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William Headley (University of Surrey) frontierCities: A Funding Opportunity for Start-ups and SMEs Developing Smart Mobility Solutions
frontierCities, funded by the European Union under the 7th Framework Programme, operates as an accelerator to promote the use of FI-WARE (Future Internet Ware, www.fi-ware.org (http://www.fi-ware.org/)) under the Future Internet Public Private Partnership (FI-PPP) Programme. frontierCities is one of sixteen accelerators whose role is to disburse approximately 80M euros to SMEs, Start-ups and Web-Developers who can use FI-WARE technologies for use in Smart City applications. In particular, the frontierCities accelerator is focussing on the area of Smart Mobility and is therefore calling for proposals that address mobility issues on a city level. In addition to offering equity-free grants of up to 150,000 euros per SME and Start-up, we will also provide business and technical support throughout the duration of the grant. A presentation will be given that highlights the key aspects of this funding call. However, for more information, please visit www.fi-frontiercities.eu (http://www.fi-frontiercities.eu/) or register to view the online application form at http://www.f6s.com/fiware-frontiercities .
Laure Andrieux, Charles Galambos (Aiseedo, https://www.aiseedo.com)
Machine Intelligence for the IOT. Leveraging the rich sources of information gathered from sensors and human input can be a challenge. Their diversity makes it very hard to manually code for every combination of events; this is where Machine Learning comes in. In this talk, we look at examples of how you can use the latest Machine Learning techniques to harness the data and resources of the Internet of Things.
Aiseedo is a startup focused on facilitating access to these techniques. We enable better human-to-machine and machine-to-machine interactions. Our streaming cloud service, built on cutting edge data fusion and time-series Machine Learning allows you to create responsive IOT applications that leverage the time nature of live data.
David Fallon (Day Digital, http://www.day-digital.com)
The Internet of Things: My fridge keeps ordering milk! Having every device connected to the Internet keeps generating huge amount of data and can lead to unexpected scenarios. Big Data analysis can unleash some of these scenarios and help to prevent them. The talk will focus on technique for IoT data analytics and on how to give back users control of their things by building something that people will actually like. Many lessons learned from user-driven software development will be discussed during the talk.
Representative from a joint EU-Japan IoT project, including Japanese companies will be also present.