23 January 2017
Connected Industry: Chair’s welcome and opening remarks
09:30AM - Day 1
Keynote presentation: What is the best route into the IIoT?
- To what extent do you need to redesign organisations, partnerships & operations to realise the value of IIoT?
- Identifying and working with new ecosystem partners
- How to support your products and processes through the entire product life cycle.
- Discussions around developing your own proprietary platforms vs working with external vendors.
Panel: Creating a competitive edge with the IIoT
- The IOT is now firmly embedded in many industrial enterprises – but how do you move ahead of the ever growing pack?
- How much investment is required to successfully implement IIoT? What should be considered when evaluating options for deployment in different industry verticals and segments?
- Seeing IoT as a business process NOT an I.T project.
- How can you decrease time to market, improve productivity and security and create new value-driven devices and services for your customers in today’s competitive, complex and increasingly fast paced world?
People are the key ‘intelligent asset’ in the Industrial Internet of Things.
- Discussing how to get buy in from your organisation and combat cultural biases – eC-suite but also across traditionally siloed departments like engineering and IT.
- How IoT-enabled Digital Twins and Augmented Reality will transform the way you create, operate, service and experience things
- What effect will the move from traditional methods to easily-created connected mobile experiences that leverage augmented reality have on new levels of human-thing interaction across the product lifecycle?
- The future of the workforce – how will digital labour in manufacturing transform the skills mix and focus of tomorrow’s workforce.
Panel: Smart Factories of the future
- Discussing the operational transformation in manufacturing from a product focus to an outcome based one
- Examining new factory concepts enabled by the ‘Industrial Internet’ – utilising smart buildings and smart machinery.
- Results in terms of Capex, Opex and reductions on KPI’s such as energy consumption and increased efficiency
Process Automation – moving beyond IoT to intelligent objects
- Process Monitoring for smart factories – utilising statistical process control, AI and machine learning
- Requirements in modern production for agile and reactive changes in process, and the associated issues around gathering, analysing and acting on the right data in an effective timeline.
- How sensors, monitoring and process control systems can be used to track movement of material
- What are the benefits to enterprises of process automation?
Case Study – Connecting legacy equipment for fast ROI in IoT
- Connect legacy machines and equipment – examining the methods, results and pain points.
- Does enabling IoT improve on KPIs for production and resource consumption?
- Return on investment of IoT strategies vs the need for initial investment.
- Integrating OT with IoT in the modern enterprise – challenges such as technology, culture and standards.
Case Study: Rolls Royce
- Industrial IOT require fit for purpose connectivity.
Panel: Connectivity for M2M devices
- Discussions around the diversity of IIoT applications and their requirements, introduces a paradigm shift for connectivity solution and new business models to enable new ways of working and new services.
- How businesses are using de-centralized, autonomous device networks enable fast and efficient deployment of large-scale industrial IoT
- The role of Ultra-low-power wireless technologies for the industrial internet of things both infrastructure-less networks such as wireless M-Bus, EnOcean, KNX wireless and infrastructured IoT networks such as Sigfox
- The seamless integration of standards into the IoT – moving from proprietary solutions to standards allows for interoperability along the entire supply chain.
Smart Farming Case Study
- Industry 4.0 is enabling more simplified operational decisions, increasing machine uptime and allowing for the easy management of systems within farming – using sensors for everything from soil monitoring to herd management.
- How the agriculture industry in particular is taking connectivity to the next level
- What hurdles the agricultural industry has faced as machines become increasingly connected to the internet and how farmers can overcome those challenges
- The role of mobile data collection, analysis, sensors and remote management in creating a connected farm and increasing yields whilst reducing wastage.
Panel: Agriculture in IOT – the future of the smart farm
- What is the future for irrigation control, fertiliser management and other types of connected farming technologies?
- How can IoT impact on agriculture and farming in emerging markets – discussing the need for low barriers to entry for farmers worldwide.
- Understanding how connectivity on the farm can be leveraged across other industries
- What is the value of using new IoT technologies such as drones within farming.
- Will increased data mean increased transparency for consumers as to where their produce is coming from?
24 January 2017
Chairs welcome – M2M in the Connected Industry
- What opportunities does M2M provide the Connected Industry
- Enabling & orchestrating the M2M ecosystem
Keynote panel: Digitalising heavy industry
- How important is it for industry players to be engaging with the internet of things? How far advanced is the evolution to digitalisation
- What new tools and means is digitalisation providing to heavy industry?
- Is the market moving M2M to IoT or is it the same?
- What are the major challenges of digitalising and what plans can be put in place to overcome these.
Harnessing the Power of Real Time Analysis in IIoT
- The future of manufacturing is moving from descriptive to prescriptive analytics and operational intelligence
- The role of technology such as unmonitored plant and processes; gauges and sensor; remote monitoring by telemetry; semi-automated control and remote reporting of alarms
- What can predictive platforms: devices that can autonomously adjust parameters based upon measured and received data, and artificial intelligence that creates its own rules and outcomes based on learned experiences play within the modern business?
- Real life examples from across the industrial IoT.
Lessons learnt from the Oil and Gas industries in IoT
- As an industry, oil and gas have been utilising IoT for many years; what can the rest of Industry 4.0 learn from their experiences?
- How to ensure their operations are efficient, safe, and secure
- The role of asset monitoring to protect against equipment failure.
- Real life examples from upstream, downstream and midstream operations.
Predictive Maintenance Panel: transforming field services and asset management
- Moving from reactive to predictive maintenance – How easy is it to ingrate IoT into existing assets for maintenance purposes?
- Exploring the technology available for condition monitoring and predictive maintenance, and the level of investment required
- Special considerations for remote assets – creating efficient mechanisms to collect data from sensors and turning this into actionable insights
- The potential benefits for business innovation and strategy of implementing IoT for maintenance
Afternoon Keynote: IoT and Remote Container Management
“By outfitting its fleet of reefer containers with “smart” technology, Maersk Line is reducing risk in customer supply chains and saving itself millions of dollars in costs while representing the cutting edge technology and innovation in shipping.” Maersk, 2016
Panel: Smart logistics for freight and fleet management
- Discussing how the IoT is impacting logistics, fleet and freight management as a whole
- How businesses should tackle vehicle generated big data, plus that generated by connected freight such as RCM’s?
- Moving beyond telematics to transform connected assets into intelligent devices.
- What impact will the IoT have on the future of worldwide logistics and the wider business?
Predictive maintenance for your fleet
- How to improve quality and service by predicting malfunctions before they cause unscheduled downtime and higher costs?
- Which are the key challenges to implement an IoT enabled predictive maintenance?
- How to build a layered architecture for Sensing, Communication, Service and Infrastructure?
- How predictive maintenance requires a two-step data analytics?
- How IoT help us to implement a transformational business model like performance-based or pay-per use billing?
Beyond the factory floor – supply chain management
- What impact will the IoT have on the future of supply chain management and the wider business?
- Discussion of the benefits of end-to-end data sharing between stakeholders along the supply chain.
- How can RFID, NFC and other technologies be utilised to improve supply chain monitoring?
- Visions for the future – what role will blockchain and smart contracts play?