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Logz.io Harnesses Artificial Intelligence to Mimic How the Human Brain Looks at Data

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TEL AVIV, ISRAEL and NEW YORK, NY--(Marketwired - August 16, 2016) - Logz.io, the log analysis company that offers the open-source ELK Stack as a cloud service, today released Cognitive Insights . This new analytics solution is powered by artificial intelligence that identifies critical events in IT environments before they cause further damage to the bottom line. With the growing amount of machine-generated Big Data within organizations, it is unrealistic to expect human beings to look at every piece of information. This causes most companies to face the challenge of detecting critical events in their increasingly complex IT environments early enough in order to take corrective actions. Cognitive Insights proactively alerts IT managers to problems before they outwardly affect the the business.


Singapore's Nugit raises 5.2M to make sense of big data using artificial intelligence

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That's the premise of Nugit, a Singapore-based startup focused on marketing that raised 5.2 million in fresh funding from Sequoia Capital's India fund this week. Nugit landed undisclosed seed funding from 500 Startups and The Hub Singapore last year. Founded by Australia-born marketing executive David Sanderson, Nugit sits between its customers and their data platforms -- it supports 15 right now, including Facebook Ad Manager, Google AdWords and DoubleClick -- to help make sense of realms of information. The idea is to make a digital marketer's job easier by cutting down on noise and producing "decision-ready reports," such as PowerPoint presentations, graphics and other visualizations. The company started out automating many of the processes that marketers are faced with when dealing with data, such as cleaning information and aligning it, until Sanderson -- formerly of GroupM and other ad agencies -- realized that computers could go beyond that and deliver insight that is difficult or seriously time-consuming for humans.


Robotics Online

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Putting Industry 4.0 into practice has become a universal lesson throughout the industry. However, most Industry 4.0 interpretations in recent years have mainly focused on the data side of things. To extend beyond the focus, this year at the 2016 Taipei International Industrial Automation Exhibition, NEXCOM will demonstrate how it harnesses the technology of edge to cloud connectivity, cloud-based machine learning and cognitive computing to tap into the power of big data analytics to improve factory operations. The first step to Industry 4.0 transformation is to establish connectivity between all the devices and equipment in a factory, then integrate cloud computing, big data analytics and artificial intelligence to create cyber-physical systems for building a smart factory. On the surface, Industry 4.0 may seem simple, but the underlying transformation must take various variables into account, such as robots, motion control systems, device connectivity and communication protocols.


How mobile carriers are using big data, artificial intelligence

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On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs VNFs using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.


How mobile carriers are using big data, artificial intelligence

#artificialintelligence

On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs virtual network functions using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.