Patrick Buckley Robot Waiters – The future or just a gimmick? As we continue to battle the COVID-19 pandemic, the hospitality industry is looking to technology as a way to keep workers safe. Could robot waiters be the answer? In...
Patrick Buckley How will AI change the labour market for the better? From the way we shop, to the way we learn, the digital world in which we live is unrecognisable from the reality of a decade ago. One area which...
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...
LUCA Could Big Data solve the music industry’s problems? Musicians relations with their publishers and labels have always been tumultuous and it has been alleged with the amount of middle men in the industry that it can take...
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 LUCA boosts brand engagement with “Sponsored Data” product Sponsored data is the mobile data equivalent of the toll-free telephone service where a third party or carrier pays for the customer’s access to the internet or a set...
LUCA The new Spain: redrawing the country using mobility data One of the most exciting fields that the use of data opens up is the study of networks. Our societies, communications, infrastructure, businesses and many other areas of life...
Can Mobile Data combat Climate Change in Germany?LUCA 24 November, 2016 One of our favourite topics here at LUCA is using Big Data for Social Good, to measure our progress on Sustainable Development Goals. Three of the 17 goals are closely linked to Climate Change: Affordable and Clean Energy; Sustainable Cities and Communities and Climate Action. Telefónica has shown their commitment to these goals by promising that 50% of its energy will be renewable by 2020 (and 100% by 2030). As the specialist Big Data unit of Telefónica, we strongly believe that data is fundamental in ensuring we drive society towards a more sustainable model – as we showed yesterday with our post on the opportunity of finding carsharers using mobile phone data. Video: How Telefónica commits to 50% renewable energy by 2020. However, aside from goals 7, 11 and 13 there is also number 17 – which we believe is extremely important. The 17th goal is to ensure we create compelling partnerships in order to achieve these objectives, and this is precisely what our team in Germany are doing. We have been working alongside Teralytics and the South Pole Group to find a smarter data solution for air pollution in the city of Nuremburg. Urban areas and their respective local governments are facing immense challenges with accelerating rates of CO2 emissions. In their mission to ensure cleaner air for their cities, the first and most important step is to collect accurate data to identify where the major air pollution hotspots are. Cities across Germany have shown excessive pollution levels in recent years and to combat this, we have been working with a wide range of public sector bodies to tackle this using mobile data. Working with partners, we are providing actionable insights about traffic and crowd mobility patterns to help the authorities in Nuremburg measure and predict pollution in a more cost-effective way, reducing the impact for the German taxpayer. Figure 2: How can we use Big Data to reduce pollution in Germany? For local governments, air quality management can be costly and more often than not, the way we study traffic is relatively manual, using roadside interview data and manual counters. Not only is this expensive, but it’s also often inaccurate – providing a small snapshot on how traffic really moves around cities and countries. However, by using mobile data the authorities in Germany are now able to shift to Big Data, rather than small samples, receiving insights on a regular, more dynamic basis against more traditional data collection methods. Mobile data technologies, such as Smart Steps, allow us to know how fast cars are travelling, which roads suffer with more traffic and which mode of transport people are using (and much more). After anonymising and aggregating our data, we are able to provide key insights for pollution analysis and transport planners looking to decarbonise their cities. Figure 3: Calculating pollution using mobile phone data. For decision makers in Nuremberg, tackling air pollution is a top priority. Officials have drafted a new clean air plan and the results of their pilot project will enable them to priortise according to the needs of the city. As Germany’s largest mobile communications provider in terms of subscribers, Telefónica and LUCA will transform the data using their advanced technology platform based on machine-learning and advanced algorithms with Teralytics. Then, the South Pole Group will provide the analysis to calculate air pollution emissions. Data quality checks will be performed using historical data for comparison. Using the results of this project, Nuremberg will be able to identify which areas of the region are worst affected. For example, the city council may substitute transportation options which have high emissions with greener solutions, or they may identify areas to extend bicycle lanes. By having better traffic data, cities like Nuremberg can now rise up against the challenges of pollution and smog – improving the lives of thousands of citizens. Alexander Lange, who works in Business Development in LUCA in Germany, presented this project in Berlin at the European Commission’s conference “Decarbonising Transport: Smart Mobility Innovation for Sustainable Cities“. If you would like to find out more, please contact us here to receive more information on this ground-breaking project. Commuter Traffic: Can Big Data solve the problem?Telefónica Mannequin Challenge
Patrick Buckley Robot Waiters – The future or just a gimmick? As we continue to battle the COVID-19 pandemic, the hospitality industry is looking to technology as a way to keep workers safe. Could robot waiters be the answer? In...
Patrick Buckley How will AI change the labour market for the better? From the way we shop, to the way we learn, the digital world in which we live is unrecognisable from the reality of a decade ago. One area which...
Patrick Buckley How AI is helping fashion retailers stay afloat With an estimated current global market value surpassing 406 billion USD, the fashion industry is one of the most significant yet vulnerable industries out there. In an ever-worsening socio-economic...
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...
This is very common problem n very organization to make their big data shorter or summarize from for its representing to the other person, for making this task quicker many organization hires the team of data scientist for doing this task and they always prefer to get data scientist form this activewizards.com/. Reply