Automation, Business Models, IIoT, Industry 4.0, Interviews

Industry of Things World Berlin Interview with Matthias Roese, HPE

Matthias Roese

Matthias Roese
Chief Technologist Global Manufacturing, Automotive and IoT, HPE

Matthias Roese

Matthias Roese
Chief Technologist Global Manufacturing, Automotive and IoT, HPE

About Matthias Roese:
Prior to the Industry of Things World conference in Berlin we spoke with Matthias Roese, HPE. Matthias serves as global Chief Technologist for Hewlett Packard Enterprise´s Industry Vertical Manufacturing, Automotive & IoT, based out of Germany. For the past eight years, Matthias has worked in HPE´s consulting in which he was seasoned in developing solutions for customers in manufacturing, utilities and telco. Together with his former experience within Siemens he provides expertise in both, the OT and IT world.

Most of the recent engagements were driven by the customers LoB, with a clear focus on real business outcomes (with changing business models), rather than classic IT measures. Bridging the gap between business and IT became crucial for the majority of the companies and Matthias is one of the leaders within HPE driving this opportunity. Matthias joined HPE from Siemens in 2006.

About his session at the Industry of Things World:
Matthias will host a Breakfast Briefing Workshop with the title “Digital or dead – really, how can AI enable almost every industry”. There he will showcase examples from several industries driving towards digital and discuss various IoT/AI-driven approaches based on the participants peers’ experiences.

Dale Rickert: Welcome Matthias, let’s start by asking what is the Industrial Internet of Things and why do people believe that it’s going to change the way we do business?

Matthias Roese: Traditional definitions of IIoT had a strong emphasis on things being connected, they reflected a network-centric and cloud-centric perspective on industrial digitization. But we’re now seeing a shift towards focusing on the data generated by the things and their capability to analyze and act upon that data – if necessary also without being connected to a remote intelligence. This is accompanied by a shift towards edge computing.

In essence, the goal of IIoT is to capitalize on the vast amounts of data that are created in industrial environments, enabling intelligence and autonomy of industrial equipment and processes. This is at the heart of visions like mass customization or closed-loop manufacturing, and it’s the key enabler for the shift from product-centric to services- and platform-centric business models. However, the issue is that the industry only exploits a fraction of the economic potential of their data. So, there’s big promise, but still a lot of work to do.

Dale Rickert: The principles behind IIoT (certainly connectivity and data analytics) have been in existence for a while now… why has it taken so long for it to become established and really bring measurable benefits back to industrial enterprise?

Matthias Roese: IT technologies have already brought huge benefits to the industrial sector. Consider the level of automation which has strongly increased over the past decades – as an example, today there are on average 630 robots per 10,000 workers in the industrial sector in South Korea. However, this is often times a static automation, focused on efficiency.

The core ideas of Industry 4.0, on the other hand, are centered on flexibility, self-configuration, and autonomy which in turn enable new processes and business models. Broadly speaking: the industry now has to take the step from automation to autonomy. This is a challenging transformation that affects all levels from technology to processes, organizational structure and culture.

Dale Rickert: When you look at IIoT transformation projects, what’s the most common easily avoided mistake you see within the industry?

Matthias Roese: It probably sounds strange, but from a technological perspective we can do almost everything. There has been huge progress in fields like artificial intelligence and real-time computing in the past years, and the technology has become increasingly affordable – the consequence being that concepts like self-configuring machines or digital twins are no major challenge from a technological perspective. It’s primarily the people, the processes, the interdepartmental boundaries – for example between operational technology and information technology departments – which make these projects difficult. Thus, engage early, be transparent, set achievable goals. Just like a good working race team, the whole racing car collapses when anyone in the team does not deliver their part to it.

Dale Rickert: When you think of the best examples of IIoT implementation projects, what is it that they do differently?

Matthias Roese: Successful projects are mostly the ones with a team really standing behind the goals, understanding them, delivering against them. These teams include people who understand the matter, experts from different divisions, bringing in different perspectives and pushing to the desired outcome. And last but not least, you obviously need a leadership team which generates a climate of drive, passion, and success.

Dale Rickert: How can your services give companies the edge in terms of smooth implementation and fast payback for their IIoT projects?

Matthias Roese: Our main priority is understanding our customers’ priorities, the macro-economic environment they operate in, as well as the different stakeholders we have to engage with. We strongly believe in the idea of “think big, start small”. We know, we need a long-term goal, but there are lots of quick wins on the way. We prefer making stuff happen over making slides. Don´t get me wrong, you need a plan, but following DevOps methodologies is really successful and way more fun!

Dale Rickert: You have decided to get actively involved in our Industry of Things World conference in Berlin this September, what do you hope to achieve by participating in this conference?

Matthias Roese: We have been a partner of the conference from the beginning, and as the conference evolved, we evolved. At HPE, we started years ago as a small team of Industry 4.0 enthusiasts, and today we are a global industry practice for manufacturing, automotive and IoT. I want to highlight the great groundwork Johannes Diemer did – both for HPE’s Industry 4.0 practice and for Industry of Things World. At the conference, we will show participants how to drive innovation and how to enable IIoT projects – but probably the most important part at Industry of Things World is interaction with people, sharing the passion and enthusiasm for the next chapter in the digitization journey.

Dale Rickert: Can you tell us a bit more about what topics you and your HPE colleagues will be focusing on in your sessions at Industry of Things World Berlin?

Matthias Roese: Our focal point is the concept of closed-loop manufacturing, one of the most sophisticated forms of capitalizing on data in the industrial value chain. It means, for example, that you leverage product-usage data to improve product design, forecasting, production planning and service, or establish new, usage-based revenue models. Capturing, processing and analyzing data is at the core of this concept, and we’ll show concrete examples how this can be accomplished and deliver value. This includes, among others, solutions to facilitate employee-oriented tasks, for example augmented reality combined with findings from an AI-based system.

Also, we´ll show what IoT can do to the favor of our fellow colleagues on the shop floor in terms of safety. Quality assurance is also a big topic, where we will demonstrate a video analytics solution with one of the startups we´re working with as part of a global startup program.

Dale Rickert: Thanks for this background and I’m sure the participants will really benefit from your insights during your session. Before we wrap this up, is there anything else you would like to add about the conference or about applying IIoT to manufacturing challenges generally?

Matthias Roese: Frankly, just start. Transformation is hard, we know this, but benefits are huge, if you focus on the right tasks. The selection of the right use cases is the most critical task. For this reason, we typically support our partners with a consultative approach, gathering ideas, verifying they are financially viable and then – bring them to life. Sounds simple, but it really helps!

Dale Rickert: It has been a pleasure speaking with you today, Matthias. We look forward to meeting you in person at Industry of Things World in Berlin.