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Tag: Business Models

Expert Day & General Assembly

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Immerse in one of four expert groups

  • Spatial Data Analytics
  • Big Data and AI Technologies
  • Blockchain Technology in Interorganisational Collaboration
  • Data-Driven Business Models

and exchange expertise. Get inspired by the keynote and network during the coffee break. For data innovation alliance members the event is followed by the General Assembly and an apero. Let’s foster the community for Applied Data Science in this event.

Agenda

  • 13:15 Welcome
  • 13:15 – 14:45 Expert Groups in 4 Breakout Rooms
  • 14:45 – 15:30 Coffee break
  • 15:30 – 16:00 Keynote – Erika Meins,  La Mobilière «Using the Force of Analytics for Responsible Digital Interactions»
  • 16:00 – 16:15 Break
  • 16:15 – 17:15 General Assembly (formal part)
  • 17:15 Apero

Detailed Program

13:15 – 14:45 Expert Groups (running in parallel):

Expert Group: Spatial Data Analytics – Geospatial insights for all – from unique applications to future trends
The Power of Where – this frequently used statement underscores the importance of spatial data and spatial data analytics. All people interested in spatial data are invited to actively participate and/or get an entertaining insight into the world of geospatial data.  Take the opportunity to make new contacts and exchange ideas with experts from industry and research.
In this open event, we will take a tour of your favourite datasets, look at the most unusual and fun applications, and discuss together trends in geospatial data and future challenges. Of course, current infrastructure topics such as low code platforms (GEE & friends), new machine learning concepts and applications (image segmentation, tiny ML & Co) and data creation/access developments (Open Data & GDPR) will not be missed. Intellectual nourishment is guaranteed.

Expert Group: Big Data and AI Technologies
De-buzz AI, Thierry Bücheler, Oracle
«AI» is discussed as the solution for many problems on almost all levels – from exec boards down to the deepest and darkest hacker hide-outs. But what is it, really?
This short impulse will try to de-buzz AI to a certain extent by using real-world examples across industries, supporting the following theses:
– AI is not really about “intelligence” today
– Only rarely it is about developing algorithms
– And it is also not about bringing together data from different sources technically
So what’s the focus in real-world applications right now? What are some examples where «AI» makes a difference?
Talking to Data: Building Natural Language Interfaces for Databases, Kurt Stockinger, ZHAW
Information systems are the core of modern enterprises and scientific exploration. They are often based on fundamental research developed in the database community. While enterprise data is typically stored in relational databases, data-intensive scientific disciplines such as bioinformatics often store their data in graph databases. To query these databases, end-users need to know the formal query languages SQL or SPARQL as well as the logical structure of the databases. However, even for technology experts it is very challenging to write the right queries to retrieve the desired data. Hence, a large part of the end-users is basically not able to effectively query their databases. In this talk we discuss how to build intelligent information systems that enable end-users to talk to their data similar to humans. The major goal is to combine artificial intelligence with human intelligence for novel ways of data exploration. In particular, we will show how we have built various natural language interfaces for databases using pattern-based and machine learning-based approaches to significantly increase the productivity of scientists and knowledge workers when interacting with data. We demonstrate that our system INODE (Intelligent Open Data Exploration), which we have been building as part of a European Union project with 9 partners across Europe, is uniquely accessible to a wide range of users from large scientific communities to the public. Finally, we elaborate on the lessons learned when developing such a system and discuss how the technology can be enhanced by researchers or knowledge workers for exploring their own databases in natural language.

Expert Group: Blockchain Technology in Interorganisational Collaboration
Zurich has a new blockchain-based local currency: the “LEU”, which has already been discussed in the press.
The LEU is a currency and at the same time also a basic income that one receives by actively participating in the community. Although the LEU is based on blockchain technology, it has little to do with speculative cryptocurrencies: to receive the LEU, you have to meet regularly with members of the community. You can spend the LEU in local businesses in Zurich to promote the local economy.
The association Encointer will present the exciting LEU project and talk about the current developments and possibilities of such an alternative currency.
After a short introduction, we will cover the following topics. 
 – Introduction of Polkadot and Kusama Ecosystem.
 – Parachains and their advantages
 – Proof of personhood and sybill attacks 
 – Encointer vision, protocols and global communities
 – Status quo and field report Leu in Zurich
At the end we have some time to install the Encointer wallet and interact with it.

Expert Group: Data-Driven Business Models
Data-driven business models have become relevant to companies and organizations. According to Gartner back in 2018, 85% of AI use cases were not successful or did not live up to expectations. Where do we stand today? – What is the potential in data driven business models we still haven’t addressed – and why not? 
In this workshop, we will discuss success factors & challenges of AI projects. Among experts and practitioners we will exchange our experiences and share insights. As a take away, we will be equipped with a set of hands-on best practices, ready to be applied in our environments.

15:30 – 16:00 – Keynote Speech
Erika Meins, La Mobilière, Head of Mobiliar Lab for Analytics at ETH Zurich“Using the Force of Analytics for Responsible Digital Interactions”

Virtual Reality to reduce stress, telematics to prevent road accidents or augmented reality to improve collaboration? Erika Meins illustrates some of the opportunities of advanced analytics and new digital technologies for society – and provides a brief look at the dark side.

Expert Group Meeting – Business Models for Data-Driven Services

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We are happy to invite you personally to the next Expert Group Event. The event will be both in person and online.

Please register for the Expert Group Event by accepting the invitation sent to you by mail or using the form below.

Program:

5:00 pm
The window to engine data visibility is open wide
– incl. Q & A

5:30 pm
Finding the missing Link in 500 federal folders comprising over 100’000 pages of evidence
– incl. Q & A

6:00 pm
Networking Apéro

Talk 1
The window to engine data visibility is open wide
Dr. Markus Wenig, Team Leader Autonomous Systems, Winterthur Gas & Diesel (WinGD)

WinGD’s Integrated Digital Expert (WiDE) system is a comprehensive performance monitoring system that supports crew on vessels and on shore by delivering business-enhancing, actionable insights from engine and ship data.
WiDE’s performance analysis and condition monitoring is based on a tailored digital twin model of the main engine that combines detailed engine configuration and tuning with the specific engine’s factory test and sea trial results. This digital twin is compared to real-time performance to identify differences and highlight opportunities to optimize the main engine operation and offer early warning of potential faults, malfunctions or maintenance requirements. Some key benefits are: (1) Performance monitoring and optimisation advice tailored specifically for your engine; (2) Possibility for enhanced remote services supporting crew interventions on board; and (3) Allows extended real-time engine data sharing to enhance integration with on board energy management and voyage optimisation systems..

Biography: Dr. Markus Wenig
Markus Wenig holds a PhD in mechanical engineering from the University of Stuttgart and a Master of Advanced Studies (MAS) from ETH Zurich in the area of Management, Economics and Technology. Markus joined WinGD in 2017 as a simulation expert before transferring as team leader Autonomous Systems to WinGD’s newly founded Digital Transformation and Technology department in 2020. He and his team support the development of digital products and services such as digital twins, AI/ML based models, and hybridized powertrain solutions. In 2019 Markus has joined the CIMAC association as secretary of CIMAC WG20 ‘System Integration.

Talk 2
Herlock.ai – Finding the missing Link in 500 federal folders comprising over 100’000 pages of evidence
Barbara Müry, CEO Herlock.ai

For the compliance and legal profession, the exponential growth of data is both a threat and a promise. A threat, because finding crucial facts buried in hundreds of thousands of documents is hard. A promise, because proper management, analysis, and interpretation of data provides a competitive advantage and full transparency during all stages of investigations.
Herlock.ai has been used in a recent Swiss legal case that has received high media coverage. 500 federal folders that physically fill entire walls of shelves were an unprecedented challenge for the involved parties. The quick search and navigation is a key tool and the analytics we provided were used for official submissions to the court.

Biography: Barbara Müry
Barbara holds a Master’s degree in Psychology and Law from the University of Zurich and later studied Financial Accounting and Marketing Management at Harvard University. She has worked in various management positions at Swiss Global Enterprise and Credit Suisse, as well as at a leading communications agency.

Please register for the Expert Group Event by accepting the invitation sent to you by mail or using the form below.

We are looking forward to welcoming you personally!
Kind regards,

Daniel Wörner, Patrick Buck
on behalf of the Expert Group

ONLINE – Expert Group Meeting – Business Models for Data-Driven Services

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The Expert Group invites all members to participate in this event, featuring two talks, followed by Q&A.

Program:

17:00: Data chains enabling value creating in automotive ecosystems – incl. Q & A
17:30: Digital transformation in legal industry – showcased on Swiss Data Protection Act (DPA) – incl. Q & A

Talk 1: Data chains enabling value creating in automotive ecosystems
Timo Albers, Digital Strategy, ZF Friedrichshafen

End-to-end data exchange for all participants in the automotive value chain? It sounds like a dream, but it could become a reality soon. Catena-X is a rapidly scalable, expandable ecosystem in which all participants in the automotive value chain can participate equally. In particular, this platform strives to boost SMEs’ digital maturity. The goal: providing an environment for the deployment, operation, and collaborative use of end-to-end data chains along the entire automotive value chain.

Biography: Timo Albers
Timo Albers is responsible for Digital Strategy and Ecosystems within the Electrified Powertrain Division at ZF Friedrichshafen. In his role, he develops holistic, interdivisional digital concepts and strategies based on I4.0, digital processes, and digital products and services. Furthermore, as a project manager for the topic of traceability at CatenaX, he fulfills his role for ZF in the ecosystem and creates synergies across the value chains.

Talk 2: Digital transformation in legal industry – showcased on Swiss Data Protection Act (DPA)
Jacqueline Stählin

The exponential growth of data poses the biggest challenge to the legal industry. Currently available tools do not meet the needs of lawyers when looking for the crucial facts in hundreds of thousands of documents.
We will talk about the three critical success factors of our novel eDiscovery and Consulting approach for document-intensive legal scenarios, like prosecution or due diligence of company transactions: Transparency, tailoring to legal system and analytics services.
In a hands-on demo, we show how lawyers can leverage state of the art technology to gain accuracy and increase cost efficiency. The solution is based on a search engine on cross-referenced and context-enriched documents facilitated by NLP.
While actual projects are highly confidential, the demo makes use of the Swiss data protection act (DPA) legal corpus as well as commentaries (e.g. by FDPIC) to illustrate the power of the approach.

Biography: Jacqueline Stählin
Jacqueline received her M.Sc. in Biology from the Swiss Federal Institute of Technology (ETH Zurich) in 2016. Her areas of expertise are data engineering, data governance and business intelligence. Jacqueline joined the D ONE team in 2017.

Please register to the event by using the form below.

We are looking forward to meeting you there!

Expert Group Meeting – Business Models for Data-Driven Services

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Program:

5:00 pm 
Remote Condition Monitoring to Master the New Normal in Maintenance – incl. Q & A

5:30 pm 
Yokoy – AI based Spend management automation  – incl. Q & A

Talk 1

Remote Condition Monitoring to Master the New Normal in Maintenance
Adriana Maldonado de Grüschow, Product Manager Digital Solutions, ABB

Many industries are currently undergoing a tremendous transformation of their previous maintenance operations. The arisen New Normal challenges the usual time-based maintenance procedures. Thus, the interest in remote condition monitoring increases significantly. To ensure safe and reliable operations in the future, sensors need to monitor the key parameters of the asset’s health. Cloud-based solutions with powerful algorithms convert lots of data into meaningful information. ABB will show us how they leverage the new conditions business-model-wise to seize the rising opportunities and simultaneously deliver more value to their customers.

Biography: Adriana Maldonado de Grüschow
Adriana Grüschow is a product manager for ABB’s digital solutions. She introduces smart solutions for remote condition monitoring of assets’ health. To provide value to customers in their digital transformation, she helps them throughout their comprehensive journey. Based on her solid education in engineering and various practical experiences in the mobility and energy sector, she drives digitalization in the electric motion industry.

Talk 2

Yokoy – AI based Spend management automation
Thomas Inhelder – Co-Founder

Yokoy brings AI into finance departments of medium sized, large and enterprise clients to automate the spend management. Thanks to Yokoy, an employee can hand-in expenses within seconds, whereas only outliers need to be checked by managers and the finance team. Yokoy’s artificial intelligence automates the process and makes the expense experience easy and smooth for everyone. Everything can be topped-up with a commission free credit card. One of Yokoy’s further strengths are deep integrations with ERP systems, travel management providers as well as other players in the spend management ecosystem.

All these features combined with extensive analytics function do make the life of an employee, its manager and the finance team much easier and allows to save the companies up to 90% of time and costs compared to a manual or semi-automated approach. Global companies such as Stadler Rail, Sensirion, Swissquote or Hero are already using Yokoy.

Thomas will explain the idea of Yokoy, how AI is used in the Product and why our tool is a great first step for a company to bring in AI into the organisation.

Biography: Thomas Inhelder
Thomas is CFO and Co-Founder of Yokoy Group AG. He gained audit experience during his tenure with KPMG (CPA) and deep finance knowledge as CFO of British Telecom Switzerland. In 2019, together with four others, he co-founded Yokoy in order to leverage the big potential of applying cloud computing, combined with AI knowledge to finance processes. Yokoy has offices in Switzerland and Austria, already over 250 clients and is currently expanding to new markets.

Please register for the Expert Group Event with the form below.
Participants will receive an invitation link prior to the event.

We are looking forward to welcoming you personally!

Christoph Blum, Patrick Buck
on behalf of the Expert Group

Expert Group meeting: Data-Driven Business Models

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The expert group Data-Driven Business Models invites all interested members to participate in this event.

«A business model built on continuous medical grade health data»

Dr. Philipp Vetter, VP Analytics at Biovotion

«Digital services in the mobility market: how to optimize value with co-creation»

Rubén André Lorenzo, Head of Sales at Siemens Mobility Services

​

Au Premier, HB Zürich

​

Please register per e-mail to

laura.jauch@d1-solutions.com

​The event is for free.

​Organiser – Data-Driven Business Models Expert Group

Expert Group Meeting – Data-Driven Business Models

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Thursday, March 7th 2019, 16:30 until 19:30, Au Premier, HB Zürich.

The expert group Data-Driven Business Models invites all interested members to participate in this event, featuring two talks, followed by Q&A and Networking Apero. The event is for free.

Program:

4:30 pm Welcome & Registration

4:45 pm Intro

5:00 pm “askRob – Legal research assistant powered by AI” incl. Q & A

5:30 pm “Challenges of data driven services in a 100 year old industry” incl. Q & A

6:00 pm Start Networking-Apero

Talk 1

“askRob – Legal research assistant powered by AI”
How a startup empowers legal professionals in their daily search of critical information.

by Achim Kohli, Founder and CEO at legal case processing system.

Achim Kohli presents how askRob empowers legal professionals to access case critical data quickly and significantly more precise than today. The explosion of complex data makes this capability not only more relevant but also more critical. With askRob, lawyers are able to free themselves from the tedious and error-prone search activities and to focus on building a strong case.

Achim Kohli will discuss how to push through technical and practical challenges, and how to create an experience that is both simple to use and strong on data science.

Achim Kohli: As Founder and CEO at legal case processing, he has worked as a registered lawyer both in a big Swiss law firm and a boutique law firm. Achim founded legal case processing system in 2018.

Talk 2

“Challenges of data driven services in a 100 year old industry” 

by Dr. Thomas Bewer and Christian Brändli at Bucher Emhart Glass.

Dr. Thomas Bewer: As Senior Project Manager Thomas is responsible for the technology development and product management of Bucher Emhart Glass’ data driven products.

Christian Brändli: As Head Global Services Christian is responsible for the development of service products of Bucher Emhart Glass’ data driven services.

 

Please register per e-mail to expert.group@d-one.ai

Expert Group Event “Data Driven Business Model”

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Thursday, June 27 2019, 16:30 until 19:30, Au Premier, HB Zürich.

Register: by e-mail to expert.group@d-one.ai

 

Data-Driven Business Models: Insights from business practitioners

The expert group Data-Driven Business Models invites all members to participate in this event, featuring two talks, followed by Q&A and Networking Apero. The event is for free.

Program:

4:30 pm Welcome & Registration

4:45 pm Intro

5:00 pm How expensive is punctuality? – Using data to manage track maintenance projects for SBB –  incl. Q & A

5:30 pm Data Strategy & Data Science at Migros – An Overview –  incl. Q & A

6:00 pm Start Networking-Apero

Talk 1

How expensive is punctuality? – Using data to manage track maintenance projects for SBB
Daniel Auvinet, SBB
Dr. Axel Obermeier, D ONE

The talk tells about the journey of SBB (specifically, within maintenance projects) towards data-driven insights and optimisation:

– predicting booking volume
– predicting project costs
– cost attribution for interrelated drivers
– learn from the data to generate cost-saving suggestions
– optimise project selection

Biography: Daniel Auvinet
Daniel graduated with a master in electronics, working at Airbus and other industrials, before moving to Swiss Federal Railways (SBB) in 2013. He integrated the track maintenance project steering platform and initiated data driven analyses to identify hidden cost drivers and reduce their impact. This approach is now being implemented in other infrastructure departments at SBB and will continue to be improved through exploiting data analytics and machine-learning algorithms.

Biography: Dr. Axel Obermeier
Axel received his Ph.D. in Applied Mathematics from the Swiss Federal Institute of Technology (ETH Zurich) in 2015, where he developed the first algorithm with optimal complexity for non-elliptic problems. Axel joined the team in 2017, where he specialises in data analysis, data modelling, as well as design and implementation of algorithms and computing infrastructure.

Talk 2

Data Strategy & Data Science at Migros – An Overview
Bojan Skerlak

As Senior Data Scientist Bojan is responsible to develop value add to the different business units of Migros. Bojan will provide an overview on how Migros implements and runs its data strategy.

Biography:  Dr. Bojan Skerlak
Bojan graduated from the ETH Zurich with a Master’s degree in physics in 2009 and continued with his PhD in atmospheric physics and dynamics. After almost one year as postdoctoral researcher, where he developed an algorithm for automated identification and quantification of tropopause folds from long-term global meteorological data, he started as data scientist at Migros in 2015. Furthermore, Bojan founded the startup Škerlak Analytics + Robotics last year next to his job at Migros. There, Bojan and his team offer a wide range of services related to robotics, A.I. and data science in general.

 

Please register for the Expert Group Event by e-mail to expert.group@d-one.ai

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Data-Driven Business Models: Meet-an-Expert Sessions

New offering for members: distinct meet-an-expert sessions, where you are able to meet an expert to discuss emerging questions in the realm of “Data-driven Business Models”. D ONE and the Institute of Technology Management (University of St. Gallen) are offering each two slots of about 30 minutes to discuss problems and provide first hints or propositions to solve these. The sessions will take place from 15.30 – 16.30 before the Expert-group event.

To reserve one of these slots, please contact Patrick Buck (patrick.buck@d-one.ai) of D ONE or Philipp Osterrieder (philipp.osterrieder@unisg.ch) from the University of St. Gallen with a brief summary of your situation and problem. You may choose your favorite expert, or we assign the one with the best fit to your question.

Do not hesitate to reach us through mail or telephone and profit from the possibility to meet an expert as part of the Data+Service Alliance. However, be aware that only four slots are available, therefore, first come first serve.

************
We are looking forward to welcoming you.

Data-Driven Business Models: Insights from business practitioners

Written by dsa_admin on .

The expert group Data-Driven Business Models invites all members to participate in this event, featuring two talks, followed by Q&A and Networking Apero.

The event is for free. Registration per e-mail to expert.group@d-one.ai

Program:
4:30 pm Welcome & Registration
4:45 pm Intro
5:00 pm Content is king, but data is the driver  –  incl. Q & A
5:30 pm AI powered Hawk Eye –  incl. Q & A
6:00 pm Start Networking-Apero
Pre-Session *:
3:30 pm Meet-an-Expert Sessions (2x30min)

Talk 1

Content is king, but data is the driver.
Christian Ammendola

The media industry is a highly digitized industry which is in the middle of the digital transformation. The business model of media companies, and also of NZZ, is centered around a digital strategy in which data plays a relevant role. In this presentation Christian Ammendola will provide an overview of the role of data in supporting different goals in the digital transformation at NZZ.

Biography: Christian Ammendola is Head of Data, Analytics and AI at Neue Züricher Zeitung (NZZ) where he leads a data team consisting of data analysts, data engineers, and data scientists.

Prior to NZZ he was working for 5 years in a startup leading a small data science team designing and implementing machine learning driven data products in the mobile devices field. He also successfully completed several Innosuisse projects focusing on innovative data products such as a recommender system and a market segmentation tool driven by machine learning models. In the course of his career Christian worked in different data roles with main focus on data science but also data warehousing, data engineering and data analytics. Christian holds a Master in Computer Science and a specialization on machine learning and statistical techniques.

Talk 2

AI Powered Hawk Eye
Jürgen Schwärzler, Senior Consultant, D ONE
Ioanna Tzanetou, Cloud Solution Architect, Microsoft

Gain business-relevant information from untouched sources (document archives, e-mails, videos, voice recordings  or other document repositories) – which previously could not be made usable, or only with much effort. With the AI framework „Hawk Eye“ you can convert documents and media content into structured, usable and valuable information. The AI framework can be adapted and applied in any company to support many use cases.

Biography: Dr Jürgen Schwärzler
Jürgen received his PhD in Statistics from University of Vienna in 2004. Before joining D ONE he worked for several years in the tech industry in Silicon Valley. His areas of expertise are Machine Learning, predictive modelling, A/B testing and cognitive Services.

Biography: Ioanna Tzanetou
Ioanna holds a MSc from ETH Zürich in Management, Technology and Economics and a Bachelor in Computer Engineering and Informatics. Before joining Microsoft, she worked as a research assistant at the University of Science and Technology in Hong Kong. Her areas of expertise are Machine Learning, Cognitive Services and Augmented Reality

Please register for the Expert Group Event per e-mail to expert.group@d-one.ai

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* Data-Driven Business Models: Meet-an-Expert Sessions

New offering for members: distinct meet-an-expert sessions, where you are able to meet an expert to discuss emerging questions in the realm of “Data-driven Business Models”. D ONE and the Institute of Technology Management (University of St. Gallen) are offering each two slots of about 30 minutes to discuss problems and provide first hints or propositions to solve these. The sessions will take place from 15.30 – 16.30 before the Expert-group event.

To reserve one of these slots, please contact Patrick Buck (patrick.buck@d-one.ai) of D ONE or Philipp Osterrieder (philipp.osterrieder@unisg.ch) from the University of St. Gallen with a brief summary of your situation and problem. You may choose your favorite expert, or we assign the one with the best fit to your question.

Do not hesitate to reach us through mail or telephone and profit from the possibility to meet an expert as part of the Data+Service Alliance. However, be aware that only four slots are available, therefore, first come first serve.

Expert Group Event – Data-Driven Business Model

Written by dsa_admin on .

Dear all

We are happy to invite you personally to the next Expert Group Event:

Wednesday, August 26 2020, 17:00 until 18:00

 

Data-Driven Business Models: Insights from business practitioners

The Expert Group Data-Driven Business Models invites all members to participate in this event, featuring two talks, followed by Q&A.

Register now for free by mail to: expert.group@d-one.ai

 

Program:

5:00 pm

From Transactions to Outcomes – A transformation of the business model 
incl. Q & A

5:30 pm

Evrlearn – a Market Network for impactful Lifelong Learning Journeys
incl. Q & A

 

Talk 1

From Transactions to Outcomes – A transformation of the business model

Philipp Schmid, Group Strategic Marketing Manager, SKF

Today, industrial companies are mainly driven by transactional business models. The ongoing digitalization enables suppliers of hardware products to gain more knowledge about the usage of their installed base. This knowledge provides valuable insights that could be exploited to offer their customers added value in addition to their traditional hardware products. Offering additional value comes along with a transformation of the business model. SKF allows us to gain insight into their transformation path.

Biography: Philipp Schmid

Philipp Schmid is a highly experienced and result-driven Marketing manager & Technical expert at SKF. His work is related to global wind energy and metals industries. He joined SKF in 2008 and holds a diploma in economics and a Bachelor’s degree in engineering.

 

Business Talk 2

Evrlearn – a Market Network for impactful Lifelong Learning Journeys

Felix Schmid – Co-Founder

Evrlearn works as a market network, powered by the principle of network effects and cumulative information.

On the user side, learners experience a recommendation algorithm providing specific search results based on their actual curricula and career goals. They can search, connect with peers and coaches, book courses and provide feedback about their learning experiences. Providers benefit from a publishing platform with management capabilities. They can manage enquiries and registrations, interact with curious learners, publish information on featured courses and get access to relevant market information.

The result is a network of learners, providers, experts, coaches and peers, all connected through their mutual interest in continuous growth and career development.

Biography: Felix Schmid

Felix is the initiator and Co-Founder of Evrlearn AG. With his professional experience between Business and IT in the Telecommunications industry and the gained expertise in the lifelong learning market at the biggest provider in Switzerland – rounded up with a EMBE HSG in Business Engineering – he brings the assets to match a data-oriented business model with the current challenges in lifelong learning.

 

Register now for free by mail to: expert.group@d-one.ai

 

We are looking forward to welcoming you personally!

Kind regards,

Christoph Blum, Patrick Buck

on behalf of the Expert Group

Expert Group Meeting – Data-Driven Business Model

Written by dsa_admin on .

Data-Driven Business Models: Insights from business practitioners

The expert group Data-Driven Business Models invites all members to participate in this event, featuring two talks, followed by Q&A.

To register please contact us at info.office@data-service-alliance.ch.

Program:

5:00 pm – Transforming railway by leveraging advanced business models and data analytics – incl. Q & A

5:30 pm – Self Service BI in the Migros Group – incl. Q & A

Talk 1 – Transforming railway by leveraging advanced business models and data analytics

Kevin Kulzer, Sales Consultant, Siemens Mobility AG

The need for sustainable mobility solutions and the corresponding rise of energy costs spur rolling stock operators. To keep their business attractive and profitable, they demand reductions in rolling stock’s total cost of ownership. Thus, manufacturers of this equipment need to develop new solutions to enable these reductions. Predictive maintenance based on comprehensive data analytics allows for reducing maintenance costs and increasing the equipment’s uptime. Siemens will provide us their learnings regarding their journey to offer predictive maintenance solutions to rolling stock operators.

Biography: Kevin Kulzer

Kevin Kulzer is driven by enabling green and sustainable mobility. He strives to bring customer needs and Siemens’ expertise together to empower the business of their customers. Based on his solid education in Engineering Management (M.Eng.) and various practical experiences in the mobility sector, he follows his passion as a Sales Consultant at Siemens Mobility.

Business Talk 2 – Self Service BI in the Migros Group

Manuel Blunschi, Product Owner of SSBI, Migros-Genossenschafts-Bund

Several dozen very different companies and institutions work for one and the same company in very different markets: Migros. With a turnover of 28.7 billion Swiss francs (2019), the Migros Group is the largest retail trade company and, with over 106,000 employees, the largest private employer in Switzerland. 10 Migros cooperatives operate the Migros Group’s core business, the retail trade. Migros also includes numerous industrial companies, various trading, travel and logistics companies as well as Migros Bank.

The need for business intelligence is correspondingly large and diverse. To enable Migros employees to work independently and “data-driven”, the Migros Cooperative Association (MGB) offers them “Self Service Business Intelligence” (SSBI).

Biography: Manuel Blunschi

Manuel Blunschi worked for two years in Reporting & Analytics at SIX before joining the Migros-Genossenschafts-Bund in August 2020. As Product Owner of SSBI, his work consists of addressing the self-service needs of the entire Migros Group and implementing them together as a team. Manuel holds a bachelor and master degree in business informatics.

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We are looking forward to welcoming you personally!

Christoph Blum, Patrick Buck

on behalf of the Expert Group