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Lichtenau/Baden, Germany – LS telcom announced that organizations now have the possibility to validate real world radio coverage for an area of interest with their new solution SpectrumMap. As a cloud based big data system SpectrumMap gathers real spectrum usage data from a monitoring network and presents the data on a map in a fast, user-friendly way. The system collects and stores spectrum data from many monitoring sources, such as fixed sites, temporary sites, mobile,... Source: RealWire
Harwell, Oxfordshire, 21st September 2017.
Severn Trent Water are now trialling Rezatecrsquo;s unique and pioneering asset risk monitoring and pipeline leakage detection data products with a view to reducing their costs and improving operational efficiency.

The satellite-powered geospatial data analytics provide important insights to support asset maintenance and event management and can facilitate intelligent deployment of ground survey teams for targeted investigation and remediation activities.Using its innovative approach to analysing big data including machine learning... Source: RealWire
London, UK, 20 September 2017 – Leading industry figures from across the European telecommunications industry are Lisbon-bound next month for the inaugural Connected Europe conference and exhibition.

Themed “High Speed Connectivity for Europersquo;s Futurerdquo;, the event will look at how the region is going to meet EU priorities in an environment further complicated by IoT, 5G, smart cities and big data.Among those taking part are Paulo Neves, Chairman of PT Portugal, Enrique Blanco Nadales, Global... Source: RealWire
The BT cybersecurity RD centre will provide more than 170 jobs across cybersecurity, machine learning, data analytics, big data engineering, cloud computing, and software engineering, the NSW government said.
Technology provides businesses across all industries with tools and capabilities that optimize operations in order to maximize revenue and minimize waste. Many industries now have access to up-to-date information on customer experience, product acceptance, and financial transactions. Organizations no longer have to wait in the dark until the end of the week, month, or quarter, to find out whether marketing campaigns are producing intended results. Instead, decision makers can view, analyze, and respond to results in real time.According to a survey from Dell, companies that have added big data strategies have grown by 50 percent. Although adding troves of digital information alone is not likely to be the primary cause of that growth, the correlation appears significant enough to demonstrate that thriving businesses see data as an integral part of their growth-oriented operational asset mix. Because so many successful organizations recognize this, data science—the mining and utilization of that information—has become a new economic cornerstone of enterprise success.To read this article in full or to leave a comment, please click here
In-memory computing (IMC) technologies have been available for years. However, until recently, the cost of memory made IMC impractical for all but the most performance-critical, high value applications.Over the last few years, however, with memory prices falling and demand for high performance increasing in just about every area of computing, Irsquo;ve watched IMC discussions go from causing glazed eyes to generating mild interest, to eliciting genuine excitement: “Please! I need to understand how this technology can help me!”Why all the excitement? Because companies that understand the technology also understand that if they donrsquo;t incorporate it into their architectures, they wonrsquo;t be able to deliver the applications and the performance their customers demand today and will need tomorrow.
In-memory data grids and in-memory databases, both key elements of an in-memory computing platform, have gained recognition and mindshare as more and more companies have deployed them successfully.To read this article in full or to leave a comment, please click here
Every day human beings eat, sleep, work, play, and produce datamdash;lots and lots of data.

According to IBM, the human race generates 2.5 quintillion (25 billion billion) bytes of data every day.

Thatrsquo;s the equivalent of a stack of DVDs reaching to the moon and back, and encompasses everything from the texts we send and photos we upload to industrial sensor metrics and machine-to-machine communications.Thatrsquo;s a big reason why “big datardquo; has become such a common catch phrase.
Simply put, when people talk about big data, they mean the ability to take large portions of this data, analyze it, and turn it into something useful.To read this article in full or to leave a comment, please click here
For the longest time, the structure of a typical business application remained the same.
Implementation details could vary, but the solution invariably consisted of the front end, the business logic, and the data management layer.We started with mon...
Artificial intelligence (AI) is already a part of consumer applications and is fast becoming a larger part of our work environment.
It is offering ways to improve our communication with customers through chatbots and personalize our marketing efforts through big data analysis done by machine learning.

AI can also help improve sales rep productivity and performance through analysis of current processes and approaches with your prospects.As such, itrsquo;s generating an incredible new market opportunity.

According to a recent report by International Data Corp., the market could deliver approximately $47 billion in revenue by 2020, as well as generate even more for those organizations that incorporate AI as part of their processes, driving greater profitability from the efficiency and market intelligence thatrsquo;s delivered.To read this article in full or to leave a comment, please click here
If you want to know how to do open source the smart way, pay attention to LinkedIn.
It has delivered some of the industryrsquo;s most impressive open source software, most recently its Cruise Control load-balancing tool for Apache Kafka, a distributed streaming platform also developed by LinkedIn that is used to build real-time data pipelines and streaming apps in big data applications.To read this article in full or to leave a comment, please click here
Powered by big data and machine learning, next-gen attacks will include perpetual waves of malware, phishes, and false websites nearly indistinguishable from the real things. Here's how to prepare.
Retailers have become so adept at capturing and analyzing consumer data that there is now a real risk that they might alienate customers by revealing just much they know about our lifestyle, habits, and preferences.
So if retailers want their big data investments to pay off, they must tread carefully. Big data exploitation in retail is no longer restricted to tracking and responding to broad trends; itrsquo;s become very personal. Which is great if the result is that customers find exactly what they were looking for; less so if it feels intrusive or invasive.To read this article in full or to leave a comment, please click here