Day 1 - 19 June 2019

09:30AM

Connected Industry: Chair’s Welcome and Opening Comments

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

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09:50AM

Moving from Industry 4.0 to Industry 5.0 & Human-machine interaction

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
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10:20AM

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, 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
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11:00AM

Networking Break

11:30AM

Miroslaw Ryba

EMEIA IoT Leader

EY

Associated Talks:

11:30AM - Day 1

View Industrial Internet of Things – The Now and the Future

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Industrial Internet of Things – The Now and the Future

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.

. Miroslaw Ryba, EMEIA IoT Leader, EY
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12:00PM

Yehuda Hofri

CTO | CDO

Transdev

Associated Talks:

12:00PM - Day 1

View The role of Artificial Intelligence and Data in Machine learning for Industry

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The role of Artificial Intelligence and Data in Machine learning for Industry

The future of machine learning for industry is here, with the application of Artificial Intelligence, data centres and big data allowing for optimisation of processes and solutions. This session will look at the impact of this on industries, including: 

  • Understanding the data – Making the most of predictions 
  • The impact of machine learning on economic performance 
  • Moving beyond just connecting things – Connecting, people, machines and platforms 

From this, we ask the important question – Where should the responsibility behind AI lie?

. Yehuda Hofri, CTO | CDO, Transdev
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12:30PM

Networking Lunch

02:00PM

Senior Representative, Wonderware

Associated Talks:

02:00PM - Day 1

View Afternoon Keynote: Using Fog Computing to secure the Cloud and Industrial IoT

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Afternoon Keynote: Using Fog Computing to secure the Cloud and Industrial IoT

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. 

. Senior Representative, Wonderware, ,
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02:30PM

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 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.
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03:10PM

Networking Break

03:40PM

Adrien Bécue

Head of Research &Innovation

Airbus Cybersecurity

Associated Talks:

03:40PM - Day 1

View Security of Industrial IoT and Application to Aerospace Manufacturing Sector

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Security of Industrial IoT and Application to Aerospace Manufacturing Sector

ENISA defines IoT as “a cyber-physical ecosystem of interconnected sensors and actuators, which enable intelligent decision making”. It is meant to provide continuous cycle of sensing, decision-making, and actions, enabling of Smart Infrastructures such as Industry 4.0, smart grids or Smart transport. IIC[1] defines IIoT as systems “that connect and integrate different types of control systems and sensors with enterprise systems, business processes, analytics and people”. A main difference with regular IoT is the prevalence of Operational Technology (OT) and the related consideration for safety in the management of security aspects. IIoT shuffles traditional security methods by bridging IT and OT to a level of imbrication that invalidates any former prioritization of resilience, privacy, security and reliability requirements. Security of data, assets, environment and people consequently stand as equal in importance and intrinsically interdependent. IIoT also stands as one the key enablers for Industry 4.0 transition, concept originally defined by an eponym German governmental project as fostering strong customization of products under the conditions of highly flexible production, introduction of methods of self-optimization, self-configuration, self-diagnosis, cognition and intelligent support of workers in their increasingly complex work. Assuming that not only the production means, but also the product themselves tend to be more and more continuously connected, radical concepts like CMfg[2] have emerged, that plead for massive collection of design, production and operation data into unified data lakes, enabling dramatic optimization in product lifecycle management such as continuous design improvement, systematic on the flow product quality control or predictive maintenance. In that landscape, IIoT can be seen as the very critical link between the physical world and the digital world, shortcutting many layers of traditional architectures for Industrial Control Systems like the reference PERA model[3] and thus making traditional ICS security doctrines obsolete. Like other industries, the aerospace sector is looking towards Industry 4.0 and CMfg, considering the potential benefits against related risks and investments. The rationale behind it must be refined with proper identification of sector specificities which may significantly affect the applicability and effectiveness of such production models in aerospace domain. Noticeable particularities are: long life-cycle of aerospace products and manufacturing tools, predominance of specific tooling as opposed to standard equipment, relatively short production series, high customization of products, very stringent regulation on safety and security, high public sensitivity to air transportation accidents, large supply chain, widely (geographically) distributed operation & maintenance network. In this presentation, we will first present an overview of opportunities and risks related with the use of IIoT in general. Then we will point out specific use-cases and misuse-cases for IIoT specifically in aerospace sector, considering the full product lifecycle but with a particular focus on manufacturing.

[1] Industrial Internet Consortium: see Industrial Internet of Things Volume G4: Security Framework

[2] The concept of Cloud manufacturing was initially proposed by the research group led by Prof. Bo Hu Li and Prof. Lin Zhang in China in 2009

[3] Purdue Enterprise Reference Architecture:  developed in 1990 by J. Williams and members of the Industry-Purdue University Consortium for Computer Integrated Manufacturing

. Adrien Bécue, Head of Research &Innovation, Airbus Cybersecurity
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04:10PM

Richard Allbert

Head of Digital Innovation

Pirelli

Associated Talks:

04:10PM - Day 1

View The Cultural Change Needed in Industry

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The Cultural Change Needed in Industry

This talk will be given by Richard Allbert, Head of Digital Innovation for Pirelli

. Richard Allbert, Head of Digital Innovation, Pirelli
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04:40PM

Session Close

Day 2 - 20 June 2019

10:00AM

Connected Industry Day 2: Chair’s Welcome and Opening Comments

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

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10:20AM

The Future of Manufacturing – 2019 and Beyond

  • Discussing the shift in manufacturing from a product focus to being outcome orientated and how this leads to an end-user focused result 
  • Examining new factory concepts enabled by the ‘Industrial Internet’ – Utilising smart buildings and smart machinery 
  • Results in terms of Capex, Opex and reductions in energy consumption and increased efficiency 
  • The future of the workforce – How will digital labour in manufacturing transform the skills mix and the focus of tomorrow’s workforce
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10:50AM

Panel: Factories of the future

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?
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11:30AM

Networking Break

12:00PM

Mirko Wutkewicz

Head of Digital Accelerator

Siemens

Associated Talks:

11:00AM - Day 2

View Panel: Predictions, IoT 2020 and Beyond

12:00PM - Day 2

View Siemens Presentation

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Siemens Presentation

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.

. Mirko Wutkewicz, Head of Digital Accelerator, Siemens
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12:30PM

Open Source Software, Hardware and Hybrid innovation for Industry 4.0

  • 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
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01:00PM

Networking Break

02:00PM

Industry 4.0 Business Models

  • 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
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02:30PM

Which IoT Security System is best for Secure Manufacturing?

A robust security system for your industrial IoT (IIoT) network is vital in numerous ways; not only does this allow for supply chains to function at top capacity, but also ensures competitors are not able to gain access to your businesses key information e.g. Blueprints and product breakdowns. This talk will cover the key breakdowns of what to consider when choosing your IIoT security system, including: 

  • What type of security technology should you implement and where? Is a multi-layered system most effective for protecting IIoT networks? 
  • Is Internetworking the solution for connecting private data between end users, contractors and vendors? Pros and cons for a difficult V simplistic IIoT security system to defend yourself from cyber-attacks.
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03:00PM

Connectivity and Interoperability of Legacy Equipment

  • 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
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03:30PM

Session Close