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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

Tolles Setup und sehr gute Organisation, was ein Networking auf hohem Niveau und offenen Austausch ermöglicht hat. Spannende Vorträge , die neue Perspektiven aufgezeigt haben.

Axel Vogelbruch, Global Head of Digitalization (CDO), BYK-Chemie GmbH

Der Strategiedialog war eine sehr sinnvolle und interessante Veranstaltung, und das sowohl als Präsentierende, als auch als Teilnehmerin. In entspannter Atmosphäre haben sich bei viel Flexibilität sehr interessante Netzwerkkontakte ergeben. Herzlichen Dank!

Katharina Uribe Casillas, VP Global Business Development Automotive & Industrial, Kuehne + Nagel

Herzlichen Dank für die zwei sehr spannenden Tage in Zürich. Es war ein perfekt organisierter Anlass mit einer idealen Teilnehmergrösse, die viele persönliche, inspirierende Gespräche unter Entscheidern ermöglichte.

Dr. Axel Thoma, Lehrbeauftragter, Universität St.Gallen

Hervorragende Möglichkeit zum Networking mit Gleichgesinnten. Exzellente Organisation und sehr interessante Themen.

Domonkos Gaspar, Digital Solutions Leader, Roche

Exzellent organisierte Veranstaltung mit praxisorientierten, relevanten Vorträgen und der Möglichkeit für umfangreichen Austausch.

Thomas Röttinger, CEO, Pewatron AG

Sander Ruitenberg, Global Digital Health Solutions Head, Novartis

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

Daniele Lisetto, Global Head IT Strategy Office, ABB

The "RIO" Transition – Rationalization of IT Operations

  • How to change a large corporation's hosting provider
  • Transition risk management
  • Enable cultural change
  • Performance review

Jean-Paul Duperron, VP Corporate Internal Audi & Risk Management, Swiss Steel Holding AG

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

Frank Ernst, Global Digital Lead Manufacturing, LafargeHolcim

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

Benedikt Braig, Head of Business Development Equipment-as-a-Service, Trumpf

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

Pascal Hulalka, CTO, Protectas

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

Bastian Best, European Patent Attorney , Bardehle Pagenberg Attorneys in Law

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

Gregor Schrott, Vice-President Digital Service Innovation / Cognitive Services, Bosch

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

Harald Kirsch, Head of Automation and Industrial IT, ALD Vacuum Technologies

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

Massimo Buonaiuto, EMEA Principal Scientist in Data Science, DSM

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

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?

Prof. Dr. Enkelejda Miho, Head of MSc Medical Informatics, FHNW University of Applied Sciences and Arts Northwestern Switzerland

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

Thomas Bodé, VP - Head of Data & Analytics, Swarovski

Customer Centric Data Science Use Case

Jean Benjamin Voigt, Director /Head Portfolio & Capital Analytics, Credit Suisse

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-Baptiste Cornefert, VP Digital Innovation and Low Carbon Solutions, BP

Big Data Strategy in the Energy Storage Sector

Muralikrishna Sridhar, Program Head, AI Stack, Platform & Services for Autonomous Driving and Mobility, Continental

AI Strategy for Autonomous Driving and Mobilty

  • The role of AI and Big Data for the future of mobilty
  • Aligning strategy with business goals
  • Strategic AI projects across several departments and geographies
  • Developing AI innovation prototypes towards customer products

Mika Rissa, Senior Vice President Product, One Logic

Data Cartography - New ML Based Approaches to Assess the Quality of Very Large and Unstructured Data Sources

Stream 1

Stream 2

Stream 3: Networking

08:30Start Registrierung
09:00Transforming 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
  • 09:30Sourcing 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
  • 10:00How 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
  • 10:30Kaffeepause mit Networking
    10:45Workshop

    TBA

    11:45Workshop

    TBA

    12:45Lunch mit Networking
    13:30Workshop: 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
    14:30How 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





  • 15:00AI 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
  • 15:30A 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



  • 16:00Big 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





  • 16:30Kaffeepause mit Networking
    16:45AI 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















  • 17:15Data 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
  • 17:45Customer Centric Data Science Use Case

    Thomas Bodé, VP - Head of Data & Analytics, Swarovski



    18:15Abschlussdiskussion und Wrap-up
    18:20Apéro

    Stream 1

    Stream 2

    Stream 3: Networking

    08:30Start Registrierung
    09:00Transforming 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
  • 09:30Sourcing 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
  • 10:00How 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
  • 10:30Kaffeepause mit Networking
    10:45Workshop

    TBA

    11:45Workshop

    TBA

    12:45Lunch mit Networking
    13:30Workshop: 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
    14:30How 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





  • 15:00AI 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
  • 15:30A 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



  • 16:00Big 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





  • 16:30Kaffeepause mit Networking
    16:45AI 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















  • 17:15Data 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
  • 17:45Customer Centric Data Science Use Case

    Thomas Bodé, VP - Head of Data & Analytics, Swarovski



    18:15Abschlussdiskussion und Wrap-up
    18:20Apéro

    Grand Hotel National, Haldenstrasse 4, CH-6006 Luzern, phone +41 41 419 09 09, info@grandhotel-national.com

    Ticket gilt auch für den parallelen Swiss Leaders Dialog Big Data Strategies.

    Buchung mit Kreditkarte: Hier klicken

    Buchung auf Rechnung:

    Ich bestelle Ticket/s. Die Gebühr beträgt 299 CHF + 7.7% Mwst. pro Ticket.

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