Big Data news and updates
Telefónica presents its “megas in exchange for receiving advertising” plan
Telefónica presents its Movistar Ads division with which it seeks to be more efficient in advertising stimuli thanks to the potential offered by big data and artificial intelligence, with a worldwide growth of 20% this year. “For the Movistar client to see advertising tailored to their interests, we need their consent, this service allows us to see the good side of advertising, because it gives you something in return,” explains Elena Gil, CEO of LUCA.
What do AI experts reccommend we study to work and live with it
As a matter of fact, the last two years have doubled the job offers related to AI, and STEM courses are the most suitable to work in this discipline. Richard Benjamins, AI & Data Ambassador at Telefónica, thinks that “having an important mathematical base, we can take advantage of many good courses about data mining or the increasingly number of masters, which allow to easily complement the training for these fields”.
Richard Benjamins, “The data is the fuel for Artificial Intelligence”
Richard Benjamins, speaker at the I Technological Forum of Soria, shares what Artificial Intelligence is, where it comes from, the basic concepts and some of its’ uses to help us understand how to improve business and society. In addition to the most common applications in everyday life, such as recommendations of television programs or series; or the optimization of the supply chain in a company, “Artificial Intelligence is not only applicable in large companies, small businesses and SMEs can also make use of the AI thanks to the cloud.”
7 Big Data Winners and Losers
Big Data presents an opportunity for massive long-term growth for investors. Bank of America analysts have classified several companies as winners or losers, based on their investments in Big Data and Artificial Intelligence. Among them is Telefónica, classified as the winner by LUCA, the data unit, which offers services such as data management, data science, business insights analysis and infrastructure tools and more.
Telefónica presents five ethical principles of Artificial Intelligence
Telefónica has presented its principles reflecting how the company seeks to design, develop and use Artificial Intelligence, a tool that it has been using for years, thus making it one of the first companies in the world to have ethical guidelines that guarantee a positive impact on society. These principles emphasize equality and impartiality, transparency, clarity, privacy and security.
Telefónica organizes the V Conference of the Data Transparency Lab
Telefónica will host the fifth edition of the DTL 2018 Conference at its headquarters in Barcelona, created and promoted by the company to investigate the field of transparency regarding the use of data in the digital environment. During the day tools and winning projects of the call for scholarships of Telefónica 2017 will be presented, and Pedro A. de Alarcón, Director of the Big Data for Social Good area, will announce the launch of a Hackathon to solve challenges related to the transparency of algorithms, used to detect and avoid biases related to Artificial Intelligence.
Richard Benjamins: “Today we delegate decisions to machines without realising”
Richard Benjamins, AI and data ambassador at Telefónica, gave an interview at the past I Technology Forum of Soria on future challenges and where the world walks among the clouds of data. Promoting the creation of technology in the crossing of data for society, companies and more efficient services and better benefits.
Solutions to the big data challenge at the UN World Data Forum
The last UN World Data Forum held in Dubai highlighted the challenges of Big Data, emphasizing the need for greater education on the benefits that big data brings to society. Among the speakers, Pedro A. de Alarcón, Director of the Big Data for Social Good area of LUCA, showed the private sectors´ desire and need for better integration with the public sector regarding data issues: calling upon the national offices of statistics to define the methodology and standards by which the private sector should collect data to ensure that it is useful and beneficial to all.