Masterclass on ingesting varied and distributed configuration metadata
R&D teams manage dozens of test configurations across different systems and formats. Learn to ingest and normalize configurations from HTTP APIs, LabVIEW, Git, and files into standard JSON.
Masterclass in test data schema preparation for analytics
Test data needs proper schemas for analytics. Learn to design data structures that enable efficient querying, visualization, and AI while maintaining engineering context.
A masterclass in test data normalisation using Python
In this masterclass we will talk about the importance of consolidating diverse test data, generated during R&D lifecycles, into a standard schema and show you how easy it is to achieve.
A masterclass in ingesting test data
Test rigs use diverse data interfaces such as CSV files in local file systems or real-time data via MQTT or tools like LabView. This data must be readied for storage, analytics, and reprocessing.
Maximising the productivity of R&D. Lessons for Engineering Leaders from 5 years of working in Formula 1
F1 sets the R&D standard, yet even top teams gain barely 1% in pace over 24 races. Learn what limits most R&D teams—and how to speed up feature development.
Build an industrial data pipeline using AI and MCP servers
Learn how to build pipelines in Quix with natural language and find out how we build an MCP server from API docs.
Building reliable data ingestion for industrial monitoring
Reliable industrial data ingestion needs a system that can handle volume, integrity, instability, variety, latency, and silos.
How CloudNC increase manufacturing efficiency with Quix
In this webinar, our customer CloudNC will present how they optimize manufacturing processes in their factory with Quix.
Key challenges with data historians when moving towards Industry 4.0, and how to overcome them
In this webinar, we’ll go through real world examples from industrial companies in the energy, manufacturing and transport sectors.
How our customers consolidate high frequency telemetry data for better monitoring and analytics
In this webinar, we will discuss some of the challenges around ingesting high volumes of high frequency sensor data into a centralized cloud data store.
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On demand resources
Unable to attend a recent webinar or looking to find recordings and helpful resources from past events? We’ve got you covered in our resources hub.