@zachmoskow The edge wasn't a bigger model — it was 175 years of proprietary data nobody else has. That's the whole case for enterprise AI starting with intelligence you already own, not another platform buildout:
https://t.co/WmEREN3YqW
Nvidia just paid $12.9B for Hugging Face.
Not because open source won — because the compute layer needed a stake in it. GLM 5.2 is near frontier-level. HF turned down $500M from Nvidia in Jan to stay independent. 6 months later, sold outright.
Open license ≠ open
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