Connected Industry

Hear from an industry leading analyst about the latest trends, investments and market insights for IoT developers, vendors and service providers.

The development and implementation of cognitive computing within industries is growing at a rapid pace. We will look at how Humans and Robots can effectively and safely work together to increase areas of manufacturing including: 

• Efficiency  
• Sustainable costs 
• Mass customisation

• 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, connectivity solutions etc.. 
• Connecting and future-proofing legacy machines and equipment – Examining the methods, results and pain points
• Seeing IoT as a business project, not an IT project

The future of manufacturing and many other industries is moving from descriptive to prescriptive analytics and operational intelligence; even beyond this to adopting machine learning and AI into the management of its IoT devices.  What will this shift do to the existing role of IoT in businesses? Moving from reactive to predictive industrial operations and the value of connected assets. 

Also, what are the benefits and dangers to those using IoT devices? What can predictive platforms or devices that can autonomously adjust parameters based upon measured and received data, or AI that creates its own rules and outcomes based on learned experiences play within the modern business?  Real life examples from across the industrial IoT and the progression from Industry 4.0.

to follow soon . . .

Bringing the Cloud “closer to the ground” – Fog or Edge Computing allows for the Cloud to reach ‘things’ on the edge of networks. What is the role of the new paradigm of Fog/Edge Computing the IoT? We will hear about IoT use cases – What are the challenges when prototyping IoT devices and how Fog can secure the IoT.

• 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 machine learning 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.

to follow soon . . .

Utilising Additive Manufacturing to build desired structures and products is becoming a global trend in Industries. While being resource and cost effective, an example of 3-D printing allows for lightweight designs and a greater range of product sizes and solutions. Decentralised Rapid Prototyping and Selective Laser Sintering (SLS) create high performance, reduces transport distances and stock on hand. With the development of Additive Manufacturing seeming to have no limitations, what can be expected of such revolutionary technology?

Hear from an industry leading analyst about the latest trends, investments and market insights for IoT developers, vendors and service providers.

Industry 4.0 and the unstoppable rise of automation is redefining manufacturing processes once and for all. Manufacturers are presented with the challenge of updating and digitising their systems as a means of future-proofing their businesses and staying ahead of the industry curve. This talk will look at how Process Automation allows for real time overall equipment effectiveness (OEE) information and how this data can be utilised for competitive advantage.

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. Advancements in smart lighting, temperature control and smart security systems add to the potential of a digitally integrated system. This talk will look at how all of these processes harmonise and enable more informed decisions, including: 

• Reduction in service costs 
• Lower energy consumption and increased efficiency 
• Process Automation – Moving beyond IoT to intelligent objects 
• Innovative production – What’s the next addition to the evolving smart factory?

• The five key capabilities that every SME needs to embrace in order for success in digital design & manufacturing
• Top three barriers to progress for an SME
• Doing nothing, what is the real impact?
• Case Study: How Digital catalysts can enable real progress

• With the focus of open source hardware, software and hybrid on the technology innovation rather than loyalty to operators and suppliers, where does this leave technology providers in an expanding market? 
• Is flexibility of out-sourcing and in-sourcing resources the most important factor in Industry 4.0? 
• How open source solutions allow for improved interoperability, increased innovation and more economical efficiency

• Integrating OT with IoT in the modern enterprise – Challenges such as technology, culture, standards and security 
• Looking at the way in which IoT-enabled manufacturing can provide visibility of resources, assets, processes for enhanced productivity and better ROI 
• Smart access points – How mobility, logistics, buildings, products, services and grids impact the business models 
• How Artificial Intelligence (AI), Machine Learning, and Virtual Reality (VR) impact on manufacturing

to follow soon . . .

• Journey from a disconnected world into a streaming data platform – Does enabling IoT improve on KPIs for production, cost consideration and resource consumption? 
• Data Challenges in a research organization – Is a reusable pattern the solution? 
• Moving analytics to the edge – What is the right data to collect from your legacy equipment and how to get it fast