LUCA Dining with Data Eating out at your favourite restaurant, discovering a hidden gem or even trying out a new recipe at home are some of the best ways to spend time. Some...
Diego Martín Moreno Blockchain technology In the previous article we talked about the basic concepts of the blockchain, and now we will focus on the current technologies to implement a blockchain solution. Blockchain and Smart...
Ismael Rihawi AI, IoT and Blockchain: surfing the third wave Back in 1980, “futurologist” Alvin Toffler published The Third Wave, a book inspired by Steve Case to express his vision of the development of the information technology paradigm in...
Beatriz Sanz Baños Distribution and Logistics Companies IoT technology services are already applied in the distribution and logistics industry to optimize different processes. This has a positive effect on the productivity, security and the preventive maintenance...
ElevenPaths How to forecast the future and reduce uncertainty thanks to Bayesian inference (II) In the first part of this article we explained how Bayesian inference works. According to Norman Fenton, author of Risk Assessment and Decision Analysis with Bayesian Networks: Bayes’ theorem is...
Gonzalo Álvarez Marañón 2019 Won’t Be the Year When Quantum Computers Replace the Cryptography That We All Use What would happen if a fully error corrected quantum computer of several thousands of logical qubits started working today? Public key infrastructures would fall down. The secrets of the...
Richard Benjamins. Four design principles for developing sustainable AI applications Artificial Intelligence (AI) has been put forward as the technology that will change the world in the coming decades. Many applications already have seen the light including recommendations of...
Richard Benjamins. AI, Data and IT – how do they live together? Many things related to AI and Data are about information technology (IT). Systems, platforms, development, operations, security, all are needed for creating value with AI and Data, and are...
Richard Benjamins. Lessons learned from The Cambridge Analytica / Facebook scandal It has been now some time that the Cambridge Analytica / Facebook scandal was first revealed on March 17, 2018 by The Guardian and the New York Times. Much has been...
Richard Benjamins. Will GDPR’s “right to data portability” change the data industry forever? After years of preparation, on May 25 2018, the new General Data Protection Regulation (GDPR) has come into force. Much has been written, discussed and speculated about it. Over...
Richard Benjamins. Artificial Intelligence is disrupting the law as we know it Years ago, science fiction movies used to seem very futuristic to us – making us feel detached from the remarkable innovations we saw from scene to scene. However, what...
Richard Benjamins. Are you ready to become the CDO? Applying Analytics to the CDO role As we have seen from an earlier post on CDOs, Chief Data Officers are becoming more popular. Increasingly more organizations are understanding that data is a strategic asset and...
Richard Benjamins. How these 4 sports are using Data Science Thousands of companies around the world may have started their journey to become data-driven, harnessing the full potential of Big Data, however, the world of professional sports is only...
Richard Benjamins. Artificial Intelligence vs Cognitive Computing: What’s the difference? The media hype around Artificial Intelligence (AI) and Cognitive Computing is unquestionable at the moment. They seem to appear everywhere on the Internet in the press, blogs, conferences and events...
Richard Benjamins. Big Data: What’s the economic value of it? How do we put an economic value on Big Data initiatives in our organizations? How can we measure the impact of such projects in our businesses? How can we...
Richard Benjamins. 54% of organizations now have Chief Data Officers, but should mine? With Big Data becoming such a big deal in the world of business, it is no surprise that the Chief Data Officer (CDO) has managed to wriggle its way...
LUCA The 7 priorities of a company when adopting Blockchain Last week I shared with the 101Blockchainscommunity of professionals and digital innovators the Blockchain vision we have at Telefónica and how companies can create value by adopting this technology. If...
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...
Richard Benjamins. Artificial Intelligence in small and medium-sized enterprises We hear of increasingly more applications of Artificial Intelligence ranging from improved medical diagnosis to autonomous vehicles to automatic translation to voice recognition. But when we look at the...
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...
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...
