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

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.

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
9:35	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)
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? Discuss with us results from current studies done by Qlik, it’s partners and IDC to enga ge 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.Use case of a cloud based change management app Julian Freitag, Large Account Manager Switzerland, Qlik	Meetings with peers, experts and solution providers Open roundtable discussions
11:00	Networking Session 2 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
11:30	Workshop 2 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 Robert Stumpf, VP Business Development, ONE LOGIC GmbH
12:00	Networking Session 4 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:30	Lunch / Networking
13:30	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	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 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	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 Alexander Manakos, Partner, Lufthansa Consulting
14:40	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	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
15:10	Coffee Break / Networking
15:30	Networking Session 5
16:00	Networking Session 6 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
16:30	Networking Session 7
17:00	Networking Session 8 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:30	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 Günther Dörgeloh, Geschäftsführer, MRS Electronic GmbH	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 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 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
18:30	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
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 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
9:35	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)
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? Discuss with us results from current studies done by Qlik, it’s partners and IDC to enga ge 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.Use case of a cloud based change management app Julian Freitag, Large Account Manager Switzerland, Qlik	Meetings with peers, experts and solution providers Open roundtable discussions
11:00	Networking Session 2 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
11:30	Workshop 2 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 Robert Stumpf, VP Business Development, ONE LOGIC GmbH
12:00	Networking Session 4 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
12:30	Lunch / Networking
13:30	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	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 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	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 Alexander Manakos, Partner, Lufthansa Consulting
14:40	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	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
15:10	Coffee Break / Networking
15:30	Networking Session 5
16:00	Networking Session 6 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
16:30	Networking Session 7
17:00	Networking Session 8 (parallel activities) Meetings with peers, experts and solution providers Workshop Open roundtable discussions
17:30	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 Günther Dörgeloh, Geschäftsführer, MRS Electronic GmbH	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 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 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
18:30	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
19:00	Wrap-up Discussion
	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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