Keynote Speakers

Keynote 1. By Juan Manuel Corchado

October 3, 2019

IA for industrial predictive maintenance

Artificial Intelligence (AI) is the driving force of growth in the world and therefore it is an extremely topical subject nowadays. The ever-greater developments in the field of artificial intelligence have sparked conversations of its potential in different sectors (society, business, government, etc). AI has been here for ages but now we have all we need to make it a reality; computing power, storage capacities, communications technology and man power. With all these resources we can become more efficient by incorporating AI into our daily activities.

Blockchain is the technology behind bitcoin, ether and most of the other cryptocurrencies. Blockchain is essentially a form of record keeping and can be used in almost any product that uses some form of record keeping or database management. Blockchain is ideal for protecting any data that must be unalterable and indestructible.

Edge Computing streamlines the flow of traffic from IoT devices and provides real-time local data analysis. Instead of a centralized data-processing warehouse, this paradigm processes the data near the edge of the network, where the data is being generated. Edge computing accelerates data-streaming, including real-time data processing without latency. It allows smart applications and devices to respond to data as they are being created, this almost instantaneous response eliminates lag time. This is critical for technologies such as self-driving cars and has equally important benefits for business. Edge computing, therefore, allows for efficient data processing near the source, reducing Internet bandwidth usage, this both eliminates costs and ensures that applications can be used effectively in remote locations. In addition, the ability to process data without ever storing it in a public cloud is another layer of security, useful for sensitive data.

AI, blockchain and edge computing are allies and complement each other. AI models should be adapted to satisfy the needs of IoT Blockchain based distributed systems and this key note will provide some alternatives that merge these three technologies in industrial environments where predictive maintenance is a critical issue. 

Keynote 2. By Duncan McFarlane

October 4, 2019

Digital Manufacturing on a Shoestring: Low Cost Digital Solutions for SMEs 

Abstract: One of the key findings in a number of recent studies has been that small and medium sized manufacturers (SMEs) have been slow in adopting digital solutions within their organisations. Cost is understood to be one of the key barriers to adoption. Digital Manufacturing on a Shoestring is an approach to increasing the digital capabilities of SMEs via a series of low cost solutions. The programme proposes using off-the-shelf, (possibly non-industrial) components and software to address a company’s (digital) solution needs, adding capabilities one step at a time with minimal a priori infrastructure required. This paper will introduce the Digital Manufacturing on a Shoestring programme as a whole and demonstrate the way in which it addresses the need for low cost digital solutions for SME Manufacturers. It will discuss challenges associated with integrating low cost technologies into industrial solutions and the style of IT architectures

Biography: Duncan McFarlane is Professor of Industrial Information Engineering at the University of Cambridge, head of Distributed Information & Automation Lab, chairman of Redbite Solutions Ltd, Fellow of the IET and Visiting Professor at University of Melbourne. He has been involved in the design and operation of industrial automation and information systems for twenty five years.  His research work has been in distributed, intelligent industrial automation, reconfigurable control systems, resilient control, RFID integration, track and trace systems, IoT and valuing industrial information.  He leads the Cambridge – Boeing Research Programme which in 2018 won Boeing’s Innovation Supplier of the Year Award.  He leads the Digital Manufacturing Programme at Cambridge, is currently part of the UK Digital For Industry D4I steering group, and member of the executive committee of the UK Connected Everything EPSRC network. He is a visiting Professorial Fellow at University of Melbourne involved in the development of Manufacturing and Industrial Systems Engineering programme. Most recently he has become PI on the new Digital Manufacturing on a Shoestring programme which is seeking to use off the shelf commercial digital technologies to provide low cost digital solutions for SMEs.