Join us at the Yokogawa Brisbane office for a night of networking and two technical presentations by Triple i experts.
Topic 1: Trusting Data for Process Improvements by Gary Harding, Principal Engineer (Technology) at Triple I
This Technology Session examines the key data needs for live DataOps applications. This includes essential considerations when data is used for on-line analytics, modelling, reporting, machine learning/AI and advanced controls. As operations shift toward high-speed, low-latency applications, updating your data strategy becomes critical. This is especialy vital when deploying live predictive analytics in production environments. We challenge the myths of quantity of data and even accuracy as the lead needs in DataOps. The session reviews the relationship between objectives and trusted data, and the pitfalls that need to be avoided in implementing Industry 4.0 solutions.
Coverage:
- What is DataOps?
- Our definition of Real Time Process Improvement (RTI)
- Key attributes of 'trusted' data
- Aligning information needs to improvement goals
- Simple example showing gaps and issues
- Which comes first: setting objectives or understanding?
Topic 2: Industrial AI by Steven Harding, Lead Developer at Oprix
'AI' is all the rage at the moment, but with all the over-the-top hype and conflicting information out there, it's easy to be confused about it. This session offers a quick, honest and plain-English tour of what Machine Learning and AI is, how chatbots are just a tiny part of what AI can be, and we'll provide real-world, practical examples of how machine learning can contribute to manufacturing and industrial systems, without the robots taking over.
Coverage:
- Control Loops are AI too
- Basic types of AI (and why ChatGPT isn't everything)
- What is a machine learning model
- Anomaly detectors
- State/Condition detection
- Virtual sensors & prediction
- Recipe/Setup optimisation
- Pros and cons of machine learning