Anomali

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Anomali® detects adversaries and tells you who they are. Organizations rely on the Anomali Threat Platform to detect threats, understand adversaries, and respond effectively. Anomali arms security teams with machine learning optimized threat intelligence and identifies hidden threats targeting their environments. The platform enables organizations to collaborate and share threat information among trusted communities and is the most widely adopted platform for ISACs and leading enterprises worldwide.

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DBS LEVERAGES BIG DATA ANALYTICS TO REDUCE TRADE ANOMALIES

Cloudera Inc | September 01, 2016

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DBS Bank, which is shaping the future of banking, continues to blaze a path in the industry, including in the traditionally paper-based trade finance business. The bank said today that working in partnership with A*STAR’s Institute for Infocomm Research (I2R), Singapore’s largest ICT research institute, and Cloudera, the leading provider of a data management and analytics platform built on the Apache Hadoop ecosystem...

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SISENSE INTRODUCES SISENSE PULSE, LEVERAGING MACHINE LEARNING TO AUTOMATICALLY ALERT USERS TO DATA ANOMALIES

Sisense | April 12, 2017

news image

Sisense, disrupting the BI market by simplifying business analytics for complex data, announces the launch of Sisense Pulse, which provides proactive, smart and easily consumable notifications about a user’s most important business events, in real time when changes occur. Sisense Pulse leverages machine learning technology to analyze and learn data patterns to detect and proactively alert users to anomalies, inspiring business users to take action. This new alerting system deeply personali...

Read More

DETECTING ANOMALIES IN TIME SERIES DATA: DECIPHERING THE NOISE AND ZONING IN ON THE SIGNALS

insideBIGDATA | December 30, 2018

news image

You have the data. How do you make sense of it? The Internet of Things (IoT) is no longer a fancy marketing term thrown in to close a critical deal – it’s all around us. In the digital age, everyone has smart, connected machines, which are happily and continuously reeling in their data – by the truckload. In fact, according to Forbes, the global IoT market is estimated to hit US$457 billion by 2020. The question is, what do you do with all this data? Granted, every self-respect...

Read More

HOW DUTCH RAILWAYS USES BIG DATA TO KEEP SCHEDULES ON TRACK

techhq.com | January 13, 2020

news image

Transporting one million commuters each day, 92 percent of Dutch Railways Nederlandse Spoorwegen’s (NS) trains arrive on time, making it the third-most punctual rail service in the world, behind Switzerland and Japan. While certain delays are unavoidable results of severe weather or obstructions on the line, for exampleNS owes its industry-leading scheduling to big data analytics, thanks to thousands of sensors on its locomotives. As reported in TNW, NS has been leveraging the power of pre...

Read More
news image

DBS LEVERAGES BIG DATA ANALYTICS TO REDUCE TRADE ANOMALIES

Cloudera Inc | September 01, 2016

DBS Bank, which is shaping the future of banking, continues to blaze a path in the industry, including in the traditionally paper-based trade finance business. The bank said today that working in partnership with A*STAR’s Institute for Infocomm Research (I2R), Singapore’s largest ICT research institute, and Cloudera, the leading provider of a data management and analytics platform built on the Apache Hadoop ecosystem...

Read More
news image

SISENSE INTRODUCES SISENSE PULSE, LEVERAGING MACHINE LEARNING TO AUTOMATICALLY ALERT USERS TO DATA ANOMALIES

Sisense | April 12, 2017

Sisense, disrupting the BI market by simplifying business analytics for complex data, announces the launch of Sisense Pulse, which provides proactive, smart and easily consumable notifications about a user’s most important business events, in real time when changes occur. Sisense Pulse leverages machine learning technology to analyze and learn data patterns to detect and proactively alert users to anomalies, inspiring business users to take action. This new alerting system deeply personali...

Read More
news image

DETECTING ANOMALIES IN TIME SERIES DATA: DECIPHERING THE NOISE AND ZONING IN ON THE SIGNALS

insideBIGDATA | December 30, 2018

You have the data. How do you make sense of it? The Internet of Things (IoT) is no longer a fancy marketing term thrown in to close a critical deal – it’s all around us. In the digital age, everyone has smart, connected machines, which are happily and continuously reeling in their data – by the truckload. In fact, according to Forbes, the global IoT market is estimated to hit US$457 billion by 2020. The question is, what do you do with all this data? Granted, every self-respect...

Read More
news image

HOW DUTCH RAILWAYS USES BIG DATA TO KEEP SCHEDULES ON TRACK

techhq.com | January 13, 2020

Transporting one million commuters each day, 92 percent of Dutch Railways Nederlandse Spoorwegen’s (NS) trains arrive on time, making it the third-most punctual rail service in the world, behind Switzerland and Japan. While certain delays are unavoidable results of severe weather or obstructions on the line, for exampleNS owes its industry-leading scheduling to big data analytics, thanks to thousands of sensors on its locomotives. As reported in TNW, NS has been leveraging the power of pre...

Read More