Swiss Leaders Dialog Big Data Strategies -

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

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”

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. 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

Time	Activity		September 7, 2020
8:30	Start of registration
9:00	Management of Corporate AI The St. Gallen Management Model for AI Organisational aspects Compliance and security AI Life Cycle Management Prof. Dr. Walter Brenner, Chair for Information Management, University of St. Gallen
9:30	Unleashing the Capacity of our Entire Organization via Self Serve Analytics Pinar Dolen, CIO, Louis Dreyfus Company Suisse S.A.	Digital Transformation and Agile Collaboration - The Changes and Challenges an Established Corporate Business Has to Find Suitable Answers for Markus Ernsten, Agile Leadership Coach, ME3C for Commerzbank AG
10:00	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 Dr. Franz-Josef Hoffmann, CEO, MRS Electronic, Inc.	Lawful Rights Management in Corporate AI Systems Nicolas Grunder, Chief Counsel Digital & Data Privacy, ABB
10:30	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 Stiven Muccioli, Founder & CTO, ventis.it (Iccrea Banking Group)	Combining Data Outside and Inside the Aviation Industry to Develop Recovery Scenarios Dr. Andreas Jahnke, CEO, Lufthansa Consulting
11:00	Coffee Break / Networking
11:15	Networking Session 1 (parallel activities) Workshop 1: 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 Dr. Vedran Batos, Co-Founder, CrewCraft AG	Meetings with peers, experts and solution providers Open roundtable discussions
11:45	Networking Session 2 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:15	Networking Session 3 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:45	Networking Session 4 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
13:15	Lunch / Networking
14:15	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 Prof. Dr. Vincenzo Salvatore,Team Leader Healthcare and Life Sciences, Bonelli Erede	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 Dr. Rakesh Rana, Lead Data Scientist, Nordea Life & Pensions
14:45	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 Dr. Frank Schacherer, VP Products and Solutions, QIAGEN	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” Vincent Doumeizel, Director – Food Programme, Lloyd’s Register Foundation
15:15	Networking Session 5 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
15:45	Networking Session 6 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
16:15	Coffee Break / Networking
16:30	Networking Session 7 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:00	Networking Session 8 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:30	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 Jean-Pierre Cioni, Director of Digital Programs, Groupe VYV
18:00	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 Matthias Gräber, Head of Data Science, Bühler Group
18:30	Wrap-up Discussion
19:00	Apéro an der Hotelbar

Time	Activity		September 7, 2020
8:30	Start of registration
9:00	Management of Corporate AI The St. Gallen Management Model for AI Organisational aspects Compliance and security AI Life Cycle Management Prof. Dr. Walter Brenner, Chair for Information Management, University of St. Gallen
9:30	Unleashing the Capacity of our Entire Organization via Self Serve Analytics Pinar Dolen, CIO, Louis Dreyfus Company Suisse S.A.	Digital Transformation and Agile Collaboration - The Changes and Challenges an Established Corporate Business Has to Find Suitable Answers for Markus Ernsten, Agile Leadership Coach, ME3C for Commerzbank AG
10:00	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 Dr. Franz-Josef Hoffmann, CEO, MRS Electronic, Inc.	Lawful Rights Management in Corporate AI Systems Nicolas Grunder, Chief Counsel Digital & Data Privacy, ABB
10:30	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 Stiven Muccioli, Founder & CTO, ventis.it (Iccrea Banking Group)	Combining Data Outside and Inside the Aviation Industry to Develop Recovery Scenarios Dr. Andreas Jahnke, CEO, Lufthansa Consulting
11:00	Coffee Break / Networking
11:15	Networking Session 1 (parallel activities) Workshop 1: 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 Dr. Vedran Batos, Co-Founder, CrewCraft AG	Meetings with peers, experts and solution providers Open roundtable discussions
11:45	Networking Session 2 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:15	Networking Session 3 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:45	Networking Session 4 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
13:15	Lunch / Networking
14:15	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 Prof. Dr. Vincenzo Salvatore,Team Leader Healthcare and Life Sciences, Bonelli Erede	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 Dr. Rakesh Rana, Lead Data Scientist, Nordea Life & Pensions
14:45	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 Dr. Frank Schacherer, VP Products and Solutions, QIAGEN	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” Vincent Doumeizel, Director – Food Programme, Lloyd’s Register Foundation
15:15	Networking Session 5 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
15:45	Networking Session 6 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
16:15	Coffee Break / Networking
16:30	Networking Session 7 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:00	Networking Session 8 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:30	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 Jean-Pierre Cioni, Director of Digital Programs, Groupe VYV
18:00	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 Matthias Gräber, Head of Data Science, Bühler Group
18:30	Wrap-up Discussion
19:00	Apéro an der Hotelbar

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High Level Executive Exchange for Data and AI Driven Business Models and Use Cases

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