193,000 IT tickets in a year at one insurance carrier.
~3,000 hit claims operations directly. 12,000+ touched underwriting and renewals.
Nobody was tracking any of it as business risk — just IT noise.
New piece 👇
https://t.co/cltwR7hF4D
Breaking Barriers In IT Operations: How To Adopt AI Change Management https://t.co/WY44frtpgF Written by @murthymln of SLK Software, The Automation Company
Learn how AI is transforming the landscape, from proactive monitoring to insightful observation, revolutionizing the way we approach IT. Murthy Malapaka, Head of Technology Transformation, SLK Software shares his views here: https://t.co/cdRxqvf9FI
Interesting news journey seems to have started with purchase of IPAD hencrdigital transformation possible second what is the value of this 13 million minutes for United https://t.co/7OPjom3v5c
What I don’t see come out on this report is lack of preparation through building intelligence before the digital transformation that I believe could have addressed these concerns https://t.co/jgdJ4NeKn8
This year I started a new series after writing about ITops4.0 last year.. It will be AI enabled IT services and in this article I am talking about preparing with first eliminating noise https://t.co/cjH2W1Swzt
We need to first remove the garbage before we embark on any kind of transformation digital or otherwise and automating an existing inefficient process does not make sense a simple principle that lot of automation projects miss these days #intelligencefirs https://t.co/12w56fd39l
I am very encouraged with this announcement where “ behavior” is used for the first time in IToperarional context by https://t.co/TLWZHseR2h the same time with Ai/ML platforms that they haveif this could be predicted,avoided if Bu…https://t.co/LyvsZBtTqv https://t.co/u069gM2KP8
8 hours MTTR the service with all the real time intelligence and root cause identification remediation available #incidentavoidance#ITOps4.0 https://t.co/jXHzoulO5R
Interesting read and the bright side of this is especially in IT operations is that the SME’s can spend time in teaching the algorithms and as they learn the old patterns they can support the new ones there will always be a continuous loop like this https://t.co/P9OF1jNf9a
There is no dearth of these new names as they say old wine in a new bottle the real question is if the enterprises can consume them knowing the actual business outcomes they provide has to be answered with cost and benefits to business as a KPI https://t.co/JonHh0xIrp
It looks like it is becoming very difficult to walk the talk on the area of AI/ML especially in infrastructure operations when companies like Facebook are not able to detect anomalies quickly looking at the time taken to restore service #incidentavoidance https://t.co/FwP6l26xUI