Patrick Buckley Thanks to AI, the future of video-conferencing is in sight. Throughout the COVID-19 pandemic, video-conferencing has become the backbone of both our work and social lives. Today, on #WorldHugDay, we take a look at some of the ways in which...
Patrick Buckley How IoT technology is helping candy producers make sweet profits! From chocolate bars to lollipops, gumdrops to Haribos, the confectionary industry is now worth an estimated 210$ billion worldwide. With the industry experiencing strong growth, it is no surprise...
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...
LUCA Movistar Team: the best cyclists, the best behind the scenes team, the best strategy and Big Data By Mikel Zabala, PhD (Sport Scientist, Lecturer at Granada University and member of the team of trainers for the Movistar Team), Javier Carro (Data Scientest en LUCA), y Pedro...
LUCA Deep Learning and satellite images to estimate the impact of COVID19 Motivated by the fact that the Coronavirus Disease (COVID-19) pandemic has caused worldwide turmoil in a short period of time since December 2019, we estimate the negative impact of...
LUCA Success Story: LUCA Transit and Highways England The transport industry is very receptive to the application of Big Data and Artificial Intelligence strategies, as there are clear use cases that can maximize a companies’ efficiency and...
LUCA Can Big Data and IOT prevent motorcycle crashes? Most of us are familiar with the dangers involved in driving motorbikes, with motorcyclists being 27 times more likely than passenger car occupants to die in a crash per...
LUCA Traffic spikes before football games? The effect of the World Cup in Germany Post written by Telefónica NEXT Once every four years, The FIFA World Cup brings fans together in a month of surprising events. Every game is different, but each is filled...
Big Dating: Could AI be the real matchmaker on Tinder?Florence Broderick 21 November, 2016 Online dating platforms such as Tinder, Happn and Hinge are seeing exponential growth, slowly sliding on to the home screens of smartphone users all over the world. Last week at the Web Summit in Lisbon, Tinder’s CEO, Sean Rad, presented about just how popular the world of swiping and superliking has become, declaring that 80% of people on the app are actually searching for “serious relationships”. He also shared that 85% of users are Millennials and that 1.4 billion swipes take place every day, creating 26 million daily matches. Figure 1: Could Artificial Intelligence be a game changed in the world of online dating? However, the massive popularity of turning to online forums to meet potential suitors can cause great frustration for many. In a world where we can digitalise and automate so much of we do, some find it to be too time-consuming, whilst some just get bored of the generic icebreaker conversations. So, what if Artificial Intelligence could relieve online daters of the daily monotony of searching for the perfect match? What if they could invest that extra hour in cooking their favourite recipe or hitting the gym ahead of any potential date? Well, with Bernie, they can. Figure 2: An overview of Bernie’s functionalities in the online dating world. Bernie, otherwise know as “Personal Dating Assistant AI”, is a startup based out of Vancouver and aims to take the friction out of online dating. This bot lets you write customizable messages introducing yourself to potential candidates, “sounding like you, not someone else“. He also provides “freedom from hours of daily swiping“, saving users time by eliminating dates who won’t work out. Furthermore, he also learns who you find attractive “working hard to meet your standards.” The solution relies on both Artificial Intelligence and Deep Learning and the founder reported their number crunching in this blog post, revealing that out of a sample size of 164,519 efforts (actions or events by Bernie), users only reverse Bernie 225 times, giving them a remarkable feedback accuracy of 99.86%. However, whilst Bernie may entertain the serial online dater, how will the potential “victims” feel when they find out it was a robot and algorithms who actually discovered their “unique” profile on online dating platforms? Well, the founder claims that his countless hours of research, experimentation and bug-fixing have been worth it as he has now found a girlfriend – who did not see any problem with his data-driven approaching to dating. On a more negative note, Tinder is also suffering from an invasion of trained Artificially Intelligent chatbots trying to trick users. Candid Wueest from Symantec explained that “the reason they exist is because somebody, somewhere is making money out of them” in an article in El Confidencial. These bots do this by driving traffic to commercial websites where they try to get users to suscribe to premium services, sharing their credit card details which can be used by potential fraudsters – all in their innocent pursuit to find love. An example of this was highlighted in TechCrunch, where many users reported fake profiles of women who were driving male users to a mobile game called Castle Clash with a Tinderverified.com URL to make it seem legitimate. Their spamming attempts aimed to accelerate their downloads but ended up aggravating lots of users who believed they were actually talking to real people as you can see below: Figure 3: An example of a Tinder Bot tricking a user to visit a gaming website. A similar case also took place when someone used Tinder to collect Uber referral credits, which was also against Tinder’s terms of service. As more and more of these cases emerge, it’s clear that one of the greatest challenges for online dating platforms is learning to co-exist with AI and bots, as innocent or dangerous as they may be for users. As well as protecting their users, they also have to ensure they are themselves integrating AI within their applications to make online dating smarter – so that users don’t even feel the need to download Bernie in the beginning. If they achieve that, then perhaps Sean Rad’s number of daily swipes may drop in the years to come. LUCA at Big Data Spain 2016: Our Full RoundupCommuter Traffic: Can Big Data solve the problem?
LUCA La transformación digital en la gestión del agua, ahora más que nunca Hoy en día mantenemos la incertidumbre de cuándo dispondremos de una vacuna o cuál será el impacto real en la sociedad y en la economía que nos deja esta...
Patrick Buckley Thanks to AI, the future of video-conferencing is in sight. Throughout the COVID-19 pandemic, video-conferencing has become the backbone of both our work and social lives. Today, on #WorldHugDay, we take a look at some of the ways in which...
Patrick Buckley How AI and Machine Learning help to develop vaccines As Christmas approaches this year, we have all been gifted the great news that the Pfizer/BioNTech vaccine has shown to be both safe and effective in creating an immune...
Patrick Buckley Is AI key to successful Real Estate investment? As Artificial Intelligence (AI) continues to shape the world around us, in today’s post we explore the impact of AI on commercial Real Estate investment. To what extent is...
LUCA Deep Learning and satellite images to estimate the impact of COVID19 Motivated by the fact that the Coronavirus Disease (COVID-19) pandemic has caused worldwide turmoil in a short period of time since December 2019, we estimate the negative impact of...
Patrick Buckley How should you speak to children about Artificial Intelligence? In previous years, people’s relationship with technology in general, and with artificial intelligence in particular, was based on “text”, usually using specialised programming languages. Today, however, artificial intelligence has...