Swiss Leaders Dialog Big Data Strategies & Swiss Leaders Dialog Industry 4.0

High Level Digitalization Executive Exchange

Big Data and AI Dialog: 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.

Industry 4.0 Dialog: Leading Industry 4.0 summit in Switzerland. Key players discuss digitization and business models. Smart factories, connected products and intelligent supply chains revolutionize the economies. From product to service? From bulk production to customization and batch size 1? From owned to shared resources? From humans to robots? You'll find answers at Swiss Leaders Dialog. Train yourself and your organisation for Industry 4.0. Swiss Leaders Dialog is not a typical conference. It’s all about personal meetings with peers, consultants and experts. You may select meeting partners in our internal matchmaking platform, or be selected. The matchmaking shows the overleaps between interests and competencies. A very efficient exchange of experiences, ideas, solutions and strategic aspects. Our networking format delivers business knowledge and relevant contacts in the shortest possible amount of time.

Tickets

Event map

Additional Information

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 Science
  • Connecting customer, product, production and supply chain intelligently
  • Digital business models and future competition
  • Positioning in the platform economy / Competing or cooperating with startups?
  • From product to service – what are the implications of this paradigm shift?
  • Hunt or being hunted – anticipate and implement digital trends quickly
  • Big Data, Smart Analytics and Machine Learning
  • Digital Factory
  • New production methods and decentralization
  • Intelligent supply chains
  • Connected products (advantages, business models)
  • Customer centricity and batch size 1
  • Efficiency gains in the value chain through Industry 4.0 and IoT
  • New credit models in the IoT world (also future trends)
  • HR challenge: Which skills are needed?
  • Management concepts for more innovation and creativity (design thinking, agile, holacracy etc.)
  • Integrating IT legacy into the IoT world (existing ERP, MES, BI, DWH etc.)
  • Product data, standards, interoperability
  • Blockchains in IoT
  • Digital twins
  • Cyber-physical systems / autonomous systems / robotics