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High Level Executive Exchange for Data and AI Driven Business Models and Use Cases
Big Data Analytics and AI are the pillars of digitalization. Combined with other groundbreaking technologies they enable new service-oriented business models, create new markets and disrupt old ones. Companies have been investing in internal or external teams or startups, software and architecture. Many exciting use cases have been created. Purely data-driven startups disrupted whole industries. Some established companies try to keep pace, but struggle to develop compelling strategies. There is a thin line between agility and disorientation. Other traditional businesses adopted early and became digital frontrunners in their industries. Swiss Leaders Dialog is an executive-only live and virtual networking event to exchange views and experiences across industries.
Topics:
- Digitalisation Strategy
- Data and AI Strategy
- Big Data Use Cases
- Data Organisation (Built? Buy? Found?)
- Big Data Analytics / Use Cases
- AI Use Cases / AI Business Models
- Data Ecosystems
- Strategic Initiatives in Switzerland and Europe
- Data Science
- Integrating BI and DWH
- Platform Economy
- New Management Concepts (Agile, Scrum, Design Thinking, Holacracy etc.)
- Data Governance
- Problems of Data Ownership
- Compliance Strategy (with regard to data)
- Regulatory Frameworks
- Data Governance
- Data Sourcing
- Data Integration
- IoT and Big Data / Industry 4.0
- Big Data and “Servitization”
- Partner Strategy
- Big Data Architecture
- Big Data & Blockchain
Format
- Best practices: Selected business cases
- Matchmaking: Interests and competencies of all attendees
- Networking: Matched and pre-arranged one on one meetings
- Workshops: Confidential peer discussions
- High level: Colleagues in similar positions
- Decision support: Knowledge of an elite network for your projects, strategies and ideas
- Ultra efficient: Personal agenda – optimal time invest
- Chill out: Informal networking at after-event bar meeting
- Online community: Access new contacts and knowledge after the event
Great setup and organisation enabled high level networking and an open-minded exchange. Exciting presentations showed new perspectives.
Axel Vogelbruch, Global Head of Digitalization (CDO), BYK-Chemie GmbH
Very meaningful and relevant for me as a speaker as well as in the delegate role. In a relaxed atmosphere and a flexible setting I was happy to meet a lot of interesting new contacts during networking time. Thanks a lot.
Katharina Uribe Casillas, VP Global Business Development Automotive & Industrial, Kuehne + Nagel
Thank you for two exciting days in Zurich. Perfectly organized with an ideal number of attendees which allowed many inspiring meetings among decision makers.
Dr. Axel Thoma, Lecturer, University of St.Gallen
Outstanding opportunity to network with like-minded. Excellent Organization. Very interesting topics.
Domonkos Gaspar, Digital Solutions Leader, Roche
Very well organized event with practice-oriented, relevant presentations and time for extensive networking
Thomas Röttinger, CEO, Pewatron AG
Vincent Doumeizel, Director – Food Programme, Lloyd’s Register Foundation
Food Industry & Big Data : Appetite for Disruption
- Emerging technical innovation in Food industry (remote sensors, IoT, blockchain, satellites monitoring, GPS tracking, etc…) creates a real big data that are still to be consolidated to create an optimized management of the supply chain
- These data innovation will convergence with life-science innovation (DNA, microbiome, isotopes, new production) that will completely disrupt the Food Industry as we know it in order to be able to feed the world of tomorrow with safe and sustainable food
- Through their purchasing decisions, end consumers are likely to be the drivers of the change to influence and shape that smooth, ethical, transparent and traceable Food Supply Chain already named “Food Industry 4.0”

Pinar Dolen, EMEA Region CIO, Louis Dreyfus Company Suisse S.A.
Unleashing the Capacity of our Entire Organization via Self Serve Analytics
Günther Dörgeloh, Geschäftsführer, MRS Electronic GmbH
B2B Relationships in the Digitally Connected World
- Layers of connectivity: HR, IoT, virtualised processes
- The golden age of algorithms
- End-to-end connectivity enables new b2b services
- New vertical value creation
- Digital transformation in the automotive industry

Nicolas Grunder, Chief Counsel Digital & Data Privacy, ABB
AI and Big Data in the Industrial IoT – Some Legal Aspects
- Data driven business models – the legal dimension
- Ownership and protection of AI and data
- Allocation of accountability and responsibility

Matthias Gräber, Head of Data Science, Bühler Group
The Data Science Mindset as Key Enabler of Digital Innovation in Traditional Industries
- Principles to nurture a healthy data science team
- Organizational aspects: Central vs democratized approach to AI
- Where to play: Short-term efficiency gains versus long-term competitive advantage
- Establishing a culture of curiosity and interdisciplinary collaboration
- Real-life examples from manufacturing in the food and advanced materials industry

Prof. Dr. Walter Brenner, Chair for Information Management, University of St. Gallen
Management of Corporate AI
- The St. Gallen Management Model for AI
- Organisational aspects
- Compliance and security
- AI Life Cycle Management

Dr. Rakesh Rana, Lead Data Scientist, Nordea Life & Pensions
Data Driven or: How to Use the Right Tools at the Right Time to Support your Organisation’s Digital Transformation
- One size doesn’t fit all: identify your organisation’s unique digital transformation journey
- Is your organisation ready for RPA, AI, Machine Learning, or Deep Learning?
- Overcoming internal inertia and resistance to digital transformation initiatives.

Jean-Pierre Cioni, Director of Digital Programs, Groupe VYV
Accelerating Digital Transformation During COVID 19
- Existing ecosystem of interconnected digital platforms
- Doubling of telemedicine users to 8M people within one month
- New digital public private partnerships in the health sector
- Adapting an e-health model deigned for insurance clients to a public smart city project
- Interoperability and open innovation within a consortium of large companies

Dr. Frank Schacherer, VP Products and Solutions, QIAGEN
Data Sourcing And Data Integration in Genomics
- Aggregation and integration of pharmaceutical research data for decision support
- Knowledge graphs, experimental genomic data, clinical data
- AI based analytics

Stiven Muccioli, Founder & CTO, ventis.it (Iccrea Banking Group)
How to Switch from Negative to Positive Margins in Digital Banking Business Thanks to Big Data
- Data mining from omni-channel platforms
- Business lines optimization using data analytics and cross selling activities
- Concrete examples of a new model of digital bank: from negative margins to positive margins

Prof. Dr. Vincenzo Salvatore,Team Leader Healthcare and Life Sciences, Bonelli Erede
Tracking Apps and Patients’ Data Protection
- The need to collect personal data in a pandemic situation
- Is large scale monitoring of locations and/or contacts between natural persons legitimate?
- Where to strike the right balance between protection of public health and protection of personal data?
- Where and for how long data can be stored and can they be transferred to third parties?
- The European Data Protection Board’s guidance

Dr. Vedran Batos, Co-Founder, CrewCraft AG
Blockchain with AI: Simple Practice or Complex Theory?
- Use case of a cloud based change management app
- Top trends for various industries
- Easy of use or lost in algorithms
- Strategic approach to data sampling, Big Data, Blockchain and AI.
- KPIs vs social impacts analysis
- Provisioning and deployment to cloud

Markus Ernsten, Agile Leadership Coach, ME3C
Digital Transformation and Agile Collaboration - The Changes and Challenges an Established Corporate Business Has to Find Suitable Answers for

Julian Freitag, Large Account Manager Switzerland, Qlik
Data is the New Water – it must be accessible and clean. So why do enterprises still only utilize 10% of their data for analytics?
- In today’s economic environment, organizations are starting to think of data as the "new water” – not just a valuable asset but an essential ingredient for survival. But, despite huge potential, many of us struggle when transforming data into actionable insights, or even using its potential on a large scale. Recent studies show that:
- only 10% of available data is actually used for analytics
- only 24% of the decision makers consider themselves as data competent
- 75% of employees feel overwhelmed when dealing with data
- Discuss with us these and other results from current studies done by Qlik, it’s partners and IDC to engage on how to:
- drive Data Literacy in your organization
- plug the leak between data, insights and action and
- accelerate the process from raw data to real business outcomes.

Sören Gemeinhardt, Sales Manager D-A-CH, Qlik
Data is the New Water – it must be accessible and clean. So why do enterprises still only utilize 10% of their data for analytics?
- In today’s economic environment, organizations are starting to think of data as the "new water” – not just a valuable asset but an essential ingredient for survival. But, despite huge potential, many of us struggle when transforming data into actionable insights, or even using its potential on a large scale. Recent studies show that:
- only 10% of available data is actually used for analytics
- only 24% of the decision makers consider themselves as data competent
- 75% of employees feel overwhelmed when dealing with data
- Discuss with us these and other results from current studies done by Qlik, it’s partners and IDC to engage on how to:
- drive Data Literacy in your organization
- plug the leak between data, insights and action and
- accelerate the process from raw data to real business outcomes.

Alexander Manakos, Partner, Lufthansa Consulting
Data analytics in aircraft maintenance – a use case for other industries?
- The evolution of aircraft maintenance – from reactive via preventive to predictive maintenance
- Opportunities for reliability, safety, and cost efficiency offered by big data
- Application of aircraft maintenance principles empowered by big data to other industries

Robert Stumpf, VP Business Development, ONE LOGIC GmbH
From prototype to production – How the right AI platform can generate hard ROI’s for your enterprise
- From DevOps via AIOps/MLOps to ModelOps
- Industrialization of Data Science
- Value Chain for Data Science projects
- How to focus on value creation with Data Science projects
- Real life case studies and use cases of successful operational Data Science projects
Time | Activity | September 7, 2020 | |
8:30 | Start of registration | ![]() |
|
9:00 | Management of Corporate AI Prof. Dr. Walter Brenner, Chair for Information Management, University of St. Gallen | ![]() | |
9:35 | How to Switch from Negative to Positive Margins in Digital Banking Business Thanks to Big Data Stiven Muccioli, Founder & CTO, ventis.it (Iccrea Banking Group) | ![]() | |
10:10 | Coffee Break / Networking | ![]() |
|
10:30 | Networking Session 1 (parallel activities) Workshop 1: Data is the New Water – it must be accessible and clean. So why do enterprises still only utilize 10% of their data for analytics? done by Qlik, it’s partners and IDC to enga ge on how to: action and real business outcomes.Use case of a cloud based change management app ![]() Julian Freitag, Large Account Manager Switzerland, Qlik | ![]() |
|
11:00 | Networking Session 2 (parallel activities) | ![]() |
|
11:30 | Workshop 2 From prototype to production – How the right AI platform can generate hard ROI’s for your enterprise ![]() Robert Stumpf, VP Business Development, ONE LOGIC GmbH | ![]() |
|
12:00 | Networking Session 4 (parallel activities) | ![]() |
|
12:30 | Lunch / Networking | ![]() |
|
13:30 | Tracking Apps and Patients’ Data Protection![]() Prof. Dr. Vincenzo Salvatore,Team Leader Healthcare and Life Sciences, Bonelli Erede | Unleashing the Capacity of our Entire Organization via Self Serve Analytics![]() Pinar Dolen, EMEA Region CIO, Louis Dreyfus Company Suisse S.A. | |
14:05 | Data Sourcing And Data Integration in Genomics![]() Dr. Frank Schacherer, VP Products and Solutions, QIAGEN | Data analytics in aircraft maintenance – a use case for other industries? maintenance – from reactive via preventive to predictive maintenance by big data ![]() Alexander Manakos, Partner, Lufthansa Consulting | |
14:40 | Accelerating Digital Transformation During COVID 19![]() Jean-Pierre Cioni, Director of Digital Programs, Groupe VYV | Food Industry & Big Data : Appetite for Disruption![]() Vincent Doumeizel, Director – Food Programme, Lloyd’s Register Foundation | |
15:10 | Coffee Break / Networking | ![]() |
|
15:30 | Networking Session 5 | ![]() |
|
16:00 | Networking Session 6 (parallel activities) | ![]() |
|
16:30 | Networking Session 7 | ![]() |
|
17:00 | Networking Session 8 (parallel activities) | ![]() |
|
17:30 | B2B Relationships in the Digitally Connected World Günther Dörgeloh, Geschäftsführer, MRS Electronic GmbH ![]() | AI and Big Data in the Industrial IoT – Some Legal Aspects![]() Nicolas Grunder, Chief Counsel Digital & Data Privacy, ABB | |
18:00 | Data Driven or: How to Use the Right Tools at the Right Time to Support your Organisation’s Digital Transformation Dr. Rakesh Rana, Lead Data Scientist, Nordea Life & Pensions | ![]() | |
18:30 | Enabler of Digital Innovation in Traditional Industries Matthias Gräber, Head of Data Science, Bühler Group | ![]() | |
19:00 | Wrap-up Discussion | ![]() | |
Apéro an der Hotelbar | ![]() |
||
Time | Activity | September 7, 2020 | |
8:30 | Start of registration | ![]() |
|
9:00 | Management of Corporate AI Prof. Dr. Walter Brenner, Chair for Information Management, University of St. Gallen | ![]() | |
9:35 | How to Switch from Negative to Positive Margins in Digital Banking Business Thanks to Big Data Stiven Muccioli, Founder & CTO, ventis.it (Iccrea Banking Group) | ![]() | |
10:10 | Coffee Break / Networking | ![]() |
|
10:30 | Networking Session 1 (parallel activities) Workshop 1: Data is the New Water – it must be accessible and clean. So why do enterprises still only utilize 10% of their data for analytics? done by Qlik, it’s partners and IDC to enga ge on how to: action and real business outcomes.Use case of a cloud based change management app ![]() Julian Freitag, Large Account Manager Switzerland, Qlik | ![]() |
|
11:00 | Networking Session 2 (parallel activities) | ![]() |
|
11:30 | Workshop 2 From prototype to production – How the right AI platform can generate hard ROI’s for your enterprise ![]() Robert Stumpf, VP Business Development, ONE LOGIC GmbH | ![]() |
|
12:00 | Networking Session 4 (parallel activities) | ![]() |
|
12:30 | Lunch / Networking | ![]() |
|
13:30 | Tracking Apps and Patients’ Data Protection![]() Prof. Dr. Vincenzo Salvatore,Team Leader Healthcare and Life Sciences, Bonelli Erede | Unleashing the Capacity of our Entire Organization via Self Serve Analytics![]() Pinar Dolen, EMEA Region CIO, Louis Dreyfus Company Suisse S.A. | |
14:05 | Data Sourcing And Data Integration in Genomics![]() Dr. Frank Schacherer, VP Products and Solutions, QIAGEN | Data analytics in aircraft maintenance – a use case for other industries? maintenance – from reactive via preventive to predictive maintenance by big data ![]() Alexander Manakos, Partner, Lufthansa Consulting | |
14:40 | Accelerating Digital Transformation During COVID 19![]() Jean-Pierre Cioni, Director of Digital Programs, Groupe VYV | Food Industry & Big Data : Appetite for Disruption![]() Vincent Doumeizel, Director – Food Programme, Lloyd’s Register Foundation | |
15:10 | Coffee Break / Networking | ![]() |
|
15:30 | Networking Session 5 | ![]() |
|
16:00 | Networking Session 6 (parallel activities) | ![]() |
|
16:30 | Networking Session 7 | ![]() |
|
17:00 | Networking Session 8 (parallel activities) | ![]() |
|
17:30 | B2B Relationships in the Digitally Connected World Günther Dörgeloh, Geschäftsführer, MRS Electronic GmbH ![]() | AI and Big Data in the Industrial IoT – Some Legal Aspects![]() Nicolas Grunder, Chief Counsel Digital & Data Privacy, ABB | |
18:00 | Data Driven or: How to Use the Right Tools at the Right Time to Support your Organisation’s Digital Transformation Dr. Rakesh Rana, Lead Data Scientist, Nordea Life & Pensions | ![]() | |
18:30 | Enabler of Digital Innovation in Traditional Industries Matthias Gräber, Head of Data Science, Bühler Group | ![]() | |
19:00 | Wrap-up Discussion | ![]() | |
Apéro an der Hotelbar | ![]() |
||
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- Full catering
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