Cloud Services Survey Reveals Critical Need for AI-Driven Continuous Optimization

Optimizing Cloud Applications for Performance and Cost is Beyond Human Scale
Opsani announced the results of a year-long survey of hundreds of enterprises running cloud services that revealed a critical need for artificial intelligence (AI)-driven, continuous optimization of live applications and their environments.

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ExecVision Launches Smart Alerts, AI-Powered Notifications that Auto-Surface Coachable Moments in Customer Conversations

Provides Managers Critical Insights to Make Better Decisions & Drive Performance Improvements
ExecVision, the only conversation intelligence platform that helps organizations close the Insights-to-Performance Gap, announced the release of Smart Alerts, automatic notifications that alert users to coachable moments in customer-facing conversations.

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As Mobile Traffic Dominates Over 50% of Retail Website Visits, Search Still Performs Better than Social Based on Episerver Analysis of 4 Billion Sessions

Episerver Releases Its Biannual B2C Benchmark Report Detailing Retail Key Performance Indicators Across Traffic Sources and Devices
Retail brands have a big opportunity to turn passive swipers into active shoppers as mobile device penetration is at an all-time high and social media conversions are trending upward – despite being outperformed by organic and paid search – according to data from

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Contentsquare Issues Global Online Holiday Shopping Data Focused on Retail Fashion

Stats on Site Performance, User Profiles and User Navigation Show Shoppers are Persistent about Taking Advantage of Deals During Black Friday and Cyber Monday, Among Other Findings
Experience analytics leader Contentsquare released in-depth, global data on online holiday shopping with a focus on the retail fashion sector.  The data, which was collected from Nov. 15 through Dec.

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Allocadia Expands Strength in Award-Winning Product Innovation with New CPO

Customers are driving impressive business growth with marketing performance management platform 
Allocadia, the leader in marketing performance management (MPM), announced that Rahul Nirula is joining the company as CPO to lead the next generation of product success and award-winning innovation.

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Integrating Search and Social: Best-Practices for Cross-Channel Marketing

Paid search and social are both performance channels with particular strengths and weaknesses. Used intelligently together, these two channels combine for a powerhouse multichannel campaign. Here’s what you need to know to successfully integrate your search and social campaigns.

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What Does Stochastic Mean in Machine Learning?

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The behavior and performance of many machine learning algorithms are referred to as stochastic.
Stochastic refers to a variable process where the outcome involves some randomness and has some uncertainty. It is a mathematical term and is closely related to “randomness” and “probabilistic” and can be contrasted to the idea of “deterministic.

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A Gentle Introduction to Stochastic in Machine Learning

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The behavior and performance of many machine learning algorithms are referred to as stochastic.
Stochastic refers to a variable process where the outcome involves some randomness and has some uncertainty. It is a mathematical term and is closely related to “randomness” and “probabilistic” and can be contrasted to the idea of “deterministic.

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Comparing production-grade NLP libraries: Accuracy, performance, and scalability

A comparison of the accuracy and performance of Spark-NLP vs. spaCy, and some use case recommendations. This is the third and final installment in this blog series comparing two leading open source natural language processing software libraries: John Snow Labs’ NLP for Apache Spark and Explosion AI’s spaCy.

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Amazon Redshift Performance – Bigger Clusters, or Bigger Nodes?

Last week, I looked into options for increasing the performance of an Amazon Redshift cluster that was currently using 10 large dense compute nodes (dc1.large). While investigating, I noticed that a cluster of 32 dc1.large nodes (the maximum for that node type) had the same number of CPUs, the same amount of storage, and a comparable amount of RAM to a cluster of 2 dc1.

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Performance Measures for Multi-Class Problems

For classification problems, classifier performance is typically defined according to the confusion matrix associated with the classifier. Based on the entries of the matrix, it is possible to compute sensitivity (recall), specificity, and precision. For a single cutoff, these quantities lead to balanced accuracy (sensitivity and specificity) or to the F1-score (recall and precision).

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Spark vs. Cassandra (Cyanite) for Metric Timeseries

An unsuccessful attempt to scale performance metrics processing by switching from Graphite/R to Spark/Cassandra/Cyanite
My typical workflow is to run load tests until the system fails (or discover production failure), extract data from Graphite (Whisper files produced by Carbon), import it into R, and then run a battery of statistical tests and visual explorations to find a root cause of the probl

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