In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place. In the marketing campaign, the companies want to target the real user of the GSM (global system for mobile communications), not the line owner. Where sometimes they may not be the same. This work proposes a method that predicts users' gender and age based on their behavior, services and contract information. We used call detail records (CDRs), customer relationship management (CRM) and billing information as a data source to analyze telecom customer behavior, and applied different types of machine learning algorithms to provide marketing campaigns with more accurate information about customer demographic attributes. This model is built using reliable data set of 18,000 users provided by SyriaTel Telecom Company, for training and testing. The model applied by using big data technology and achieved 85.6% accuracy in terms of user gender prediction and 65.5% of user age prediction. The main contribution of this work is the improvement in the accuracy in terms of user gender prediction and user age prediction based on mobile phone data and end-to-end solution that approaches customer data from multiple aspects in the telecom domain.

The founder of Huawei has said that the firm can withstand attempts by foreign governments to shut out the Chinese technology giant. Ren Zhengfei said US was attempting to "crush" his company by encouraging allies not to use Huawei-made equipment. He warned that by turning their back on Huawei they risked falling behind in areas like 5G rollout, which Huawei has helped pioneer in recent years. "There's no way the US can crush us," he told the BBC. "The world cannot leave us because we are more advanced. Even if they persuade more countries not to use us temporarily, we can always scale things down a bit."

To work toward closing the AI gap, the study found several priorities on which Europe should focus. First, the continent must continue the development of a "vibrant ecosystem" of firms that will leverage AI technology. Veteran firms must also move ahead with digital transformations, rather than relying on their younger counterparts. Focus should also remain on the digital single market, which covers marketing, e-commerce, and telecommunications. Finally, by searching for and cultivating a talented and skilled workforce – be it through education or retraining – as well as finding paths on which to "guide societies through the potential disruption" (such as unease about potential unemployment), Europe can and will position itself more advantageously among the industry's international leaders.

Nowadays the increasing and rapid progress of technology and the availability of electronic documents from a variety of sources have made a huge amount of textual data available. Hence, one of the prominent research topics of statistical andmachine learning communities is to provide suitable and feasible methods to extract high-quality information from unstructured textual data (Lata and Loar, 2018) for the different purposes of clustering, classification and document retrieval (Khan et al., 2010). This work originates from an empirical problem of classification of the content ofcalls made to the customer service of an important mobile phone company inItaly. The received calls are written down by an operator and classified into relevant classes (e.g.

In the wake of recent customer data breaches, companies are recognizing the need for more protections and transparency around the collection and use of customer data. But few have paid equal attention to the issues arising from the collection and mining of workplace data. Companies have vast amounts of valuable data on work and their workforce, and executives recognize the opportunity to use this data to improve productivity and to motivate and engage people. We surveyed more than 10,000 workers, across all skill levels and generations, and 1400 C-level executives, in 13 countries and 13 industries. We found that more than 90% of the employees are willing to let their employers collect and use data on them and their work, but only if they benefit in some way.

"Machine learning is the big one," Duncan Stewart, the director of technology, media, and telecommunications research at Deloitte Canada, told CNBC. The dominant tech trend in places like Southeast Asia will not be artificial intelligence as a whole, but rather it will be the more specific AI field of machine learning, according to a researcher from Deloitte. "Machine learning is the big one, not AI. AI's a very broad field, we are talking about the very narrow field of machine learning," Duncan Stewart, the director of technology, media, and telecommunications research at Deloitte Canada, told CNBC. Deloitte predicts that the next 12 months will see significant progress in augmented reality, mobile device usage, and increasingly sophisticated chips.

Apple is selling older iPhones in Germany again, amid an ongoing dispute with chipmaker Qualcomm. For now, all of the iPhone 7 and 8 models that are returning to sale will use the chipmaker's components to get around a patent dispute and allow them to be bought again in Germany, Apple said. But it remained committed to fighting the argument that led to the ban, it said, and continued to attack Qualcomm over the patent dispute that has blighted both companies. "Qualcomm is attempting to use injunctions against our products to try to get Apple to succumb to their extortionist demands. In many cases they are using patents they purchased or that have nothing to do with their cellular technology to harass Apple and other industry players," an Apple spokesperson said.

China is moving forward in the global "race to 5G," as state-owned carrier China Mobile has announced (via Xinhua) that it's already building the first 5G smart highway -- a city-scale system of roads capable of supporting cellular network-coordinated transportation services. The infrastructure is currently under construction in Wuhan, the capital of China's centrally located Hubei Province. As the country's largest telecommunications company, China Mobile plans to roll out a collection of 5G services on the highway, beginning with "smart toll stations" that could do away with current toll transponders and human operators. The carrier also plans to gather real-time traffic information and make AI-assisted predictions using the data, as well as supporting autonomous cars. While China Mobile isn't the world's first carrier to either announce 5G highway plans or begin limited deployments, it may wind up being the first to offer actual commercial and coordinated transportation services on live highways -- depending on progress made by rivals in other countries.

At HUAWEI CONNECT 2018, we unveiled our AI strategy and portfolio. At HUAWEI EC0-CONNECT EUROPE 2018, we explored how we can work with our partners and customers to create an open industry ecosystem and help build pervasive intelligence in Europe. We also spoke to Europe's industry leaders and prominent experts about artificial intelligence, including Marco Menichelli, CTO of XSENSE. The full interview transcript is below. Marco Menichelli: What I call Artificial Intuition.