Day 1 - 19 June 2019
Connected Industry: Chair’s Welcome and Opening Comments
Realizing the Value of IIoT
- Making IIoT simple to drive business outcomes
- Moving from reactive to predictive industrial operations
- Closer look at realizing the value of Industry 4.0
Food and Beverage Manufacturing Using the IoT
The food and beverage manufacturing industry has truly taken IoT into its core, with connected and smart technologies being used throughout the process, from tracking ingredients and finished products to reduce wastage to ensuring safe transportation of products. Using real life examples from their business, hear from a real-life company working in this sector about how IoT has given them the technological and economic advantage over the competition.
Panel: Creating a competitive edge with the IIoT
- The IoT is now firmly embedded within many industrial enterprises – but how do you move ahead of the ever-growing pack?
- How small wins can grow into big returns – making smart choices when it comes to platform selection, device management etc..
- Seeing IoT as a business project, not an IT project.
IoT in Agriculture: Growing Tomorrow’s Intelligence from Today’s Technology
Most people don’t associate agriculture with high-tech and smart technology, however some of the most advanced IoT technology is being used on farms and revolutionizing the way the food on our plates is grown Technologies such as farm sensors, IoT-enabled machines, big data and machine-to-machine communications are integrated into each and every step of the farming cycle, enabling farmers to improve productivity and make better decisions despite having fewer resources. In fact, agriculture machines of all types are now connected, serving as their own IoT-enabled factories that use intelligent data to operate more effectively and efficiently. Through IoT sensors, millions of data points are being gathered and enriched by real-time observations to inform and enable farmers to learn from millions of similar decisions across the world. And the intelligence doesn’t stop there; just as farmers are learning from this swell of information, farming equipment is getting smarter too. Through the use of sensors and mobile applications, farmers can now control equipment from anywhere, anytime.
IoT Analytics Lifecycle: From Generating Data to Predicting the Future
This session will provide a thorough overview of the Industrial IoT analytics lifecycle. By participating, attendees will be able to do a self-assessment of what stage their business is in, in the analytical lifecycle. This session digs into the details of each stage; generate, collect, analyze, react and predict. Attendees use a real-world use case to help them understand their ability to forge connections between disparate data, devices, and technology to reach the predict data state.
Keynote Panel: Predictive Maintenance – How to Unlock True ‘Actionable Insight’
- Exploring the technology available for condition monitoring and predictive maintenance across industry, from maintaining wind turbines to services elevators.
- Are we moving from reactive to predictive maintenance, and what role can ML play here? What about fixing problems remotely?
- The potential benefits for business innovation and strategy of implementing IoT for maintenance, and what is holding industries back here?
- Discussing the impact that data models used for predictive maintenance have on field services, and the need for feedback loops to continually refine them.
Keynote: Smart Factories – The aggregation of connected processes
When functioning correctly, a smart factory is a fully connected system which utilises a constant stream of data from IoT-enabled processes such as inventory tracking, predictive maintenance, smart manufacturing and the implementation of digital twins. This talk will look at how all of these processes harmonise and enable more informed decisions.
Panel: Smart Manufacturing for every product
- Looking at the way in which IoT-enabled smart manufacturing can provide visibility of resources, assets, processes, for enhanced productivity and better ROI.
- Process Automation – moving beyond IoT to intelligent objects.
- In addition to the IoT, this discussion will look at the impact of Artificial Intelligence (AI), machine learning, and Virtual Reality (VR) on manufacturing.
A Transformed Oil and Gas Company
How the Oil and Gas industry is being transformed by the IoT
The No-Collar Workforce of the Future is Here: A Guide for Humans and Machines
Improving quality and process using actionable machine learning
- Why most machine learning techniques are actually not appropriate for quality and process improvement, and the importance of actionable ML.
- Best digitization practices: Identifying use cases, implementing solutions, gaining insights and measuring value.
- Real world applications: How machine learning can really improve your profits.