with rigid interfaces, steep learning curves, and poor interoperability; making it difficult for engineering teams to move fast and solve problems effectively.
A new generation of industrial analytics is changing that. By combining AI-driven insights with engineering expertise, manufacturers are increasing productivity, improving quality, and reducing dependence on costly, specialized tools.
Join this session to discover how to:
● Break down silos with flexible connectivity to access, prepare, and blend data across multiple specialist systems
● Empower engineers to explore data quickly and discover hidden insights in complex, heterogeneous data with the assistance of AI
● Accelerate analytics with built-in machine learning, recommendation engines, and native support for Python and R
● Capture and scale best practices through analytic apps that preserve your unique workflows for data transformation, visualization, and decision-making
Register now to understand the symptoms of this specialist tool gridlock, and how AI-driven data exploration and industry analytics can unlock engineering expertise and creativity for faster and more effective problem solving.
