�ݺ�ߣshows by User: Anodot

�ݺ�ߣshows by User: Anodot / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Anodot / Wed, 22 Mar 2017 08:47:26 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Anodot Autonomous Analytics /slideshow/autonomous-analytics/73467881 autonomousanalytics-170322084726
Presented by Ira Cohen, Chief Data Scientist at Anodot, at the "Finding the needle in the haystack" Meetup in San Jose at the PayPal headquarters. The Meetup featured presentations from PayPal, Uber and Anodot. Participants learned about how anomaly detection automatically surfaces insights from huge amounts of data with high dimensionality and drives better and faster decision making.]]>
Presented by Ira Cohen, Chief Data Scientist at Anodot, at the "Finding the needle in the haystack" Meetup in San Jose at the PayPal headquarters. The Meetup featured presentations from PayPal, Uber and Anodot. Participants learned about how anomaly detection automatically surfaces insights from huge amounts of data with high dimensionality and drives better and faster decision making.]]> Wed, 22 Mar 2017 08:47:26 GMT /slideshow/autonomous-analytics/73467881 Anodot@slideshare.net(Anodot) Autonomous Analytics Anodot Presented by Ira Cohen, Chief Data Scientist at Anodot, at the "Finding the needle in the haystack" Meetup in San Jose at the PayPal headquarters. The Meetup featured presentations from PayPal, Uber and Anodot. Participants learned about how anomaly detection automatically surfaces insights from huge amounts of data with high dimensionality and drives better and faster decision making. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/autonomousanalytics-170322084726-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Presented by Ira Cohen, Chief Data Scientist at Anodot, at the "Finding the needle in the haystack" Meetup in San Jose at the PayPal headquarters. The Meetup featured presentations from PayPal, Uber and Anodot. Participants learned about how anomaly detection automatically surfaces insights from huge amounts of data with high dimensionality and drives better and faster decision making.

Autonomous Analytics from Anodot

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0 Disrupt the static nature of BI with Predictive Anomaly Detection /slideshow/odsc-west-disrupt-the-static-nature-of-bi-with-predictive-anomaly-detection/68981628 anodotbiconference2016newdetailed-161115081137
The static nature of BI today results in business insight latency, that cost companies millions of dollars. Data-centric companies like web-based businesses, digital advertising, fintech and IoT need real time business detection to optimize their business performance. In this presentation, Nir Kalish, Sr. Director of Solution Engineering, explains how this can be achieved using Predictive Anomaly Detection. Presented at ODSC West, November 2016.]]>
The static nature of BI today results in business insight latency, that cost companies millions of dollars. Data-centric companies like web-based businesses, digital advertising, fintech and IoT need real time business detection to optimize their business performance. In this presentation, Nir Kalish, Sr. Director of Solution Engineering, explains how this can be achieved using Predictive Anomaly Detection. Presented at ODSC West, November 2016.]]> Tue, 15 Nov 2016 08:11:37 GMT /slideshow/odsc-west-disrupt-the-static-nature-of-bi-with-predictive-anomaly-detection/68981628 Anodot@slideshare.net(Anodot) Disrupt the static nature of BI with Predictive Anomaly Detection Anodot The static nature of BI today results in business insight latency, that cost companies millions of dollars. Data-centric companies like web-based businesses, digital advertising, fintech and IoT need real time business detection to optimize their business performance. In this presentation, Nir Kalish, Sr. Director of Solution Engineering, explains how this can be achieved using Predictive Anomaly Detection. Presented at ODSC West, November 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anodotbiconference2016newdetailed-161115081137-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The static nature of BI today results in business insight latency, that cost companies millions of dollars. Data-centric companies like web-based businesses, digital advertising, fintech and IoT need real time business detection to optimize their business performance. In this presentation, Nir Kalish, Sr. Director of Solution Engineering, explains how this can be achieved using Predictive Anomaly Detection. Presented at ODSC West, November 2016.

Disrupt the static nature of BI with Predictive Anomaly Detection from Anodot

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0 Analytics for large-scale time series and event data /slideshow/analytics-for-largescale-time-series-and-event-data/63802006 anomalydetectionanodotdraft-160707064125
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.]]>
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.]]> Thu, 07 Jul 2016 06:41:25 GMT /slideshow/analytics-for-largescale-time-series-and-event-data/63802006 Anodot@slideshare.net(Anodot) Analytics for large-scale time series and event data Anodot Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anomalydetectionanodotdraft-160707064125-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.

Analytics for large-scale time series and event data from Anodot

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0 https://cdn.slidesharecdn.com/profile-photo-Anodot-48x48.jpg?cb=1568914514 Anodot is disrupting the static nature of the Business Intelligence (BI) market with a unique technology for real-time analytics and automated anomaly detection for big data. Using patented machine learning algorithms, Anodot automates the discovery of outliers in vast amounts of data, isolates issues and correlates them across multiple parameters. Operating in real time, Anodot delivers business insights immediately, predicts events before they happen and supports rapid business decisions that help maximize revenues and production for Web-based, e-commerce, ad tech, IoT and manufacturing businesses. www.anodot.com https://cdn.slidesharecdn.com/ss_thumbnails/autonomousanalytics-170322084726-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/autonomous-analytics/73467881 Autonomous Analytics https://cdn.slidesharecdn.com/ss_thumbnails/anodotbiconference2016newdetailed-161115081137-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/odsc-west-disrupt-the-static-nature-of-bi-with-predictive-anomaly-detection/68981628 Disrupt the static nat... https://cdn.slidesharecdn.com/ss_thumbnails/anomalydetectionanodotdraft-160707064125-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/analytics-for-largescale-time-series-and-event-data/63802006 Analytics for large-sc...