
Big Data and Advanced Analytics in a strategic business perspective. For the third time Swiss corporate decision makers meet at the country's leading digitization summit. Join in and discuss business models, trends and technologies in one-on-one and group meetings with peers and consultants. Be inspired by Switzerland's most exciting use cases. Two days of intensive networking and compressed knowledge transfer.
Swiss Business Leaders, Solution Providers and Scientists Discuss Big Data Potentials, Business Models and Use Cases. Exponentially increasing internal and external data form the new factor of production. New Big Data technologies enable the analysis of giant amounts of data and the optimization of processes in realtime which leads to new business models and services. There is a big gap between technological possibilities and real business in the field of data analysis and realtime process optimization. Business leaders in many companies are aware of this gap and begin to explore the potentials of Big Data to improve performance and react quicker to market changes.
In fact Big Data technologies will change economic systems fundamentally. Companies adapting Big Data intelligently will accelerate processes, decision making and time-to-market. These companies will have huge advantages in competition. Already today studies and use cases show there is a quick RoI in Big Data projects.
New database systems, linguistic analytics and virtualisation tools demand for faster IT systems, even more network bandwith and giant storage. Cloud will be key since distributed and connected data centers analyse the biggest amount of data in realtime and distribute it to whatsoever device. This cloud focus demands for the highest IT security and IT compliance standards.Big Data market development is also an indicator for the relevance. Global turnover will rise from 10 bln. (2013) to 50 bln. Dollar (predicted for 2017). 45% of European companies started Big Data projects. 75% of German companies explore potential applications. Managers know instinctively there is more business potential in existing data, but ideas and strategies to make commercial use out of this treasure are still missing in many departments – this however is a brilliant prerequisite for two days of managed networking between decision makers from companies buying or selling big data solutions. Key value-ads of Big Data:
- Realtime company becomes a reality. All players in all departments have realtime access to the same and comprehensive information.
- Detailed realtime performance data enables extended simulations and a quicker time-to-market.
- Customer segments can be easily identified and addressed in a better way within the data jungle.
- Intelligent analysis and editing of huge data volumes in realtime enables better and faster support for all decision-making.
- New business models, products and services
Some examples how business departments benefit from Big Data:
- Marketing and sales can adapt their offerings much better to customer segements or individual customers automatically.
- Production departments optimise their processes with IoT and M2M solutions. Sensors collect data alongside the supply and production chain as well as in operations. Manufatcuring companies connect all players involved in production and integrate suppliers and business partners.
- Highly complex calculations based on Big Data improve processes in finance departments like controlling or reporting.
- R&D analyses sensor data from sold products or customer feedbacks given in social media platforms.
Thomas Bodé
Director Corporate BI
Daniel Swarovski Corporation AG
The Challenge to Create a Data Organization
- How to treat data as an asset
- How to build a data competence center integrating all relevant competencies
- How to position the CoC as the relevant internal party to address data governance
Matthias Trabandt
COO & Member of the Executive Board
Swiss Life Deutschland Holding
How to Make an Established Corporation Agile
- Digital change is cultural change
- Scrum at Swiss Life
- 10 agile teams, 300+ sprints in two years
- Lessons learned and outlook
Prof. Dr. Reinhard Riedl
Research Head
Department of Economy
Bern University of Applied Sciences
A National Data Strategy for Switzerland
Bernhard Brodbeck
CEO
WinJi AG
A New Green Energy Business Model Based on Big Data
Ina Vogelgesang
Director Product Management & Member of the Executive Board
Schaerer AG
Digital Transformation at Schaerer
Daniel Rolle
Head of Business Intelligence
C3 Creative Code and Content GmbH
Prescriptive Analytics Use Cases
- Königsdisziplin Prescriptive Analytics: Predictive plus Handlungsempfehlung
- Prescriptive Analytics implementieren: Strategien, Optionen, Technologien
- Prescriptive Analytics as a Service
- Featured Use Cases
Prof. Dr. Abraham Bernstein
Chair Department of Informatics
University of Zürich
Big Data and Machine Learning - Current Scientific Trends
Agnieszka Martin
Lead Processes and Tools Global CIT
Novartis AG
Bridging the Gap Between Agile IT Innovation and Diligent Process Implementation
Prof. Dr. Amos Albert
CEO Deepfield Robotics
Bosch Gruppe
Building a Corporate Startup - An Insider's View
- Paradigm shift through big data and digitization
- Agility and organisational change
- War for digital talents and startup spirit in large corporations
- Digital infrastructure and provider ecosystems
- From product to service
- Machine learning and artificial intelligence
Thomas Baumann
IT Performance Architect
Swiss Mobiliar Insurance Company AG
AI and Machine Learning at Mobiliar
- Current machine learning use cases
- Data supply for cognitive analysis
- System architecture for BI, big data and ML
Dr. Anna P. Gawlikowska
Head of Digitalization Strategy
Implenia Schweiz AG
Developing Digital Business Models in The Construction Industry
Torsten Wongel
Head of CRM and Channel Management
Atupri Health Insurance
Big Data and Digitization as a Mega Opportunity for Atrupi
Dr. Michel Neuhaus
Head of Analytics Enhanced Distribution
UBS AG
Business Analytics in the Banking Industry
Eric Dubuis
CIO/CHRO
Comet AG
Organizational Measures to support Big Data Strategies
- Orchestrating corporate strategy and innovation management is a part of digitization
- Corporate agility: Good Practice? Or new ways?
- Key factors mindset and ambidextrous organisation
Company | Role |
Time | Activity | |
8:00 | Visitor Registration | |
9:00 | Opening | |
9:15 | Bridging the Gap Between Agile IT Innovation and Diligent Process Implementation Agnieszka Martin, Lead Processes and Tools Global CIT, Novartis AG | ![]() |
9:50 | How to Make an Established Corporation Agile • Digital change is cultural change • Scrum at Swiss Life • 10 agile teams, 300+ sprints in two years • Lessons learned and outlook Matthias Trabandt, COO & Member of the Executive Board, Swiss Life Germany Holding | ![]() |
10:25 | Coffee Break | |
10:40 | Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
11:10 | Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
11:40 | Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12.10 | Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:40 | Lunch with Networking | |
13:40 | AI and Machine Learning at Mobiliar • Current machine learning use cases • Data supply for cognitive analysis • System architecture for BI, big data and ML Thomas Baumann, IT Performance Architect, Schweizerische Mobiliar Insurance Company | ![]() |
14:15 | Prescriptive Analytics Use Cases • Predictive + guidance = prescriptive analytics • How to implement prescriptive analytics: strategies, options, technologies • Prescriptive analytics as a service • Featured use cases Daniel Rolle, Head of Business Intelligence, C3 Creative Code and Content GmbH | ![]() |
14:50 | Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
15:20 | Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
15:50 | Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
16:20 | Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
16:50 | Coffee Break | |
17:10 | A New Green Energy Business Model Based on Big Data Bernhard Brodbeck, CEO, WinJi AG | ![]() |
17:40 | Big Data and Machine Learning - Current Scientific Trends Prof. Dr. Abraham Bernstein, Chair Department of Informatics, Universität Zürich | ![]() |
18:10 | Building a Corporate Startup - An Insider's View • Paradigm shift through big data and digitization • Agility and organisational change • War for digital talents and startup spirit in large corporations • Digital infrastructure and provider ecosystems • From product to service • Machine learning and artificial intelligence Prof. Dr. Amos Albert, CEO Deepfield Robotics, Bosch | ![]() |
19:00 | Apéro at the bar - Chill Out After an Exciting Day |
Time | Activity | |
8:30 | Digital Transformation at Schaerer Ina Vogelgesang, Director Product Management & Member of the Executive Board, Schaerer AG | ![]() |
9:05 | A National Data Strategy for Switzerland Prof. Dr. Reinhard Riedl, Research Head, Department of Economy, Bern University of Applied Sciences | ![]() |
9:40 | Big Data and Digitization as a Mega Opportunity for Atrupi Torsten Wongel, Head of CRM and Channel Management, Atupri Health Insurance | ![]() |
10:15 | Coffee Break | |
10:30 | Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
11.00 | Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
11:30 | Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:00 | Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:30 | Networking Session 13 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
13:00 | Lunch with Networking | |
14:00 | The Challenge to Create a Data Organization • How to treat data as an asset • How to build a data competence center integrating all relevant competencies • How to position the CoC as the relevant internal party to address data governance Thomas Bodé, Director Corporate BI, Daniel Swarovski Corporation AG | ![]() |
14:35 | Developing Digital Business Models in The Construction Industry Dr. Anna P. Gawlikowska, Head of Digitalization Strategy, Implenia Schweiz AG | ![]() |
15:10 | Business Analytics in the Banking Industry Dr. Michel Neuhaus, Head of Analytics Enhanced Distribution, UBS AG | ![]() |
15:45 | Organizational Measures to support Big Data Strategies Eric Dubuis, CIO/CHRO, Comet AG | ![]() |
16:20 | Wrap-up and Closing Ceremony |
- 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.
- The booking becomes valid when confirmed by Cintelligence.
- Cintelligence guarantees for the services stated above.
- Payment is due prior to the event after booking, because Cintelligence starts to work for the client immediately after booking (presentation of solutions, research etc.) and needs to pay servcies in advance herself.
- Cintelligence 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 Potsdam (close to Berlin), Germany
Business Matching
Cintelligence was founded by leading experts for networking and business development events.
- Our invitation and admissions strategy creates qualified high level experts groups to assure meaningful networking.
- As attendee you’ll receive an online questionnaire for your interests and competencies you’d like to share.
- Your profile based on the questionnaire will be matched with the profiles of peers and solution partners.
- The results of this matchmaking will be documented prior to the event in our online platform, i.e. you’ll see how other members can help you with your challenges or how you can help them.
- Results are being sorted by relevance.
- Based on these results you can ask for and prioritize meetings or be asked by others within the online platform.
- Based on these wishes we’ll propose meeting schedules with individual agendas for you to make the most out of limited time.