If you are passionate about the Internet of Things, then you know that IoT is everywhere: in sports, in healthcare, industry, photonics and in your life. Take a look at what is happening in IoT in the second half of 2016: Continue reading “IoT-related upcoming events”
Enterprises are spending as much on the Internet of Things as on cloud, mobility and analytics, according to Vodafone’s annual research into the sector.
The operator’s 2016 IoT Barometer found that respondents are dedicating 24 percent of their IT budgets to the IoT.
This is slightly more than is being allocated to mobility (23 percent), cloud (23 percent) and analytics (22 percent).
The survey covered 1,096 people in 17 countries across nine industry verticals. Continue reading “2016 is the year the Internet of Things entered the mainstream”
According to Simon Jagers, Semiotic Labs, is Condition Based Maintenance the killer app for the Industrial Internet of Things: It offers compelling value and is often architected to scale. Continue reading “‘Condition Based Maintenance: Sensor quality matters’ presented by Simon Jagers, Semiotic Labs”
UK and global companies are investing massively for Industry 4.0 success
Around 74% of UK firms1 expect to drive high levels of digitisation and integration by 2021, according to a new global report by PwC, Industry 4.0: Building the Digital Enterprise.
As manufacturing firms increasingly focus on Industry 4. 0, PwC’s survey of over 2,000 global companies across nine industry sectors reveals that 33% of global firms already rate their level of digitisation as high, with this value rising to 72% when asked for a five year prediction. Continue reading “UK and global companies are investing massively for Industry 4.0 success”
Stellar Data Recovery will exhibit at the Internet of Things Event, which will take place on June 07-08, 2016, at High Tech Campus Eindhoven in The Netherlands.
Photonics is playing the enabling role for sensors and data transport to create the IOT. In this talk we will elaborate on the role of photonics sensors for data generating devices for IOT. Photonics sensing is becoming more important and especially sensors for monitoring the environment are. An example of a fine dust sensor will be given which has enabled community sensing as well as sensing for improving the work conditions in construction work by ISENSIT. Data centers have double growth numbers already and this will continue in the coming years. The datacenters are the physical location for the IOT Cloud. The data transport is having similar growth numbers and the photonic components are the enablers for the miniaturization, energy reduction and bandwidth needs in the data centers. Examples will be given on these components and the importance of photonics will be described by the unique lasers being developed by VTEC and Sinochip for data transport in data centers.
Russ will explain in simple terms the kinds of sensors required in various use cases, how to capture data from these devices into an enterprise system using message brokering technology, and how to derive insights from the recovered data. He will then demonstrate some live cases – both at the enterprise level and using local sensors.
Robot Journalism can leverage the power of the Internet of Things by using it both as a data source and an outlet. As our world has more and more interconnected devices and sensors, we can collect more and better data and analyse it to flag interesting developments and human needs to journalists. This way the news can be more accurate, timely and relevant, while freeing up journalists for more complex investigative journalism. Furthermore, connected output devices will allow us to provide the right real-time news in the desired modality to the right people. All together this how Robot Journalism can provide more meaningful news to it’s users: Tomorrow’s News. Continue reading ““Tomorrow’s News: leveraging the Internet of Things for Robot Journalism” – Presented by Hanna Zoon, Fontys FutureMediaLab”
Cloud.diet is a fully mobile compatible online diet program that systematically changes itself based on your own particular lifestyle, always improving its prescribed plan based on what is working for you and other dieters. We like to think of it as a living, breathing diet that is constantly evolving based on real life data and research. Continue reading “Machine learning applied in diet system (Video)”
Learn about how one of the hottest startups in Europe is approaching the problem of understanding data generated by IOT devices.