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Argyle Data: Drowning in Data, Telcos Turn to Machine Learning to Provide Actionable Analytics

by Angela Guess A new press release out of Argyle Data reports, “In 2017, machine learning will become a mainstream tool for communications providers struggling to transform data overload into actionable analytics, according to Argyle Data. ‘The telecommunications industry is drowning in data,’ said Padraig Stapleton, Vice President of Engineering at Argyle Data. ‘Functions like […]

Gartner Warns of IoT Data Overload

by Angela Guess Donal Power recently wrote in ReadWrite, “The growth of Internet of Things (IoT) is rapidly increasing the amount of data generated, and industry experts warn that the current river of unstructured data will soon turn into a flood. Alarmingly, a recent study highlighted concerns that most proposed approaches could lead to data […]

Beyond Hadoop: Integrating Countless Unstructured Data Streams

by Angela Guess Daniel Gutierrez recently wrote in InsideBigData, “Industrial environments such as those found within large electric and gas utilities are producing massive volumes of data in real-time that is overwhelming traditional ICT architectures. Additionally, the variety of operational data generated in industrial environments is orders of magnitude more complex than what is typically […]

Lockheed Martin and the Problem of Too Much Big Data

by Angela Guess Derrick Harris of GigaOM recently wrote, “I’m probably guilty of spending too much time talking to startups and web companies, to the point where it’s easy to forget that not everyone is regularly re-architecting their applications and inserting new tools into their data-processing pipelines. Not every company is Facebook, where storage is […]

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