Swiss Leaders Dialog Industrie 4.0 2021 -

Führender Industrie 4.0 Summit der Schweiz. Key Player diskutieren die Digitalisierung der Geschäftsmodelle. Smarte Fabriken, vernetzte Produkte und intelligente Lieferketten revolutionieren die Wirtschaft. Service statt Produkt? Individualisierung statt Massenfertigung? Geteilte Ressourcen statt Eigentum? Roboter statt Menschen? Finden Sie Ihre Antworten beim Swiss Leaders Dialog. Machen Sie sich und Ihr Unternehmen fit für Industrie 4.0

Der Swiss Leaders Dialog ist keine typische Konferenz. Persönliche Gespräche mit Kollegen, Beratern und Experten prägen den Ablauf. Über unsere interne Matchmaking-Plattform selektieren Sie Gesprächspartner oder werden selektiert. Das Matchmaking dokumentiert Schnittmengen zwischen Interessen und Kompetenzen. Der gesteuerte Austausch von Erfahrungen, Ideen, Lösungen und strategischen Aspekten ist enorm effektiv. Unser Networking-Format generiert in kürzester Zeit Praxiswissen und relevante Kontakte.

Themen

Intelligente Vernetzung von Kunde, Produktentwicklung, Produktion und Lieferkette
Digitale Geschäftsmodelle und der Wettbewerb der Zukunft
Positionieren in der Plattformökonomie / mit Startups konkurrieren oder kooperieren?
Vom Produkt zum Service – welche Implikationen bringt dieser Paradigmenwechsel?
Treiben statt getrieben werden – digitale Trends schnell antizipieren und umsetzen
Bedeutung von Big Data, Smart Analytics und Machine Learning
Die digitale Fabrik
Neue Produktionsverfahren und der Trend zur Dezentralität
Intelligente Lieferketten
Vernetzte Produkte (Vorteile, Geschäftsmodelle)
Customer Centricity und Losgrösse 1
Effizientere Wertschöpfungskette durch Industrie 4.0 und IoT
Neue Finanzierungsmodelle in der 4.0-Welt
HR Challenge: Welche Skills werden benötigt?
Managementkonzepte für mehr Innovation und Kreativität (Design Thinking, Agile, Holacracy etc.)
Bedeutung und Integration der vorhandenen IT-Systeme
Produktdaten, Normung, Interoperabilität
Potenziale der Blockchain-Technologie in der IoT-Welt
Digitale Zwillinge
Cyberphysische Systeme / Autonome Systeme / Robotik

Format

Best Practices: Ausgewählte Business Cases
Matchmaking: Interessen und Erfahrungen aller Teilnehmer
Networking: Gematchte Einzelgespräche mit passenden Gesprächspartnern
Kaminrunden: Vertrauliche Diskussionen mit Peers
Hohes Netzwerk-Niveau: Kollegen in ähnlichen Positionen
Decision Support: Netzwerkwissen für Ihre Projekte, Strategien und Ideen
Ultraeffizient: Persönliche Agenda – optimaler Zeiteinsatz
Chill out: Informelles Networking beim Apéro
Online Community: Kontakte und Wissen über den Tag hinaus

Moritz von Stosch, Chief Innovation Officer, Datahow AG & Christos Varsakelis, Team Lead AI/ML, The Janssen Pharmaceutical Companies

A Novel Operational Mode to Transform the Bioprocess Development Business Model

Why novel data and technical capabilities can transform (bio)pharma’s process development business?
What are the implications for the traditional process development market and why is it now that the transformation of (bio)pharma’s process development business is happening?
How smartly designed Insilico bioprocess development cloud platforms transform it?
What are the consequences for managing and sharing company data?
Why these developments need to be considered for creating data ecosystems and strategic partnerships?

	Stream 1	Stream 2	Stream 3: Networking
08:30	Start Registrierung
09:00	Transforming our Global Cement Manufacturing Network Flexibility, data centricity and open innovation in new operating models Case: data centric decision making, developed in house and scaled to all continents in 1.5 years People perspective on transformation Frank Ernst, Global Digital Lead Manufacturing, LafargeHolcim
09:30	Sourcing and Using Integrated Data from Omnichannel Customer Engagement Apps, chatbots, social and web form integrated ecosystems More interactivity and personalized user engagements Continuous improvements based on user data Sander Ruitenberg, Global Digital Health Solutions Head, Novartis
10:00	How to Overcome Cultural Challenges in AI/ML Organizations Avoiding experience bias Building failure-positive environments Facilitating collaboration across functions Creating supportive organization & structure Jean Benjamin Voigt, Director /Head Portfolio & Capital Analytics, Credit Suisse	New Pay-per-part Business Model in the Sheet Metal Processing Industry Customers can use a full-service laser machine without having to buy or lease any equipment Strategic partnership with MunichRe acting as business enabler in the fields of risk solutions, IoT technology and financing Some organisational aspects of this new business model Benedikt Braig, Head of Business Development Equipment-as-a-Service, Trumpf
10:30		Kaffeepause mit Networking
10:45	Workshop TBA
10:45	Workshop TBA
11:45	Workshop TBA
11:45	Workshop TBA
12:45		Lunch mit Networking
13:30	Workshop: Data Cartography - New ML Based Approaches to Assess the Quality of Very Large and Unstructured Data Sources Mika Rissa, Senior Vice President Product, One Logic
13:30
14:30	How Innovative Tech Companies Can Use Patents to Improve the Competitive Edge in Digital Business Models Patents: only for tangible inventions? Using patents as business assets How to patent digital business models and use cases Patents for AI, machine learning, big data, IoT Bastian Best, European Patent Attorney	The "RIO" Transition – Rationalization of IT Operations How to change a large corporation's hosting provider Transition risk management Enable cultural change Performance review Daniele Lisetto, Global Head IT Strategy Office, ABB
15:00	AI in Healthcare: Applications for Drug Discovery and Clinical Decisions From integration of omics to clinical support decision systems for personalized medicine The immunology use case The frontier of the medical digital twin Applicability Prof. Dr. Enkelejda Miho, Head of MSc Medical Informatics, FHNW University of Applied Sciences and Arts Northwestern Switzerland	Integrating IT/OT Legacy into the IoT World Strategy for an efficient knowledge management in mature IT/OT organisations Convergence between legacy and IIoT structures Effective handling of data with innovative technology Harald Kirsch, Head of Automation and Industrial IT, ALD Vacuum Technologies
15:30	A Novel Operational Mode to Transform the Bioprocess Development Business Model Why novel data and technical capabilities can transform (bio)pharma’s process development business? What are the implications for the traditional process development market and why is it now that the transformation of (bio)pharma’s process development business is happening? How smartly designed Insilico bioprocess development cloud platforms transform it? What are the consequences for managing and sharing company data? Why these developments need to be considered for creating data ecosystems and strategic partnerships? Moritz von Stosch, Chief Innovation Officer, Datahow AG & Christos Varsakelis, Team Lead AI/ML, The Janssen Pharmaceutical Companies	Creating Digital Values in the Security Industry The blessings of digitalization in our industry Identifying and developing use cases Use case example: Digitally managed interventions Outlook for the upcoming years Pascal Hulalka, CTO, Protectas
16:00	Big Data Strategy in the Energy Storage Sector Jean-Baptiste Cornefert, VP Digital Innovation and Low Carbon Solutions, BP	Digitalization of Internal Audit Processes From stone age to data mining Use case audit digitalization Audit Data Mining (ADM) in standard practice ADM in continuous auditing Preparing for business environment change Jean-Paul Duperron, VP Corporate Internal Audi & Risk Management, Swiss Steel Holding AG
16:30		Kaffeepause mit Networking
16:45	AI Strategy for Autonomous Driving and Mobility The role of AI and Big Data for the future of mobility Aligning strategy with business goals Strategic AI projects across several departments and geographies Developing AI innovation prototypes towards customer products Muralikrishna Sridhar, Program Head, AI Stack, Platform & Services for Autonomous Driving and Mobility, Continental	Scaling Traps with AI/IoT Projects and how to avoid them Theoretically well-planned use cases fail in practice due a lack of data availability The cost of data collection and integration may exceed the benefit Maintenance use case: Nearly a failure, but a success at last AI/ML bases parts recognition Due diligence means to anticipate all possible traps Gregor Schrott, Vice-President Digital Service Innovation / Cognitive Services, Bosch
17:15	Data Strategy to Enable Digital Transformation Digital transformation in R&D using data management Data governance vs. data management The DAMA body of knowledge methodology Massimo Buonaiuto, EMEA Principal Scientist in Data Science, DSM
17:45	Customer Centric Data Science Use Case Thomas Bodé, VP - Head of Data & Analytics, Swarovski
18:15	Abschlussdiskussion und Wrap-up
18:20	Apéro

	Stream 1	Stream 2	Stream 3: Networking
08:30	Start Registrierung
09:00	Transforming our Global Cement Manufacturing Network Flexibility, data centricity and open innovation in new operating models Case: data centric decision making, developed in house and scaled to all continents in 1.5 years People perspective on transformation Frank Ernst, Global Digital Lead Manufacturing, LafargeHolcim
09:30	Sourcing and Using Integrated Data from Omnichannel Customer Engagement Apps, chatbots, social and web form integrated ecosystems More interactivity and personalized user engagements Continuous improvements based on user data Sander Ruitenberg, Global Digital Health Solutions Head, Novartis
10:00	How to Overcome Cultural Challenges in AI/ML Organizations Avoiding experience bias Building failure-positive environments Facilitating collaboration across functions Creating supportive organization & structure Jean Benjamin Voigt, Director /Head Portfolio & Capital Analytics, Credit Suisse	New Pay-per-part Business Model in the Sheet Metal Processing Industry Customers can use a full-service laser machine without having to buy or lease any equipment Strategic partnership with MunichRe acting as business enabler in the fields of risk solutions, IoT technology and financing Some organisational aspects of this new business model Benedikt Braig, Head of Business Development Equipment-as-a-Service, Trumpf
10:30		Kaffeepause mit Networking
10:45	Workshop TBA
10:45	Workshop TBA
11:45	Workshop TBA
11:45	Workshop TBA
12:45		Lunch mit Networking
13:30	Workshop: Data Cartography - New ML Based Approaches to Assess the Quality of Very Large and Unstructured Data Sources Mika Rissa, Senior Vice President Product, One Logic
13:30
14:30	How Innovative Tech Companies Can Use Patents to Improve the Competitive Edge in Digital Business Models Patents: only for tangible inventions? Using patents as business assets How to patent digital business models and use cases Patents for AI, machine learning, big data, IoT Bastian Best, European Patent Attorney	The "RIO" Transition – Rationalization of IT Operations How to change a large corporation's hosting provider Transition risk management Enable cultural change Performance review Daniele Lisetto, Global Head IT Strategy Office, ABB
15:00	AI in Healthcare: Applications for Drug Discovery and Clinical Decisions From integration of omics to clinical support decision systems for personalized medicine The immunology use case The frontier of the medical digital twin Applicability Prof. Dr. Enkelejda Miho, Head of MSc Medical Informatics, FHNW University of Applied Sciences and Arts Northwestern Switzerland	Integrating IT/OT Legacy into the IoT World Strategy for an efficient knowledge management in mature IT/OT organisations Convergence between legacy and IIoT structures Effective handling of data with innovative technology Harald Kirsch, Head of Automation and Industrial IT, ALD Vacuum Technologies
15:30	A Novel Operational Mode to Transform the Bioprocess Development Business Model Why novel data and technical capabilities can transform (bio)pharma’s process development business? What are the implications for the traditional process development market and why is it now that the transformation of (bio)pharma’s process development business is happening? How smartly designed Insilico bioprocess development cloud platforms transform it? What are the consequences for managing and sharing company data? Why these developments need to be considered for creating data ecosystems and strategic partnerships? Moritz von Stosch, Chief Innovation Officer, Datahow AG & Christos Varsakelis, Team Lead AI/ML, The Janssen Pharmaceutical Companies	Creating Digital Values in the Security Industry The blessings of digitalization in our industry Identifying and developing use cases Use case example: Digitally managed interventions Outlook for the upcoming years Pascal Hulalka, CTO, Protectas
16:00	Big Data Strategy in the Energy Storage Sector Jean-Baptiste Cornefert, VP Digital Innovation and Low Carbon Solutions, BP	Digitalization of Internal Audit Processes From stone age to data mining Use case audit digitalization Audit Data Mining (ADM) in standard practice ADM in continuous auditing Preparing for business environment change Jean-Paul Duperron, VP Corporate Internal Audi & Risk Management, Swiss Steel Holding AG
16:30		Kaffeepause mit Networking
16:45	AI Strategy for Autonomous Driving and Mobility The role of AI and Big Data for the future of mobility Aligning strategy with business goals Strategic AI projects across several departments and geographies Developing AI innovation prototypes towards customer products Muralikrishna Sridhar, Program Head, AI Stack, Platform & Services for Autonomous Driving and Mobility, Continental	Scaling Traps with AI/IoT Projects and how to avoid them Theoretically well-planned use cases fail in practice due a lack of data availability The cost of data collection and integration may exceed the benefit Maintenance use case: Nearly a failure, but a success at last AI/ML bases parts recognition Due diligence means to anticipate all possible traps Gregor Schrott, Vice-President Digital Service Innovation / Cognitive Services, Bosch
17:15	Data Strategy to Enable Digital Transformation Digital transformation in R&D using data management Data governance vs. data management The DAMA body of knowledge methodology Massimo Buonaiuto, EMEA Principal Scientist in Data Science, DSM
17:45	Customer Centric Data Science Use Case Thomas Bodé, VP - Head of Data & Analytics, Swarovski
18:15	Abschlussdiskussion und Wrap-up
18:20	Apéro