John is an Australian farmer who had serious problems with rabbits in his wide farm. There are many rabbits in Australia and they consume crops of his farm too quickly. He spends most of his day checking all the area of his farm again and again, to see if rabbits have shown up. Despite the […]
Here at U-Hopper, we have gone quite crazy about chatbots lately. For those of you who do not share the hype, chatbots are software programs that, by leveraging artificial intelligence tools and techniques, are able to chat with humans, typically by answering simple questions. At the moment, there is a large variety of chatbots out […]
This year the 13th edition of the Trento Economics Festival took place and we at U-Hopper were ready to monitor the Twitter coverage of the event with Tapoi. The main theme of this year’s edition has been Business and Technology and our analysis’ objective has been to verify (and actually confirm) that the social discussion was […]
The Internet-of-Things (IoT) landscape is characterised by the rapid emergence of new standards. In many cases no reference implementation is available for said standards, or only partial ones. Companies developing IoT solutions based on such standards face therefore two important issues: Conformance: is my solution compliant to standards? How can I guarantee that? Interoperability: is […]
Monitor the official Twitter account of Trento Smart City Week 2018 @trentosmart : this is what we have done during the four days of the event. Our objective has been collecting and presenting relevant information regarding the social coverage of the event.
We have just hired a new Data Scientist in U-Hopper: Christian Torrero! Curious to know something about him? Here's everything you need to know.
We have monitored the official Twitter account of the Trento Economics Festival 2017 during the four days of the event with the objective of showing the potential of Tapoi monitoring functionality and presenting some valuable information about the Festival.
Summarizing the results of an experiment run with 161 users in order to test the ability of Tapoi’s profiling and modelling capability to actually predict the interests of users.
Over the last few years many services have appeared, that use the WiFi signals emitted by smartphones to monitor the presence of people. The leading application of such services has been in the retail analytics sector, where they are widely used to monitor how many people pass in front of a store, how many enter […]