The main obstacles to implementing Industry 4.0 and digitization projects are conservative employees, departments, business units and board members, as well as existing incentive systems and a lack of knowhow. Dieter Peters outlines ways to succeed by presenting pharma manufacturing and supply chain use cases.

Old and new driving forces need to be integrated within the end-to-end supply chain, the business- and manufacturing processes

Old “eternal” drivers:

• Profit increase
• Cash flow optimization
• Competitiveness
• Innovation
• Planning certainty and -accuracy (Market rate! Bonuses!)
• Service level
• Maintenance
• Unit cost
• Improve – Learn – Start
• Summarized: Excellence

Predictive maintenance is a major trend in the area of IoT-systems. Often complex machine learning algorithms are foreseen to predict the remaining useful life of parts of machines. Moreover, transfer learning promises to use pre-trained machine learning models and apply them to new settings. However, we argue that the most time-consuming task of building an end-to-end IoT system is not experimenting with machine learning models but to manage and fuse data from various systems. In this talk we provide insights into our experience on designing a big data architecture for end-to-end IoT systems that enable stream processing and machine learning in real time. Moreover, we discuss the role of data integration and how additional data sources can be used to improve the accuracy of machine learning algorithms.

Last two decades we have explored the Internet , and used the entities of Business and Consumer to deliver several Digital business models with permutations and combinations ( B2B, B2C, C2B, C2C…).. Where do the future horizon looks for further business models? Where do we go from here? What will be additional economic agents that may bring additional business models for Digital ? Predictions show we are going to have additional economic agents in the next two decades, what are they? We explore them in this presentation.

• Blockchain-based traceability from field to fork (origin, quality, CO2 footprint)
• Sensors and connectivity on the machine level (also for retrofitting)
• Data based business models: Predictive maintenance and performance consulting
• New business unit “Digital Technologies” in London
• Cultural change – internally and at customers
• Chocolate manufacturing and industrial bakery use cases

• New customer interfaces
• Process Automation
• Use of realtime data
• Seamless digital experience

• The time dimension: from development to serial life
• The job dimension: from product definition over production to product support
• Helicopter Use Case

• Unmanned aerial vehicles will add value to operations and optimize processes
• Autonomous systems will transform the supply chain
• Use case: Swiss Post drones fly laboratory samples for Ticino EOC hospitals group
• First key findings
• Current trends in the industry

• Logistics products in the old days – logistics services today
• Digitization and service orientation
• The human convenience factor
• Best practices

• Different strategic options for implementation and governance
• Pros, cons and risks in the CEO perspective
• Infrastructure aspects in the IT perspective
• Open and flexible data platforms

• BlackBox digital marketing, our internal operating defintion: A digital market marketing initiative where the marketers have no direct visibility a priori and/or a posteriori of the behaviors of their segments/targets and need to leverage analytical insights as proxies to be able to deliver meaningful tailored and targeted content
• The regulatory and technological landscape is rapidly changing; keeping privacy at the heart of new digital marketing techniques will be critical
• Blockchain is expected to play a key role in the shift back to individuals claiming back their personal information
• This new context would not give a second chance to make a good first impression
• The industry will need to develop new analytics capabilities to predict preferences based on anonymously-defined behavioral segments
• The consumer will be the winner, getting only relevant content whilst keeping complete ownership and control over his personal information during the whole process

• Development of digital value propositions
• How smart connected products lead to radically new, service-oriented business models
• The concept of digital maturity
• Some real business cases

• Smart oil and gas installations
• Realtime data analytics for smart operations and maintenance
• Using customer data for product improvements
• Enhanced customer experience and customer relation

All solution partner packages include the following services:

• Invitation of corporate decision makers who are interested to meet with suppliers to discuss projects.
• Matchmaking between the parter’s solutions and the interests and projects of the invited coporate decision makers.
• Documentation of individual matching results with opportunities to select meeting partners.
• Exclusive space at event venue for confidential one-on-one meetings.
• Appointed meetings with pre-qualified decision makers, max. 30 miuntes each, pre-arranged with advanced business matching methods and approved by both sides.
• Delegates and project profiles of all decision makers prior to the event.
• Full event participation for every person booked.
• High standard catering for every person booked.
• Presentation of the partner’s solutions in invitation calls, newsletters and on the event website with logo and links to partner web resources.
• Invitation of companies and managers named by the partner if desired by the partner and in accordance with the event character.

Terms & Conditions (all we need indeed):

• The booking becomes valid when confirmed by Cintona
• Cintona guarantees for the services stated above.
• Payment is due prior to the event after booking, because Cintona starts to work for the client immediately after booking (presentation of solutions, research etc.) and needs to pay servcies in advance herself.
• Cintona is not liable for damages caused by technical malfunctions or force majeure like e.g. acts of God, war, riots, terrorist threats or activities, political constraints or trade disputes.
• The regular cancellation fee is 25% of the invoice. In a period starting 4 weeks before the event the fee is 100% of the invocie.
• The solution partner bears expenses for damages caused by the partner’s representatives during the event.
• Place of jurisdiction shall be Kreuzlingen (close to Zürich), Switzerland