What will we do with this data? It is daunting for many organizations to grasp the amount of big data being produced from sensors and devices, let alone getting business value from it. And as a consequence how will it effect the deployment of IoT and influence our daily life, Internet of People.

Still IoT and Big Data are very much a technology driven activity applied by hard- and software developers, whereby competing technologies offer different solutions with unclear business cases.

With IoT in one hand and Big Data in the other real human problems can be solved, instead of simply marketing new gadgets and services.

The second edition of this event will merge knowledge, business, technology, services, creativity and social issues.


Attendance fee

Go to the registration page.


 

The following topics will be covered during the seminar:

  • What are actual business cases for IoT in Healthcare, Consumer Electronics, Utilities and Automotive and how will this impact business in the future
  • How will IoT influence Big Data, and vice versa
  • What is the current status of IoT technologies (f.i. ZigBee, zWave, DECT ULE, Wi-Fi, Bluetooth, GSM, KNX, Homeplug etc.), how do they compete and are they complementary
  • Who takes the lead in the value chain of IoT
  • What are legal, social and IP consequenses of IoT (will Big Brother watch us in the future)
  • How do we want IoT be valuable for the consumer

 


The event contains three linked activities:

  • The seminar will tackle social, technical, cultural and design challenges, discuss innovative solutions, show new business opportunities and will give an outlook into the future of Internet of Things, Big Data and Internet of People
  • The exhibition will show Internet of Things, Big Data and Internet of People products and services in its current and future formats.
  • The IoT award challenge will give designers/engineers /business developers the chance to present their innovative IoT idea/concept/service etc.

 


The event is interesting for the following target groups:

  • Management, strategic marketing and business development, senior management in purchasing and ICT of:
    • Companies/organizations who want to deploy IoT
    • Hardware manufacturers (components, Telecom, IT, Consumer Electronics, White Goods, sensors etc.), Open Source included
    • Software manufacturers (OS, applications, embedded software, open data, data visualization), Open Source included
    • System Integrators
    • Service Providers
    • Operators / ISP’s
    • Utilities (Energy, electricity, water)
    • Venture Capital / Financial industry
    • Design companies (product, interaction, service and Visualization)
    • IP / legal and regulation bodies
    • Visionares who see potential in Internet of Things
    • Educational Institutions
  • Executives who want to learn how leading companies leverage advanced analytics to compete and win
  • Interactive marketing innovators who want access to “game changing” insights for digital marketing optimization
  • Enterprise architects, data warehousing, and business intelligence professionals looking to provide the infrastructure for big data and advanced analytics to their business partners
  • Data scientists, business analysts, statisticians, “quants”, hackers, or analytics professionals responsible for making data-driven business decisions
  • UI developers, sociologists, psychologists etc. who want to learn what the human factors should be in IoT and Big Data