Olivia Brookhouse Telemedicine, the new age of Healthcare Healthcare always seems to lag behind other consumer technology, lacking innovation and remaining inefficient. This is partially due to regulatory restriction but also an unwillingness to adapt and innovate...
Alfonso Ibañez Semi-Supervised Learning… the great unknown In recent years much progress has been made in solving complex problems thanks to Artificial Intelligence algorithms. These algorithms need a large volume of information to discover and learn, continuously, hidden patterns in the...
Beatriz Sanz Baños “Truly the Matrix, minus the human batteries” The Fourth Industrial Revolution is about much more than just applying today’s technology to industries. It’s about integrating intelligent cyber-physical systems such as AI and machine learning along with...
Mirian Martinez Varas The 10 best blogposts of 2017 The year 2017 has been prolifically successful and productive. With its memory still fresh in our minds, now seems a good time to survey the best articles published during...
ElevenPaths Telefónica promotes the digital transformation towards ‘Industria Conectada 4.0’ * This post was translated and originally published here (Spanish) within the framework of the I Congreso de Industria Conectada taking place in Madrid the 21st of September. The...
ElevenPaths How to Detect and Protect Yourself from Phishing Attacks in Times of Coronavirus The overinformation caused by the huge amount of news we receive about coronavirus makes it harder to distinguish true from fake emails. This poses a great risk to people’s security, since it...
Olivia Brookhouse How to build a Smart City: with IoT and Big Data A smart city is defined as a high-performance urban environment, where the aim is to optimize the use of resources and access to services. Smart cities take advantage of technological...
Beatriz Sanz Baños Telefónica IoT and Honda reduce motorbikes robbery Pucallpa, located in the middle of the Peruvian jungle, has a big concern with the safety of their citizens and their vehicles. With a population of 200.000 inhabitants, the motorcycle...
Cascajo Sastre María Madrid is IoT Madrid has positioned itself as one of the Smart cities of reference thanks to the use of connected devices to manage the fight against pollution, lighting, traffic, parking of...
Beatriz Sanz Baños How to know how smart a Smart City is Forbes illustrates the clear cut contrast bigger cities face. On one hand, cities are responsible for generating 80% of the world’s wealth but compared to other geographical spaces they...
María Cascajo Sastre Smart Parking, IoT valet parking for Smart Cities Parking is one of the most repetitive and time consuming activities we carry out in life. We spend on average up to 106 days in our life, finding parking...
María Cascajo Sastre 10 features that the city of the (near) future will have The city of the future will provide citizens with a more comfortable life thanks to M2M technology. Some advances are already making their way into our urban environments and...
Olivia Brookhouse Can Artificial Intelligence understand emotions? When John McCarthy and Marvin Minsky founded Artificial Intelligence in 1956, they were amazed how a machine could perform incredibly difficult puzzles quicker than humans. However, it turns out...
Gabriel Bergel Risk Analysis Applied to COVID-19 Our CSA Gabriel Bergel shows you how to apply the Risk Analysis methodology to the management of the COVID-19 threat.
ElevenPaths How the “antimalware” XProtect for MacOS works and why it detects poorly and badly Recently, MacOS included a signature in its integrated antivirus, intended to detect a binary for Windows; but, does this detection make sense? We could think it does, as a...
Richard Benjamins. How to measure your data maturity? Big Data and Artificial Intelligence (AI) have become very popular these days, and many organizations have started their data journey to become more data-driven and take automated, intelligent decisions....
Santiago Morante Cendrero Warning About Normalizing Data For many machine learning algorithms, normalizing data for analysis is a must. A supervised example would be neural networks. It is known that normalizing the data being input to...
