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Tag: anomaly detection

Sisu Unveils New AI & ML Features for Its Decision Intelligence Engine

Sisu has announced an expansion of its decision intelligence engine with new algorithms, integrations, and capabilities, including predictive analytics and anomaly detection. The company says its platform now automatical Read more…

Splunk Shows Off Automated Anomaly Detection and More at .Conf22

Splunk kicked off its .conf22 user conference today by unveiling a host of updates to its core platform, including a demonstration of an automated anomaly detection system based on machine learning of time-series data an Read more…

Bigeye Spawns Automated Data Quality Monitoring from Uber Roots

Having high quality data is essential to having high quality analytics and accurate machine learning algorithms. But as data volumes grow, it becomes increasingly difficult to keep tabs on data quality using traditional Read more…

Models Trained to Keep the Trains Running

Steady advances in machine vision techniques such as convolutional neural networks powered by graphics processors and emerging technologies like neuromorphic silicon retina “event cameras” are creating a range of new Read more…

AIOps Becomes a Must-Have Tool In Age of COVID-19

“Is it Monday or Saturday?” You can be excused for forgetting which day of the week it is. After all, the days have sort of blurred together during the COVID-19 lockdown. It’s a minor change at the individual level Read more…

Four Key Attributes of Advanced Anomaly Detection

AI anomaly detection is just one tool in an arsenal that Gartner now refers to as augmented analytics, but it’s among the most important. By providing real-time intelligence into both positive and negative anomalies, A Read more…

Tibco Eyes ‘Data Science for Ops’ with Spotfire Upgrades

Data management and business intelligence vendors continue to push deeper into the cloud with a growing list of open-source tools while adding automation features such as machine learning and natural language queries des Read more…

Cassandra, Kafka Help Scale Anomaly Detection

The scaling of open-source platforms continues apace with the demonstration of an anomaly detection application capable of processing tens of billions of events per day using Apache Cassandra and Apache Kafka running on Read more…

Anodot Gains Patents for Anomaly Detection

Anodot, which focuses on using machine learning techniques to spot anomalies in time-series data, announced a pair of U.S. patent awards this week covering its autonomous analytics framework. The analytics vendor said Read more…

Waze App Gets Anodot Time-Series Upgrade

Anodot, which focuses on using machine learning techniques to spot anomalies in time-series data, said the crowdsourced traffic app Waze is using its real-time anomaly detection platform to improve app performance. Wa Read more…

Hidden Anomalies No Match for LivePerson’s Machine Learning Engine

LivePerson knows a thing or two about customer service. After all, the company runs the global chat and messaging infrastructure that connects 18,000 businesses like Citibank and Home Depot with millions of their own cus Read more…

Inside Anodot’s Anomaly Detection System for Time-Series Data

Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One company that's carving a Read more…

Elastic Stack Searches for Bigger Data Problems

Elastic is best known as the commercial vendor behind Elasticsearch, the open source search engine that's widely used around the world. But with this month's release of Elastic Stack V5, the company is staking a claim wi Read more…

Why ONI May Be Our Best Hope for Cyber Security Now

Huge volume of network data has made it all but impossible for the good guys to detect new security threats, which has created space for the bad guys to operate. But thanks to a new Apache big data project called Open Ne Read more…

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