Tag: Member Event

APMS Conference

APMS 2021 Conference Special Session/Track on Integrated Manufacturing & Service Operations Management for Product- Service Systems

Over the past 12-months there has been an acceleration of the use of digital within the PSS context as remote forms of support have been developed and deployed in the field allowing new collaborative approaches that support value cocreation. This shows new models of integration of manufacturing operations and service management initiatives, enabled by digital that allow these formats to be delivered. Specifically, the implementation of new formats of digitally-enabled value propositions supports innovative forms of asset management, operations and maintenance during the product-service lifecycle. This leads companies to capture new aspects into their product-service system and allows conversions, modifications and upgrades to extend the asset’s overall useful life with both a sustainable and circular view. Different analytical tools can enable new value propositions as well as improving service experience and operational efficiencies. Moreover, the new digitalized solutions help create the ideal conditions to allow the integration of third-party services; namely, system installers, maintenance-focused supplier or existing business partners (e.g. agents or distributors), who may provide service on the operational assets in place of either the customer or the manufacturer.

With the advent of new forms of integrated value propositions focusing on product-service life-cycle, process support services, asset efficiency services or processes delegation services, may thus mean that the traditional PSS models (e.g., Tukker) might no longer be valid in their existing forms. However, additional studies are needed to find new integration schemes, that support the development of emerging business modes, their value propositions, as well as to identify the best underlying technologies. This special session aims to explore different forms of integration within a product-service system context. The objectives support the aim are to:

  • develop new frameworks to describe integrated value proposition within a PSS context;
  • understand and characterize different digitally-enabled value propositions;
  • identify how new technologies enable new value propositions;
  • describe how to better integrate circular economy aspects into the existing value propositions and business models.
    Qualitative and quantitative papers are requested for this session rather than literature reviews.

Big Data Leadership


Big Data Leadership


17:00 – 20:00

Lassalle-Haus, Bad Schönbrunn

​Co-organiser – Data Ethics Expert Group, Swiss Alliance for Data-Intensive Services

​Big Data verspricht, die Arbeitswelt zu revolutionieren. Alles soll effizienter, schneller und objektiv messbar werden. Aber wer bestimmt eigentlich darüber, wie die Arbeitswelt der Zukunft aussehen soll? Welche Auswirkungen haben neue technologische Entwicklungen auf Mitarbeitende, Entscheider und Bürger? Und welche Formen von Leadership braucht es, um die digitale Zukunft verantwortungsvoll zu gestalten?


Use Case Talks Series: Challenges in Time Series Prediction

We enjoy in-depth technical discussions and exchange information about interesting technical challenges among industry, academic and individual members in the Use Case Talks Series of the alliance! In a relaxed atmosphere with about 15 – 30 members of the alliance we will brainstorm about possible pathways towards solutions for the presented challenges. Each speaker presents his or her use case in 25 minutes followed by discussion of about 20 minutes.

The next use case talk will take place
20.04.2018, 17:00 – 20:00

at the premises of our host AWK Group. Please find a map here.

A small apero will be kindly provided by our host and member AWK.

Please register by providing your Name, Email, and Organization by email to alexander.grimm@aspaara.com by Wednesday, 18.04.2018

We will feature two use case talks:

Use Case 1
Dr. Michel Philipp

Advanced Analytics Solutions for the NOVA Platform

SBB-IT is currently developing a new standardized platform called NOVA (Neue ÖV Anbindung) that provides distribution services to ticket channels of all transportation providers within the Swiss public transport network. In this talk/workshop, we will discuss our ideas for advanced analytics solutions for improved monitoring, alerting and error handling on the NOVA platform.

Use Case 2
Dr. Peter Kauf, Prognosix

Ideas on how to predict rare event time series with potential use of aggregate information.

Prognosix is currently working in various prediction projects, where we are successfully using machine learning methods on e.g. demand in distribution centers, regional harvests, regional road accident risks. But how do we predict time series at a single site, e.g. demand in a small store, harvest at a single producer’s farm or accident risks on a 2km piece of road? These sites are typically exposed to a high amount of randomness, but also to relevant systematic effects. In this use case talk, we would like to discuss approaches and ideas for separating these systematic effects for single site forecasts, potentially making use of aggregate information.

Smart Services Summit – Hot topics in applied smart services

In this workshop, we want to foster the discussion about hot and relevant topics in data-driven services / smart services. Participants will get directions for their own digital / smart service innovation activities. Our objective is that we can find three themes that could make interesting H2020 research projects.

Application of data-driven smart services in industry and manufacturing including the consumer perspective (B2B2C).

Innovation dimensions:

• New value propositions based on data

• Human integration and change management

• Operational efficiency

Date: 6th September 2018, 13h – 17h Preceeded by an optional lunch

Place: Hochschule Luzern Technik und Architektur, Technikumstrasse 21, CH- 6048 Horw

More Information

Match-Making Event

We are happy to invite you to our first Match-Making Event: taking place on the afternoon of September 12 at BFH Bern Brueckenstrasse (13:30 – 17:00), the objective is to bring together specific collaboration ideas from Academic and Industrial members, sharpen them in a joint discussion, and find best fits amongst the participating experts for pushing the ideas forward, setting up projects and creating tangible innovation.

The event is set up in the form of a workshop. Every participant will share an innovation idea* for which he/she searches partners within Data+Service:

Academic members can present ideas based on their research results, for finding appropriate application partners for a research project, or for getting useful data from industry to support the research.

For Industrial members, the event is an opportunity to discuss ideas, get feedback or inspiration for solution approaches, and of course to find appropriate project partners among the researchers or experts from other companies.

Basic requirements:

Every participant brings a collaboration idea to the event, provided by a poster or an B1 flipchart.

You get 3 minutes to explain shortly what it is about.

Then we have in smaller groups time for discussion.

As suggestions, show up with two persons for an active Match-Making.

Register via e-mail until 5th September to info.office@data-service-alliance.ch

* If you want to participate but don’t have an idea of your own, get in touch with Gundula.

Date & Time: 12.09.2018, 13:30 – 17:00

Venue: BFH, Brueckenstrasse 73, Raum P114 (Pavillon 1 Floor)

Use-Case Talk Series on Artificial Intelligence!

Location: ZHAW Lagerstrasse 41, Zurich. Room number  ZL O2.10.

Interesting discussions at the networking apéro are included! The Use-Case Talks Series will take place in ZHAW Lagerstrasse on Wednesday, 31.10.2018, at 16:00. The Use-Case Talk Series is organized by Aspaara Algorithmic Solutions AG on behalf of the Swiss Alliance of Data-Intensive Services. The participation is free of charge.

For registration please write an email (Name, affiliation and position) to alexander.grimm@aspaara.com. The number of places is limited!

Program (31.10.2018)

  • 16:00 Introduction by Alexander Grimm (CEO Aspaara Algorithmic Solutions AG)
  • 16:15 First Talk – Prof. Dr. Thilo Stadelmann (25 minutes talk + 20 minutes QnA): Challenges, Results and Lessons from the DeepScore Project.
  • 17:00 Demonstration — Dr. Lucas Fievet (10 minutes Demo + 5 minutes QnA): “Learning code migrations” reinforcement learning and keyword proximity used for automatical translation of computer code.
  • 17:15 Break (15 minutes)
  • 17:30 Second Talk — Dr. Christian Spindler (25 minutes talk + 20 minutes QnA): Recent progresses in assessment techniques for black-box systems to build trust in AI.
  • 18:15 Apéro

Weihnachtslounge Innovation program “Manufacturing technologies”

VNL Switzerland, the AM Network and the Data+Service Alliance are pleased to invite you to the Christmas Lounge 2018!

Innosuisse’s “Manufacturing Technologies” impulse program forms an interface between logistics, IT and manufacturing. Help Switzerland remain one of the leading countries in the development and application of digital technologies. Post your ideas, ask questions and exchange ideas with members of the 3 National Thematic Networks during an apero.

Date: 11.12.2018

Location: Technopark Zurich, Room Cobol, Technoparkstrasse 1, 8005 Zurich

Time: 16:30 – 18:30

Register via email to info.office@data-service-alliance.ch

Subject: Innovation Program Manufacturing Technogoies

Text: Register FULL NAME

Open source tool for data manipulation – KNIME


Open-source tool for data manipulation – KNIME

This Workshop on Data Science brings together researchers and service leaders in order to share knowledge and support projects with data science tools. The goal of the Workshop is to share knowledge on data science principle, tools and applications. You will get an overview of the Innosuisse National Thematic Networks (NTN) – Swiss Alliance for Data-intensive Services (data+service).

Date : 16.01.2018
Time : 14h-16h00
Place : Room 06, HES-SO Master, Avenue de Provence 6, 1007 Lausanne
Registration : https://www.eventbrite.fr/e/billets-innosuisse-ntn-workshop-on-data-science-52901283162

Find more information here.

Use-Case Talks Series – Best Practices in Data Science Projects

Use-Case Talk Series: Best Practices in Data Science Projects

Zurich Technopark
(hosted by Aspaara Algorithmic Solutions AG)

What are the best practices in Data Science projects? We will gather and share knowledge about reproducibility of results, practical guidelines for data acquisition, algorithm development, computational analysis and how to organise data science tasks in a modular manner.

Besides technical practices we also touch business related ones: How to define key question, how to test and validate models on a regular basis?


For registration please write an email (Name, affiliation and position) to us.  The number of places is limited!


16:00 Introduction

Alexander Grimm, CEO Aspaara Algorithmic Solutions AG

16:15 Use-Case Talk 1: Is Fair Benchmarking Possible? (25 minutes talk + 20 minutes QnA)

Dr. Thomas Herrmann, Dozent ZHAW IDP

17:00 Live Demonstration (10 minutes Demo + 5 minutes QnA)

Dr. Holger Rommel, ti&m, Head Research & Digital Transformation

17:15 Break (15 minutes)

17:30 Use-Case Talk 2: Learning from the data science trenches (25 minutes talk + 20 minutes QnA)

Marc Schöni, Microsoft, Technical Specialist for AI & Advanced Analytics

18:15 Apéro and Networking

We look forward to seeing you at the Use Case Talk Series 2019!

If you have any question or concern please do not hesitate to contact us.

Talk 1: Is fair benchmarking possible?

Abstract: Benchmarking is both a curse and a blessing: on the one hand it is essential to assess its own position compared to those of the competitors, on the other hand benchmarking is also used to set target in order to increase productivity and efficiency. In my presentation I will show a quantitative method how to make fair comparisons to identify best practice and how to avoid unrealistic targets that can otherwise lead to demotivation and lower productivity.

Speaker: Thomas Herrmann studied mathematics at the Swiss Federal Institute of Technology (ETH) and subsequently worked intensively on timetable creation and new operational possibilities in the field of traffic management for railways during his dissertation. Thereafter, he worked in the private sector for more than 12 years until summer 2018. During this time he conducted several studies in the field of infrastructure management for roads and railways, including benchmarking. Now he is a lecturer at ZHAW, at the Institute for Data Analysis and Process Design (IDP).

Talk 2: Learning from the data science trenches

Abstract: Delivering data science projects is top of mind for many organizations. But how do you ensure that projects are successful and what should you be cautious about? Come to this talk to hear from Marc Schöni about this.

Speaker: Marc Schöni holds a Master’s degree in Data Science and works as a Technical Specialist for AI & Advanced Analytics with Microsoft in Switzerland. On a daily basis, he engages with customers to help them identify suitable first use cases and the most appropriate technologies for successful implementation.

Subscribe to our newsletter: