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Safera – Crime Analytics & Predictions Platform

By | 2020-09-27T18:18:38+00:00 September 27th, 2020|Artificial Intelligence, Big Data, Big Data Technologies, Cloud Computing, Crime Analytics, Data Engineering, Data Sciences, Data Visualizations, Machine Learning, Natural Language Processing, Predictive Analytics, Predictive Modeling, Safera|

ClouDhiti, ThirdEye's sister company, is proud to announce the launch of Safera - a Crime Analytics & Predictions Platform. Law Enforcement and Public Safety Agencies around the world can rely on Safera to detect, [...]

Keeping the lights on in the times of Coronavirus – ThirdEye has a plan!

By | 2020-04-13T22:39:20+00:00 April 12th, 2020|Analytics, Artificial Intelligence, Big Data, Big Data Technologies, Cloud Computing, Cognitive Services, Data Analytics, Data Engineering, Data Sciences, Machine Learning, News|

Keeping the lights on in the times of Coronavirus - ThirdEye has a plan! Over the past few weeks, the word as we know it has become unrecognizable. The impact of the coronavirus, [...]

ThirdEye Data launches 3 new Open Source solutions for Anomaly Detection and Predictive Analytics

By | 2019-11-03T23:14:19+00:00 December 4th, 2018|Amazon, Amazon AWS Marketplace, Analytics, Apache Spark, Artificial Intelligence, AWS Marketplace, Azure, Big Data, Big Data Technologies, Blogs, Intelligent Analytical System, Machine Learning, Microsoft Azure, Open Source Solutions, Original Content, PowerBI, Predictive Analytics|

ThirdEye Data launches 3 new Open Source solutions for Anomaly Detection and Predictive Analytics Over the past 20 years, the Open Source Software (OSS) movement has given developers and programmers the freedom to experiment, [...]

Outlier Detection using Apache Spark Solution

By | 2019-01-02T11:57:19+00:00 November 6th, 2018|Analytics, Artificial Intelligence, Big Data, Big Data Technologies, Data Sciences, Machine Learning, Original Content, Predictive Analytics, Predictive Modeling, Recommendations|

Outlier Detection using Apache Spark Solution Sometimes an outlier is defined with respect to a context. Whether a data point should be labeled as an outlier depends on the associated context. For a bank [...]

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