Skip to content
OnData.blog

OnData.blog

Menu

  • Articles
  • By topic
  • About
  • Linkedin
  • Facebook
  • twitter
  • RSS

itsm

Practical AIOps: 5 use cases

In Sopra Steria we manage the IT infrastructure and applications of big clients. We process millions of service tickets and infrastructure events. This massive stream of data comes from monitoring tools such as Zabbix, Nagios, Solarwinds, and higher level frameworks:

Pawel Plaszczak June 8, 2021June 14, 2021 Articles No Comments Read more

Data Puzzle

Here is a new data puzzle, coming from my recent analytics in Sopra Steria. I will describe the problem, but not the answer. If you like the challenge, please contribute your thoughts in the comments. The title of the data

Pawel Plaszczak March 24, 2021March 29, 2021 Articles 4 Comments Read more

A picture worth 1,000 words

I love mountains. Some of my dear ones say that this is only because they resemble histograms, which I love more. Not true (ha ha), but I must agree that visualizations done properly brings plenty of satisfaction. Histograms, when prepared

Pawel Plaszczak February 27, 2021March 4, 2021 Articles No Comments Read more

3 Steps to Unmask Data in Camouflage

I am looking at distribution of a certain data set (left). It has two peaks (this is called ‘bimodal’) therefore I suspect that those are two overimposed populations. How do I split the data, to rediscover the original two populations

Pawel Plaszczak June 29, 2020November 20, 2021 Articles No Comments Read more

The truth behind a histogram dent

Here is quite intriguing research with the data of our Sopra Steria IT operations (ITSM, AIOps, and Infrastructure Management). I’ve been faced with an interesting situation in an IT Applications Management project for a large corporate client. In such a

Pawel Plaszczak June 19, 2020June 29, 2020 Articles No Comments Read more

How to isolate data that constitutes a spike in histogram?

How to isolate data that constitutes a spike in histogram?

We would all love to spot business problems early on, to react before they become painful. You can learn a lot by looking at past problems. Hence, understanding the nature of anomalies in data can bring substantial operational benefits and

Pawel Plaszczak October 1, 2019November 20, 2021 Articles 2 Comments Read more

Recent Posts

  • Moving On April 4, 2026
  • Data Literacy: Six examples of bad data interpretation April 29, 2024
  • Porting PyTorch neural network to Amazon AWS June 30, 2022
  • Porting pyTorch cloud detection model to Amazon AWS S3 June 17, 2022
  • pushing data to AWS. SageMaker sucks. So does Anaconda June 14, 2022
  • Linear Regression: Killer App with 19-century maths January 19, 2022
  • Democratization of statistics: Chi2 for non-experts January 12, 2022
  • An approach to categorize multi-lingual phrases December 15, 2021
  • The implications of Scikit-learn bug #21455 November 29, 2021
  • Your model may be inaccurate November 25, 2021

Recent Posts

  • Moving On
  • Data Literacy: Six examples of bad data interpretation
  • Porting PyTorch neural network to Amazon AWS
  • Porting pyTorch cloud detection model to Amazon AWS S3
  • pushing data to AWS. SageMaker sucks. So does Anaconda

Recent Comments

  • Pawel Plaszczak on How to isolate data that constitutes a spike in histogram?
  • robert on How to isolate data that constitutes a spike in histogram?
  • Marcello Anselmi Tamburini on Your model may be inaccurate
  • C on Product Owner vs Product Manager vs Architect
  • Houcem on Don’t trust Data Science. Ask the people

Archives

  • April 2026
  • April 2024
  • June 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • June 2021
  • April 2021
  • March 2021
  • February 2021
  • October 2020
  • July 2020
  • June 2020
  • April 2020
  • March 2020
  • February 2020
  • November 2019
  • October 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • July 2018
  • November 2016

Categories

  • Articles
  • General Public
  • Uncategorized

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Copyright © 2026 OnData.blog. All rights reserved. Theme Spacious by ThemeGrill. Powered by: WordPress.