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Wednesday, November 21, 2018

Great Customer Feedback about the #CapacityManagement Service I Provide

I have just got an internal feedback which has impressed me so I have decided to share that here as a good indication of making difference by Capacity Management service I provide to my customers:

..."Igor has helped us on a couple of instances, prevent potential disasters within our platform by the historical trends he’s tracking.  We know this since there was one occasion where our server crashed when we didn't react fast enough to Igor’s email warnings..."

Wednesday, November 14, 2018

AIXCHANGE (Virtual #CMGnews Event about #AI) November 27 @ 10:00 am - 3:00 pm EST

Attend this virtual conference all about artificial intelligence!
Conference rooms and office stand-ups are all buzzing. Artificial intelligence (AI) is emerging to represent one of the largest technological shifts across countless industries in recent history.
From driving manufacturing to supporting marketing to improving customer retention to improving ITops, AI is become the most in-demand technology of IT execs and quickly rising to the top of the list for IT investment in 2019.
According to recent reports, the machine learning market alone is anticipated to grow from $1.4B in 2017 to $8.8B by 2022.
CMG wants to help you to navigate this technological shift and keep you the smartest team member at the table. On November 27th, join CMG and its partners for AIXCHANGE. The latest of CMG’s virtual conference program will feature live presentations from companies and individuals leading in the AI space.
Scheduled Sessions
  • 10:00 AM - The History and Future of AI with Bryan Krouse
  • 11:00 AM - The Machines are Talking - The Future of AI and Chat for the Enterprise with Stephen Mallik
  • 12:00 PM - A Practical Guide for Information Discovery Using Machine Learning and Visualization
  • 1:00 PM - To Be Announced!
  • 2:00 PM - Soon AI will Test Everything with Jason Arbon

Tuesday, November 13, 2018

"Implementation and Interpretation of Control Charts in R" - qcc package

I was pointed to the nice resent on-line publication: https://datascienceplus.com/implementation-and-interpretation-of-control-charts-in-r/ 

"...Control charts are used during the Control phase of DMAIC methodology. Control charts, also known as Shewhart charts or process-behavior charts, are a statistical process control tool used to determine if a manufacturing or business process is in a state of control. If analysis of the control chart indicates that the process is currently under control, then no corrections or changes to process control parameters are needed. Moreover, data from the method can be used to predict the future performance of the process. If the control chart indicates that the process is not in control, analysis of the chart can help determine the sources of variation, as this will result in degradation of process performance..."

My comment:
When I had been developing SEDS (Performance Anomaly Detection System) long ago (years ago) I looked at that package (and referenced the link to my early CMG papers, BTW) even not knowing how to write R programs (now I can!)... They might improved that, but I did not find that time the way to do MASF type of control charts. I have even dreamed to build SETDS charts (IT-Control Charts)  package on a open source way. So my approach is the same but different, please read details in my paper: