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IT innovation, Kim Escherich
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IT innovation, Kim Escherich


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  • 1. • Smarter cities Create awareness of ”The Internet of Things” Intelligent transport systems Build traceability architectures for the food industry • Prevent counterfeiting in the European horticultural sector • Design solutions to track sea containers • Develop ideas and solutions addressing client problems, developing new products and services – using new technology • • Executive Innovation Architect Managing IT- & Services Strategically CBS/SIMI Diploma, 2001 • Architect a solution, i.e. to bridge business requirements with technical capabilities and design what is inbetween • • Ability to function at all levels of a given problem and across several domains: Strategy, business, technology, implementation Msc Econ/Cand. Polit. University of Copenhagen, 1991 Optimze the construction industry by integration of 3D building models with RFID-tagged construction materials • Challenge the way banks think about marketing by implementing digital media • Optimise the way galactic IT-implementation projects collaborates
  • 2. WHAT HOW WHY Are we seeing that influences our lives, products, environent and ways of working? Are we addressing problems and issues through technology and how can this make things better? Is all of this interesting in an innovation perspective and how should can we take the challenge?
  • 3. Minneapolis Interactive Macro-Mood Installation
  • 5. Koubachi WiFi Plant Sensor ”Give your Plant a voice” -
  • 6. 50 40 30 20 10 0 2003 2010 2015 2020 Source: Cisco IoT 2011 infographic and
  • 8. In 60 seconds • • • • • • • • 2,4M posts on Facebook 204 million e-mails sent 15.000 downloaded from iTunes 2 million Google search queries 20 million photo views on Flickr 278.000 tweets 72 hrs of video uploaded to YouTube 11.000 searches on LinkedIn
  • 9. 100 9000 Volume in Exabytes 8000 Percentage of uncertain data 80 7000 60 6000 Social Media 5000 4000 You are here 3000 20 VoIP Enterprise Data 2010 Source: IBM Global Technology Outlook - 2012 40 2015 0 Percent of uncertain data Sensors & Devices
  • 10. Big data changes everything: From forecasting to nowcasting Volume Terabytes to exabytes of existing data to process Velocity Variety Veracity Streaming data, millisecond s to seconds to respond Structured, unstru ctured, text and multimedia Uncertainty from inconsistency, ambiguities, etc.
  • 12. Environmental management Intelligent transportation Public safety Energy management Water management
  • 13. HOW
  • 14. SHOAL: Pollution-monitoring fish Placemeter: Real-World Analytics Brain-to-brain communications Ambient Energy Orb Mimo Baby Kimono Fitbit Raspberry Pi
  • 15.
  • 16. WHY
  • 17. Innovation We are ushering in a new wave of innovation Age of Steel, Electricity and Heavy Engineering The Industrial Revolution Age of Steam and Railways Age of Oil, Cars and Mass Production Age of IT & Telecom 6th Wave 5th Wave 4th Wave Smarter Products 3rd Wave  Instrumented, i nterconnected, and intelligent  Building blocks for a smarter planet 2nd Wave 1st Wave  Sustainability 1770 1830 1875 1920 1970 2010
  • 18. Sixth Wave Thinking 6th Wave 1.Waste = Opportunity 2.Sell the Service, not the Product 3.Digital and Natural Converge 4.Bits are Global, Atoms are Local 5.If in Doubt, Look to Nature
  • 19. Price 23
  • 20. Biodynamic Organic Conventional Pesticides Production method Network Herpacides Price Production environment Chemicals Child labor Sustainability Packaging Geosphere Profiled Biosphere GMO Environmental footprint Health consequences Positive Track Negative Sociosphere Transport History/Origin 24 Climate change Sustainability Health impact
  • 21. IBM Thank you Kim Escherich IBM Global Business Services +45 2880 4733 @kescherich /in/escherich /escherich 25 © 2013 IBM Corporation